Papers of interest to readers of SIG-Metrics List (1)

Eugene Garfield eugene.garfield at THOMSONREUTERS.COM
Thu Sep 19 14:22:50 EDT 2013



Title:
Characterizing the Functional Similarity of Enzymes with High Co-Citation in Interaction Networks

Authors:
Tothmeresz, L; Grolmusz, V

Author Full Names:
Tothmeresz, Lilla; Grolmusz, Vince

Source:
PROTEIN AND PEPTIDE LETTERS, 20 (10):1181-1187; OCT 2013

Language:
English

Document Type:
Article

Author Keywords:
Co-citation, protein interaction networks, vertex similarity

KeyWords Plus:
AMINO-ACID-COMPOSITION; MOLECULAR INTERACTION DATABASE; HIV-1 REVERSE-TRANSCRIPTASE; SUPPORT VECTOR MACHINE; SYSTEMS BIOLOGY; SUBFAMILY CLASSES; FAMILY CLASSES; GRAPHIC RULES; RATE LAWS; PREDICTION

Abstract:
New methods for reliable quantitative analysis of biological network
data are in high demand in today's bioinformatics and systems biology.
Here we demonstrate the applicability of the co-citation, developed
earlier for the analysis of scientific literature for finding
functionally similar nodes in protein-protein interaction networks in
several model organisms. We prove the power of our approach in a novel
way: the predicted closely related enzymes are compared to the closeness
of their enzyme commission (EC) numbers, therefore we can numerically
evaluate our prediction method. We have found clear correspondence
between related enzymatic functions and high co-citation of proteins in
interaction networks.

Addresses:
[Tothmeresz, Lilla; Grolmusz, Vince] Eotvos Lorand Univ, Prot Informat Technol Grp, H-1117 Budapest, Hungary.
[Grolmusz, Vince] Uratim Ltd, H-1118 Budapest, Hungary.

E-mail Addresses:
grolmusz at pitgroup.org

Cited Reference Count:
54

Times Cited:
0

Publisher:
BENTHAM SCIENCE PUBL LTD, EXECUTIVE STE Y-2, PO BOX 7917, SAIF ZONE, 1200 BR SHARJAH, U ARAB EMIRATES

ISSN:
0929-8665

Web of Science Categories:
Biochemistry & Molecular Biology

Research Areas:
Biochemistry & Molecular Biology

IDS Number:
200BS

Unique ID:
WOS:000323042100013

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Title:
Scientometric assessment of engineering in Malaysians universities

Authors:
Tahira, M; Alias, RA; Bakri, A

Author Full Names:
Tahira, Muzammil; Alias, Rose Alinda; Bakri, Aryati

Source:
SCIENTOMETRICS, 96 (3):865-879; 10.1007/s11192-013-0961-4 SEP 2013

Language:
English

Document Type:
Article

Author Keywords:
Scientometric, Research performance evaluation, Engineering, Malaysia, h-index, h(G-H), h(m)

KeyWords Plus:
AUTHOR SELF-CITATIONS; H-INDEX; BIBLIOMETRIC INDICATORS; SCIENTIFIC-RESEARCH; RESEARCH OUTPUT; IMPACT FACTORS; HIRSCH-INDEX; SCIENCE; JOURNALS; EIGENFACTOR(TM)

Abstract:
There is a world trend for Research Performance Evaluation (RPE),
developing of new scientometric indices and examining of their
application. Consequently, concerns and anomalies arise about the
convergent validity and reliability of these indices for the decision
making purposes. This is especially prevalent in the
region/countries/disciplines having less or emerging trends of
publishing and getting citations. The present scientometric study
addresses usefulness of the most noted metric h-index along with other
selected indicators in the field of Engineering in Malaysians
universities. To understand, the role of this metric if any, we examined
the functional correlation, predictive value and its relationship with
national assessment criteria. Results report that this indicator has
good potential to work alone, ease in use and robust to get a broader
snapshot for positioning and performance evaluation. However, for better
decision making purpose, this can be used for broader contextual peer
assessment process along with other indicators. Its validity is further
checked with two size independent institutional h-indices: h(G-H) and
h(m).

Addresses:
[Tahira, Muzammil; Alias, Rose Alinda; Bakri, Aryati] UTM, Fac Comp, Dept Informat Syst, Skudai 81310, Johor, Malaysia.

E-mail Addresses:
mufals at yahoo.com

Funding Acknowledgement:
Ministry of Higher Education Malaysia (MOHE); Universiti Teknologi Malaysia (UTM) Skudai, Johor, Malaysia

Funding Text:
One of the authors would like to thank Ministry of Higher Education Malaysia (MOHE) and Universiti Teknologi Malaysia (UTM) Skudai, Johor, Malaysia for the International Doctoral Fellowship (IDF).

Cited Reference Count:
52

Times Cited:
0

Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS

ISSN:
0138-9130

Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
205IL

Unique ID:
WOS:000323437400014

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Title:
Using bibliometrics to support the facilitation of cross-disciplinary communication

Authors:
Williams, CJ; O'Rourke, M; Eigenbrode, SD; O'Loughlin, I; Crowley, SJ

Author Full Names:
Williams, Christopher J.; O'Rourke, Michael; Eigenbrode, Sanford D.;
O'Loughlin, Ian; Crowley, Stephen J.

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (9):1768-1779; 10.1002/asi.22874 SEP 2013

Language:
English

Document Type:
Article

Author Keywords:
communication skills, collaboration, multivariate analysis

KeyWords Plus:
INTERDISCIPLINARY RESEARCH; CONCEPTUAL MODELS; CITATION ANALYSIS; MISSING VALUES; SCIENCE; IMPUTATION; MAP

Abstract:
Given the importance of cross-disciplinary research (CDR), facilitating
CDR effectiveness is a priority for many institutions and funding
agencies. There are a number of CDR types, however, and the
effectiveness of facilitation efforts will require sensitivity to that
diversity. This article presents a method characterizing a spectrum of
CDR designed to inform facilitation efforts that relies on bibliometric
techniques and citation data. We illustrate its use by the Toolbox
Project, an ongoing effort to enhance cross-disciplinary communication
in CDR teams through structured, philosophical dialogue about research
assumptions in a workshop setting. Toolbox Project workshops have been
conducted with more than 85 research teams, but the project's
extensibility to an objectively characterized range of CDR
collaborations has not been examined. To guide wider application of the
Toolbox Project, we have developed a method that uses multivariate
statistical analyses of transformed citation proportions from published
manuscripts to identify candidate areas of CDR, and then overlays
information from previous Toolbox participant groups on these areas to
determine candidate areas for future application. The approach supplies
3 results of general interest:
1. A way to employ small data sets and familiar statistical techniques
to characterize CDR spectra as a guide to scholarship on CDR patterns
and trends.
2. A model for using bibliometric techniques to guide broadly applicable
interventions similar to the Toolbox.
3. A method for identifying the location of collaborative CDR teams on a
map of scientific activity, of use to research administrators, research
teams, and other efforts to enhance CDR projects.

Addresses:
[Williams, Christopher J.] Univ Idaho, Dept Stat, Moscow, ID 83844 USA.
[O'Rourke, Michael] Michigan State Univ, Dept Philosophy, E Lansing, MI 48824 USA.
[Eigenbrode, Sanford D.] Univ Idaho, Dept Plant Soil & Entomol Sci, Moscow, ID 83844 USA.
[O'Loughlin, Ian] Univ Iowa, Dept Philosophy, Iowa City, IA 52242 USA.
[Crowley, Stephen J.] Boise State Univ, Dept Philosophy, Boise, ID 83725 USA.

E-mail Addresses:
chrisw at uidaho.edu; orourk51 at msu.edu; sanforde at uidaho.edu; ian-oloughlin at uiowa.edu; stephencrowley at boisestate.edu

Funding Acknowledgement:
National Science Foundation [SES-0823058]

Funding Text:
This project was supported by National Science Foundation grant SES-0823058. We are grateful to James Danowski, Frank Davis, and Julie Thompson Klein for comments on previous versions of this article as well as to members of the Toolbox Project for their contributions to this article. We also appreciate comments by several anonymous reviewers that significantly helped to improve this article.

Cited Reference Count:
61

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
197SG

Unique ID:
WOS:000322870300002

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Title:
Statistics for the dynamic analysis of scientometric data: the evolution of the sciences in terms of trajectories and regimes

Authors:
Leydesdorff, L

Author Full Names:
Leydesdorff, Loet

Source:
SCIENTOMETRICS, 96 (3):731-741; 10.1007/s11192-012-0917-0 SEP 2013

Language:
English

Document Type:
Article

Author Keywords:
Dynamic, Evolution, Trajectories, Regimes, Entropy

KeyWords Plus:
SELF-ORGANIZED CRITICALITY; INNOVATION SYSTEMS; SOCIAL-NETWORKS; DRUG DISCOVERY; JOURNAL MAPS; LOCK-IN; INFORMATION; PERSPECTIVE; VISUALIZATION; COMMUNICATION

Abstract:
The gap in statistics between multi-variate and time-series analysis can
be bridged by using entropy statistics and recent developments in
multi-dimensional scaling. For explaining the evolution of the sciences
as non-linear dynamics, the configurations among variables can be
important in addition to the statistics of individual variables and
trend lines. Animations enable us to combine multiple perspectives
(based on configurations of variables) and to visualize
path-dependencies in terms of trajectories and regimes. Path-dependent
transitions and systems formation can be tested using entropy
statistics.

Addresses:
Univ Amsterdam, Amsterdam Sch Commun Res ASCoR, NL-1012 CX Amsterdam, Netherlands.

E-mail Addresses:
loet at leydesdorff.net

Cited Reference Count:
77

Times Cited:
0

Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS

ISSN:
0138-9130

Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
205IL

Unique ID:
WOS:000323437400006

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Title:
Global competencies of regional stem cell research: bibliometrics for investigating and forecasting research trends

Authors:
Watatani, K; Xie, ZQ; Nakatsuji, N; Sengoku, S

Author Full Names:
Watatani, Kenji; Xie, Zhongquan; Nakatsuji, Norio; Sengoku, Shintaro

Source:
REGENERATIVE MEDICINE, 8 (5):659-668; 10.2217/rme.13.51 SEP 2013

Language:
English

Document Type:
Article

Author Keywords:
management of technology, research and development strategy, research policy, scientometrics, stem cell, technology forecasting

KeyWords Plus:
SCIENCE; IMPACT; MAPS

Abstract:
We employed a bibliometric approach to examine regional stem cell
research in the USA, the UK, Japan and China based on publications from
2007 to 2011 with a co-citation clustering analysis to identify
region-specific clusters of global competencies. We observed that there
are clear differences in the number and interdisciplinary spread of
competencies across regions: the USA retains the largest capacity and
capability for pursuing medical and pharmaceutical applications; China
has shown substantial growth through fusion approaches with chemistry
and material sciences; Japan has been pursuing basic biology and is
currently seeking further growth; and the UK has shown considerable
growth and quality with a focus on medical research and the widest
interdisciplinary spread. Furthermore, we discuss policy implications
from these results in terms of industrial and clinical applications.
These findings provide a rational way of evaluating research policies
and forecasting research trends.

Addresses:
[Watatani, Kenji; Xie, Zhongquan; Nakatsuji, Norio; Sengoku, Shintaro] Kyoto Univ, Inst Integrated Cell Mat Sci WPI iCeMS, Kyoto, Japan.
[Watatani, Kenji] McKinsey & Co Inc, Tokyo, Japan.
[Xie, Zhongquan] Wuhan East Lake Hitech Ind Dev Zone, Wuhan, Peoples R China.

E-mail Addresses:
ssengoku at icems.kyoto-u.ac.jp

Funding Acknowledgement:
Japan's Cabinet Office Council for Science and Technology Policy; New Energy and Industrial Technology Development Organization (NEDO); World Premium International Research Center Initiative from Ministry of Education, Culture, Sports, Science and Technology of Japan

Funding Text:
This study was supported by the Funding Program for Next Generation World-Leading Researchers from Japan's Cabinet Office Council for Science and Technology Policy (K Watatani, Z Xie and S Sengoku), a research program funded by the New Energy and Industrial Technology Development Organization (NEDO; N Nakatsuji and S Sengoku) and by the World Premium International Research Center Initiative from the Ministry of Education, Culture, Sports, Science and Technology of Japan (K Watatani, Z Xie, N Nakatsuji and S Sengoku). The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

Cited Reference Count:
25

Times Cited:
0

Publisher:
FUTURE MEDICINE LTD, UNITEC HOUSE, 3RD FLOOR, 2 ALBERT PLACE, FINCHLEY CENTRAL, LONDON, N3 1QB, ENGLAND

ISSN:
1746-0751

Web of Science Categories:
Cell & Tissue Engineering; Engineering, Biomedical

Research Areas:
Cell Biology; Engineering

IDS Number:
209DU

Unique ID:
WOS:000323735200015

Cited References:
SMALL H, 1973, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V24, P265
Anzai Y, 2012, Technovation, V32, P345
Caulfield T, 2009, Nat. Rep. Stem Cells,
Klavans Richard, 2006, SCIENTOMETRICS10th International Conference on Scientometrics and Informetrics, JUL, 2005, Stockholm, SWEDEN, V68, P475
Brindley David A., 2011, CELL STEM CELL, V9, P397
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*Record 9 of 57.
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Title:
On bibliographic networks

Authors:
Batagelj, V; Cerinsek, M

Author Full Names:
Batagelj, Vladimir; Cerinsek, Monika

Source:
SCIENTOMETRICS, 96 (3):845-864; 10.1007/s11192-012-0940-1 SEP 2013

Language:
English

Document Type:
Article

Author Keywords:
Co-authorship, Collaboration, Two-mode network, Network multiplication, Sparse network, Normalization

KeyWords Plus:
COCITATION

Abstract:
In the paper we show that the bibliographic data can be transformed into
a collection of compatible networks. Using network multiplication
different interesting derived networks can be obtained. In defining them
an appropriate normalization should be considered. The proposed approach
can be applied also to other collections of compatible networks. The
networks obtained from the bibliographic data bases can be large
(hundreds of thousands of vertices). Fortunately they are sparse and can
be still processed relatively fast. We answer the question when the
multiplication of sparse networks preserves sparseness. The proposed
approaches are illustrated with analyses of collection of networks on
the topic "social network" obtained from the Web of Science. The works
with large number of co-authors add large complete subgraphs to standard
collaboration network thus bluring the collaboration structure. We show
that using an appropriate normalization their effect can be neutralized.
Among other, we propose a measure of collaborativness of authors with
respect to a given bibliography and show how to compute the network of
citations between authors and identify citation communities.

Addresses:
[Batagelj, Vladimir] Univ Ljubljana, Dept Math, FMF, Ljubljana 1000, Slovenia.
[Cerinsek, Monika] Hruska Doo, Ljubljana, Slovenia.

E-mail Addresses:
vladimir.batagelj at fmf.uni-lj.si; monika at hruska.si

Funding Acknowledgement:
ARRS, Slovenia [P1-0294]; European Science Foundation; European Union, European Social Fund

Funding Text:
The work was supported in part by the ARRS, Slovenia, grant P1-0294, as well as by grant within the EUROCORES Programme EUROGIGA (project GReGAS) of the European Science Foundation. The second author was financed in part by the European Union, European Social Fund.

Cited Reference Count:
16

Times Cited:
0

Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS

ISSN:
0138-9130

Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
205IL

Unique ID:
WOS:000323437400013

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BATAGELJ V, 1994, JOURNAL OF MATHEMATICAL SOCIOLOGY, V19, P53

========================================================================

*Record 10 of 57.
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Title:
Source normalized indicators of citation impact: an overview of different approaches and an empirical comparison

Authors:
Waltman, L; van Eck, NJ

Author Full Names:
Waltman, Ludo; van Eck, Nees Jan

Source:
SCIENTOMETRICS, 96 (3):699-716; 10.1007/s11192-012-0913-4 SEP 2013

Language:
English

Document Type:
Article

Author Keywords:
Bibliometric indicator, Citation analysis, Field normalization, Source normalization

KeyWords Plus:
NATIONAL RESEARCH PERFORMANCE; FIELD-NORMALIZATION; AUDIENCE FACTOR; CROSS-FIELD; SCIENCE; JOURNALS; RANKINGS; GERMANY; INDEX

Abstract:
Different scientific fields have different citation practices.
Citation-based bibliometric indicators need to normalize for such
differences between fields in order to allow for meaningful
between-field comparisons of citation impact. Traditionally,
normalization for field differences has usually been done based on a
field classification system. In this approach, each publication belongs
to one or more fields and the citation impact of a publication is
calculated relative to the other publications in the same field.
Recently, the idea of source normalization was introduced, which offers
an alternative approach to normalize for field differences. In this
approach, normalization is done by looking at the referencing behavior
of citing publications or citing journals. In this paper, we provide an
overview of a number of source normalization approaches and we
empirically compare these approaches with a traditional normalization
approach based on a field classification system. We also pay attention
to the issue of the selection of the journals to be included in a
normalization for field differences. Our analysis indicates a number of
problems of the traditional classification-system-based normalization
approach, suggesting that source normalization approaches may yield more
accurate results.

Addresses:
[Waltman, Ludo; van Eck, Nees Jan] Leiden Univ, Ctr Sci & Technol Studies, Leiden, Netherlands.

E-mail Addresses:
waltmanlr at cwts.leidenuniv.nl; ecknjpvan at cwts.leidenuniv.nl

Cited Reference Count:
37

Times Cited:
0

Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS

ISSN:
0138-9130

Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
205IL

Unique ID:
WOS:000323437400004

Cited References:
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Glaenzel Wolfgang, 2009, SCIENTOMETRICS, V78, P165

========================================================================
Title:
Gender disparity among US anaesthesiologists: are women underrepresented in academic ranks and scholarly productivity?

Authors:
Pashkova, AA; Svider, PF; Chang, CY; Diaz, L; Eloy, JA; Eloy, JD

Author Full Names:
Pashkova, A. A.; Svider, P. F.; Chang, C. Y.; Diaz, L.; Eloy, J. A.;
Eloy, J. D.

Source:
ACTA ANAESTHESIOLOGICA SCANDINAVICA, 57 (8):1058-1064; 10.1111/aas.12141 SEP 2013

Language:
English

Document Type:
Article

KeyWords Plus:
H-INDEX; PHYSICIAN SCIENTISTS; MEDICINE; CITATION; OTOLARYNGOLOGY; SPECIALTY; RESIDENCY; IMPACT; POWER

Abstract:
Introduction: The h-index is an objective indicator of research
productivity and influence on scholarly discourse within a discipline.
It may be a valuable adjunct for measuring research productivity, a key
component in decisions regarding appointment and promotion in academic
medicine. The objectives of this analysis were to (1) examine whether
there are gender disparities in research productivity among academic
anaesthesiologists, and (2) compare results to measures of research
productivity in other specialties.
Methods: A bibliometric analysis of faculty members from 25 academic
anaesthesiology departments was performed using the Scopus database.
Academic anaesthesiologists were organised by academic rank and gender.
The h-index and publication range (in years) of faculty members were
calculated.
Results: Male anaesthesiologists had higher research productivity, as
measured by the h-index, than female colleagues. Organised by rank, this
difference was noted only among full professors. Men had higher overall
and early-career research productivity, while women had mid-career
research productivity rates equivalent to and surpassing that of their
male colleagues. Gender disparities in research productivity were also
noted among a sample of academic physicians in other specialties.
Conclusions: While men had higher overall research productivity, women
had equivalent or higher mid-career research output, suggesting that
early-career considerations unique to women should be taken into account
during appointment and promotion in academic anaesthesiology. While
disparities in gender representation among anaesthesiologists have also
been noted in Europe, further study as to whether these differences also
extend to research productivity and academic promotion outside of the US
would be of interest.

Addresses:
[Pashkova, A. A.; Svider, P. F.] Univ Med & Dent New Jersey, Robert Wood Johnson Med Sch, New Brunswick, NJ USA.
[Svider, P. F.; Diaz, L.; Eloy, J. A.] UMDNJ, New Jersey Med Sch, Dept Otolaryngol Head & Neck Surg, Newark, NJ 07101 USA.
[Svider, P. F.; Chang, C. Y.; Eloy, J. D.] UMDNJ, New Jersey Med Sch, Dept Anesthesiol, Newark, NJ 07101 USA.
[Eloy, J. A.] UMDNJ, New Jersey Med Sch, Dept Neurol Surg, Newark, NJ 07101 USA.
[Eloy, J. A.] UMDNJ, New Jersey Med Sch, Ctr Skull Base & Pituitary Surg, Newark, NJ 07101 USA.

E-mail Addresses:
psvider at gmail.com

Cited Reference Count:
36

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
0001-5172

Web of Science Categories:
Anesthesiology

Research Areas:
Anesthesiology

IDS Number:
200NE

Unique ID:
WOS:000323075000015

Cited References:
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Eloy JA, 2013, Otolaryngol Head Neck Surg,
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Title:
Principal parameters affecting R&D exploitation of nanotechnology research: a case for Korea

Authors:
Cho, YD; Choi, HG

Author Full Names:
Cho, Young-Don; Choi, Hoo-Gon

Source:
SCIENTOMETRICS, 96 (3):881-899; 10.1007/s11192-013-0974-z SEP 2013

Language:
English

Document Type:
Article

Author Keywords:
Nanotechnology programs, Canonical correlation, R&D outputs, R&D outcomes, Principal parameters

KeyWords Plus:
CANONICAL CORRELATION-ANALYSIS; TECHNOLOGY-TRANSFER; ACADEMIC RESEARCH; IMPACT FACTOR; PUBLIC RESEARCH; DEA APPROACH; START-UPS; PERFORMANCE; UNIVERSITIES; INDICATORS

Abstract:
The purpose of this study is to determine principal parameters which
affect the R&D exploitation and to explore R&D activities in closed
science that positively affect those in open science. Based on 486
nanotechnology projects from five national R&D programs in South Korea,
canonical correlation analysis is used to analyze the relationships
among R&D parameters of inputs, outputs and outcomes and to determine
principle parameters. As a result, this study concludes that the
principal parameters are publications with high impact, patents, and
academic degrees. This study also shows a positive correlation between
activities in open science and closed science. The conclusions suggest
that research results with high impact value should be endorsed by the
Korean government and should try to keep a balance between R&D
exploitation in open science and closed science. This study would be
used for establishing South Korea's R&D policy effective for faster
commercialization of nanotechnology related research.

Addresses:
[Cho, Young-Don; Choi, Hoo-Gon] Sungkyunkwan Univ, Dept Syst Management Engn, Suwon, South Korea.
[Cho, Young-Don] Natl Res Fdn Korea, R&D Policy Team, Taejon, South Korea.

E-mail Addresses:
hgchoi at skku.edu

Cited Reference Count:
85

Times Cited:
0

Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS

ISSN:
0138-9130

Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
205IL

Unique ID:
WOS:000323437400015

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Title:
The influence of Taylor's paper, Question-Negotiation and Information-Seeking in Libraries

Authors:
Chang, YW

Author Full Names:
Chang, Yu-Wei

Source:
INFORMATION PROCESSING & MANAGEMENT, 49 (5):983-994; 10.1016/j.ipm.2013.03.003 SEP 2013

Language:
English

Document Type:
Article

Author Keywords:
Question negotiation, Information needs, Citation context analysis

KeyWords Plus:
CITATION CONTEXT ANALYSIS; SCIENCE; RETRIEVAL

Abstract:
This study uses bibliometric analysis and citation context analysis to
identify the influence of the main concepts embedded in Taylor's 1968
classic article entitled Question-Negotiation and Information-Seeking in
Libraries. This study analyses articles published between 1969 and 2010
which cite Taylor's article. The results show that Taylor's article on a
question-negotiation model is increasingly visible and its influence is
not limited to the discipline of library and information science. Of the
14 cited concepts identified, the concept of "four levels of information
needs" was cited most (31.7%), followed by "question negotiation"
(20.5%) and "other concepts relating to information needs" (17.9%). The
results indicate an increasing trend in the citations of "four levels of
information needs" and this concept also received the most attention
from information retrieval research. A decreasing trend was evident for
the concept of "question negotiation" and this concept was frequently
cited by reference service researchers. In addition, among the 10
citation functions, "related literature" was dominant (30.8%). Both
"evidence" and "views" were in second place with the same percentage
(18.7%), followed by "terms" (9.2%) and "background information" (7.2%).
A decreasing trend was identified in the top three citation functions,
whereas an increasing trend was observed in the "term" and "background
information" functions. (c) 2013 Elsevier Ltd. All rights reserved.

Addresses:
Fu Jen Catholic Univ, Dept Lib & Informat Sci, New Taipei City 24205, Taiwan.

E-mail Addresses:
ywchang at blue.lins.fju.edu.tw

Funding Acknowledgement:
Fu Jen Catholic University

Funding Text:
This work was supported by Fu Jen Catholic University.

Cited Reference Count:
35

Times Cited:
0

Publisher:
ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND

ISSN:
0306-4573

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
199VP

Unique ID:
WOS:000323023900001

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Title:
Full-text citation analysis: A new method to enhance scholarly networks

Authors:
Liu, XZ; Zhang, JS; Guo, C

Author Full Names:
Liu, Xiaozhong; Zhang, Jinsong; Guo, Chun

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (9):1852-1863; 10.1002/asi.22883 SEP 2013

Language:
English

Document Type:
Article

Author Keywords:
bibliometrics, text mining

KeyWords Plus:
FREQUENCY; RETRIEVAL

Abstract:
In this article, we use innovative full-text citation analysis along
with supervised topic modeling and network-analysis algorithms to
enhance classical bibliometric analysis and publication/author/venue
ranking. By utilizing citation contexts extracted from a large number of
full-text publications, each citation or publication is represented by a
probability distribution over a set of predefined topics, where each
topic is labeled by an author-contributed keyword. We then used
publication/citation topic distribution to generate a citation graph
with vertex prior and edge transitioning probability distributions. The
publication importance score for each given topic is calculated by
PageRank with edge and vertex prior distributions. To evaluate this
work, we sampled 104 topics (labeled with keywords) in review papers.
The cited publications of each review paper are assumed to be "important
publications" for the target topic (keyword), and we use these cited
publications to validate our topic-ranking result and to compare
different publication-ranking lists. Evaluation results show that
full-text citation and publication content prior topic distribution,
along with the classical PageRank algorithm can significantly enhance
bibliometric analysis and scientific publication ranking performance,
comparing with term frequency-inverted document frequency (tf-idf),
language model, BM25, PageRank, and PageRank + language model (p <
.001), for academic information retrieval (IR) systems.

Addresses:
[Liu, Xiaozhong; Guo, Chun] Indiana Univ, Sch Lib & Informat Sci, Bloomington, IN 47405 USA.
[Zhang, Jinsong] Dalian Maritime Univ, Transportat Management Coll, Dalian 116026, Peoples R China.

E-mail Addresses:
liu237 at indiana.edu; zjs.dlmu at gmail.com; chunguo at umail.iu.edu

Cited Reference Count:
31

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
197SG

Unique ID:
WOS:000322870300009

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Title:
A bibliometric analysis of climate engineering research

Authors:
Belter, CW; Seidel, DJ

Author Full Names:
Belter, Christopher W.; Seidel, Dian J.

Source:
WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE, 4 (5):417-427; 10.1002/wcc.229 SEP 2013

Language:
English

Document Type:
Article

KeyWords Plus:
GLOBAL ENVIRONMENTAL-CHANGE; SUSTAINABILITY SCIENCE; ATMOSPHERIC SCIENCE; SCIENTIFIC PAPERS; COMPLEX NETWORKS; COLLABORATION; CITATION; FERTILIZATION; COCITATION; EVOLUTION

Abstract:
The past five years have seen a dramatic increase in the number of media
and scientific publications on the topic of climate engineering, or
geoengineering, and some scientists are increasingly calling for more
research on climate engineering as a possible supplement to climate
change mitigation and adaptation strategies. In this context,
understanding the current state of climate engineering research can help
inform policy discussions and guide future research directions.
Bibliometric analysisthe quantitative analysis of publicationsis
particularly applicable to fields with large bodies of literature that
are difficult to summarize by traditional review methods. The
multidisciplinary nature of the published literature on climate
engineering makes it an ideal candidate for bibliometric analysis.
Publications on climate engineering are found to be relatively recent
(more than half of all articles during 1988-2011 were published since
2008), include a higher than average percentage of nonresearch articles
(30% compared with 8-15% in related scientific disciplines), and be
predominately produced by countries located in the Northern Hemisphere
and speaking English. The majority of this literature focuses on
land-based methods of carbon sequestration, ocean iron fertilization,
and solar radiation management and is produced with little collaboration
among research groups. This study provides a summary of existing
publications on climate engineering, a perspective on the scientific
underpinnings of the global dialogue on climate engineering, and a
baseline for quantitatively monitoring the development of climate
engineering research in the future. (C) 2013 John Wiley & Sons, Ltd.

Addresses:
[Belter, Christopher W.] NOAA, Cent Lib, LAC Grp, Silver Spring, MD USA.
[Seidel, Dian J.] NOAA, Air Resources Lab, College Pk, MD USA.

E-mail Addresses:
Chris.Belter at noaa.gov

Cited Reference Count:
58

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1757-7780

Web of Science Categories:
Environmental Studies; Meteorology & Atmospheric Sciences

Research Areas:
Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences

IDS Number:
201UV

Unique ID:
WOS:000323169400006

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Crutzen Paul J., 2006, CLIMATIC CHANGE, V77, P211
Moore J. C., 2010, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V107, P15699
Lambiotte R, 2009, Laplacian dynamics and multiscale modular structure in networks,
Keith DW, 2000, ANNUAL REVIEW OF ENERGY AND THE ENVIRONMENT, V25, P245
Li Jinfeng, 2009, CROATICA CHEMICA ACTA, V82, P695
Keith David W., 2010, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V107, P16428
Crabbe M. J. C., 2009, COMPUTATIONAL BIOLOGY AND CHEMISTRY, V33, P415
Garfield E, 1964, The use of citation data in writing the history of science,

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Title:
Response to "remarks on the paper by a. De Visscher, 'what does the g-index really measure?'"

Authors:
De Visscher, A

Author Full Names:
De Visscher, Alex

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (9):1960-1962; 10.1002/asi.22880 SEP 2013

Language:
English

Document Type:
Letter

Addresses:
Univ Calgary, Schulich Sch Engn, Dept Chem & Petr Engn, CEERE, Calgary, AB T2N 1N4, Canada.

E-mail Addresses:
adevissc at ucalgary.ca

Cited Reference Count:
8

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
197SG

Unique ID:
WOS:000322870300018

Cited References:
Tsallis C, 2000, EUROPEAN PHYSICAL JOURNAL B, V13, P777
Radicchi Filippo, 2008, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V105, P17268
Egghe Leo, 2006, SCIENTOMETRICS, V69, P131
Egghe L., 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2118
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
De Visscher Alex, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P2290
Lehmann S, 2003, PHYSICAL REVIEW E, V68,
Redner S, 1998, EUROPEAN PHYSICAL JOURNAL B, V4, P131

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Title:
Author name disambiguation in scientific collaboration and mobility cases

Authors:
Wu, J; Ding, XH

Author Full Names:
Wu, Jiang; Ding, Xiu-Hao

Source:
SCIENTOMETRICS, 96 (3):683-697; 10.1007/s11192-013-0978-8 SEP 2013

Language:
English

Document Type:
Article

Author Keywords:
Author disambiguation, Scientific collaboration, Scientific mobility, Coauthorship, Affiliation

KeyWords Plus:
INDEX

Abstract:
Scientists generally do scientific collaborations with one another and
sometimes change their affiliations, which leads to scientific mobility.
This paper proposes a recursive reinforced name disambiguation method
that integrates both coauthorship and affiliation information,
especially in cases of scientific collaboration and mobility. The
proposed method is evaluated using the dataset from the Thomson Reuters
Scientific "Web of Science". The probability of recall and precision of
the algorithm are then analyzed. To understand the effect of the name
ambiguation on the h-index and g-index before and after the name
disambiguation, calculations of their distribution are also presented.
Evaluation experiments show that using only the affiliation information
in the name disambiguation achieves better performance than that using
only the coauthorship information; however, our proposed method that
integrates both the coauthorship and affiliation information can control
the bias in the name ambiguation to a higher extent.

Addresses:
[Wu, Jiang] Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China.
[Ding, Xiu-Hao] Huazhong Univ Sci & Technol, Sch Management, Wuhan 430074, Peoples R China.

E-mail Addresses:
jiangwu.john at gmail.com; dingxiuhao at gmail.com

Funding Acknowledgement:
ISTIC-THOMSON Joint Scientometrics Lab Fund [IT2012004]; China National Natural Science Fund [71101059]

Funding Text:
This work was supported in part by the ISTIC-THOMSON Joint Scientometrics Lab Fund (Grant No. IT2012004) and in part by the China National Natural Science Fund (Grant No. 71101059).

Cited Reference Count:
21

Times Cited:
0

Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS

ISSN:
0138-9130

Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
205IL

Unique ID:
WOS:000323437400003

Cited References:
Onodera Natsuo, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P677
Badar Kamal, 2013, SCIENTOMETRICS, V94, P755
Wooding S, 2006, SCIENTOMETRICS8th International Conference on Science and Technology Indicators, SEP 23-25, 2004, Leiden, NETHERLANDS, V66, P11
Guns Raf, 2011, SCIENTOMETRICS, V87, P133
Smalheiser N. R, 2009, V43, P1
Newman MEJ, 2001, PHYSICAL REVIEW E, V64,
Tang Li, 2010, SCIENTOMETRICS, V84, P763
Radicchi Filippo, 2009, PHYSICAL REVIEW E, V80,
Chung Chung Joo, 2012, SCIENTOMETRICSJoint Meeting of the 7th International Conference on Webometrics, Informetrics and Scientometrics / 12th COLLNET Meeting, SEP 20-23, 2011, Istanbul, TURKEY, V93, P207
Egghe Leo, 2006, SCIENTOMETRICS, V69, P131
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
Petersen Alexander M., 2011, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V108, P18
Kang In-Su, 2009, INFORMATION PROCESSING & MANAGEMENT, V45, P84
Iglesias Juan E., 2007, SCIENTOMETRICS, V73, P303
Huang Jian, 2006, KNOWLEDGE DISCOVERY IN DATABASES: PKDD 2006, PROCEEDINGS10th European Conference on Principle and Practice of Knowledge Discovery in Databases, SEP 18-22, 2006, Berlin, GERMANY, V4213, P536
Gurney Thomas, 2012, SCIENTOMETRICS13th International Conference on Scientometrics and Informetrics, JUL 04-07, 2011, Durban, SOUTH AFRICA, V91, P435
Petersen Alexander M., 2010, PHYSICAL REVIEW E, V81,
Soler Jose M., 2007, SCIENTOMETRICS, V72, P281
Newman MEJ, 2004, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICAColloquium on Mapping Knowledge Domains, MAY 09-11, 2003, Irvine, CA, V101, P5200
Laherrere J, 1998, EUROPEAN PHYSICAL JOURNAL B, V2, P525
Zhao Dangzhi, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P654

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Title:
Knowledge popularity in a heterogeneous network: Exploiting the contextual effects of document popularity in knowledge management systems

Authors:
Sha, XQ; Chang, KTT; Zhang, C; Zhang, CH

Author Full Names:
Sha, Xiqing; Chang, Klarissa Ting-Ting; Zhang, Cheng; Zhang, Chenghong

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (9):1842-1851; 10.1002/asi.22879 SEP 2013

Language:
English

Document Type:
Article

Author Keywords:
knowledge, contextual information, knowledge organization systems

KeyWords Plus:
SCIENTIFIC LITERATURE; DIGITAL LIBRARIES; SOCIAL NETWORKS; CENTRALITY; BETWEENNESS; COMMUNITY; PATTERNS

Abstract:
In organizations, the amount of attention that user-generated knowledge
receives in knowledge management systems (KMSs) may not imply its
potential for benefiting organizational activities in terms of
accelerating innovation and product development. To optimize the
utilization of knowledge in organizations, it is crucial to identify
factors that influence knowledge popularity. From a network perspective,
this study proposes a model to evaluate knowledge popularity by
investigating 2 attributes of contextual information (i.e., authors and
tags) that are embedded in a heterogeneous knowledge network, and how
they interact to impact knowledge popularity. Objective data obtained
through the interaction history of a KMS in a global telecommunication
company was applied to test the hypotheses. This paper contributes to
the extant literature on knowledge popularity by identifying contextual
attributions of knowledge, and empirically tests the impact of their
interactions on knowledge popularity.

Addresses:
[Sha, Xiqing; Chang, Klarissa Ting-Ting] Natl Univ Singapore, Sch Comp, Dept Informat Syst, Singapore 117417, Singapore.
[Zhang, Cheng; Zhang, Chenghong] Fudan Univ, Dept Informat Management & Informat Syst, Shanghai 200433, Peoples R China.

E-mail Addresses:
xiqing at nus.edu.sg; changtt at nus.edu.sg; zhangche at fudan.edu.cn; chzhang at fudan.edu.cn

Funding Acknowledgement:
National Natural Science Foundation of China [70871027, 70801017]; Shanghai Municipal Education Commission [12ZS012]; Shanghai Philosophy and Social Science Fund [2012BGL009]

Funding Text:
This work is supported by the National Natural Science Foundation of China (70871027, 70801017), Innovation Program of Shanghai Municipal Education Commission (12ZS012), and Shanghai Philosophy and Social Science Fund (2012BGL009). The authors would also like to thank the editor and reviewers for their valuable comments and suggestions.

Cited Reference Count:
42

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
197SG

Unique ID:
WOS:000322870300008

Cited References:
Sidiropoulos A, 2005, INFORMATION PROCESSING & MANAGEMENT, V41, P289
Diekhoff G. M., 1982, Educational Technology, V22, P28
Guan Z. Y., 2010, Proceedings of the 19th International Conference on World Wide Web (WWW 2010), P391
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Liu XM, 2005, INFORMATION PROCESSING & MANAGEMENT, V41, P1462
Zhang Cheng, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P643
Espinosa J. Alberto, 2007, ORGANIZATION SCIENCE, V18, P613
Hsieh J. L., 2008, Conference of Computer Human Interaction (CHI 2008), Florence, Italy,
Neter J., 1983,
Tatham R. L., 1998, Multivariate Data Analysis,
NONAKA I, 1994, ORGANIZATION SCIENCE, V5, P14
LI X., 2008, Proceedings of the 17th International Conference on World Wide Web, P675
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Steels L., 2008, Conference of AAAI Symposium on Social Information Processing, California, USA,
Bian J., 2009, 18th International Conference on World Wide Web, Madrid, Spain,
SHARMA S, 1981, JOURNAL OF MARKETING RESEARCH, V18, P291
Vidgen Richard, 2007, EUROPEAN JOURNAL OF INFORMATION SYSTEMS, V16, P5
Lin I., 2010, IEEE International Conference on Industrial Engineering and Engineering Management, Macao, China,
Yan Erjia, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P2107
Abbasi Alireza, 2012, JOURNAL OF INFORMETRICS, V6, P403
Chen CM, 2006, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V57, P359
Wu Chao, 2009, GROUP 2009 PROCEEDINGSInternational ACM Conference on Supporting Group Work, MAY 10-13, 2009, Sanibel Isl, FL, P21
SMALL H, 1973, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V24, P265
Ding Ying, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P236
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Title:
Year-based h-type indicators

Authors:
Mahbuba, D; Rousseau, R

Author Full Names:
Mahbuba, Dilruba; Rousseau, Ronald

Source:
SCIENTOMETRICS, 96 (3):785-797; 10.1007/s11192-012-0934-z SEP 2013

Language:
English

Document Type:
Article

Author Keywords:
h-type indices, h-index, Diffusion, Scientometrics, Performance evaluation, Career year: author, Career year: journal, Bangladesh

KeyWords Plus:
DIFFUSION FACTORS; CITATION ANALYSIS; INDEX; JOURNALS

Abstract:
We propose new variations of the standard and the real-valued (or
interpolated) h-index. More precisely, we propose two different types.
For the first type, sources are years, and items are either
publications, or citations received or citations per publication. The
second type makes use of the speed by which citations are received: it
is a diffusion speed index.

Addresses:
[Mahbuba, Dilruba] NUB, Lib & Informat Dept, Dhaka 1213, Bangladesh.
[Mahbuba, Dilruba; Rousseau, Ronald] Univ Antwerp, IBW, B-2000 Antwerp, Belgium.
[Rousseau, Ronald] KHBO Assoc KU Leuven, Fac Engn Technol, B-8400 Oostende, Belgium.
[Rousseau, Ronald] Katholieke Univ Leuven, Dept Math, B-3000 Heverlee, Belgium.

E-mail Addresses:
mahbubadilruba at gmail.com; ronald.rousseau at ua.ac.be

Cited Reference Count:
30

Times Cited:
0

Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS

ISSN:
0138-9130

Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
205IL

Unique ID:
WOS:000323437400009

Cited References:
Rousseau R., 2012, Journal of Scientometric Research, V1, P22
Guns Raf, 2009, JOURNAL OF INFORMETRICS, V3, P64
Rousseau R., 2006, E-LIS: ID 6153,
Egghe L., 2006, ISSI Newsletter, V2, P8
Alonso S., 2009, JOURNAL OF INFORMETRICS, V3, P273
Liang Liming, 2009, PROCEEDINGS OF ISSI 2009 - 12TH INTERNATIONAL CONFERENCE OF THE INTERNATIONAL SOCIETY FOR SCIENTOMETRICS AND INFORMETRICS, VOL 112th International Conference of the International-Society-for-Scientometrics-and-Informetrics, JUL 14-17, 2009, Rio de Janeiro, BRAZIL, V1, P143
Rowlands I, 2002, ASLIB PROCEEDINGS, V54, P77
Bouyssou D., 2010, JOURNAL OF INFORMETRICS, V4, P365
Waltman Ludo, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P406
Egghe Leo, 2010, ANNUAL REVIEW OF INFORMATION SCIENCE AND TECHNOLOGY, V44, P65
Mahbuba D., 2012, Proceedings of STI 2012 Montreal, P877
Rousseau R., 2008, COLLNET Journal of Scientometrics and Information Management, V2, P1
Burrell Quentin L., 2007, JOURNAL OF INFORMETRICS, V1, P170
Bouyssou Denis, 2011, JOURNAL OF INFORMETRICS, V5, P75
Liu Y. X., 2011,
Egghe L., 2011, JOURNAL OF INFORMETRICS, V5, P181
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
Rousseau Ronald, 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P2305
Rousseau R., 2008, Cybermetrics, V12,
Liu Yuxian, 2008, JOURNAL OF INFORMETRICS, V2, P202
Marchant Thierry, 2009, SCIENTOMETRICS, V80, P325
Braun Tibor, 2006, SCIENTOMETRICS, V69, P169
Egghe Leo, 2006, SCIENTOMETRICS, V69, P131
Jin BiHui, 2007, CHINESE SCIENCE BULLETIN, V52, P855
Braun T, 2005, SCIENTIST, V19, P8
Jin B. H., 2007, ISSI Newsletter, V3, P6
Frandsen TF, 2006, JOURNAL OF DOCUMENTATION, V62, P58
Mahbuba D., 2012, An informetric analysis of the scientific production of Bangladesh,
Bouyssou Denis, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P1761
Rousseau R., 2010, ISSI Newsletter, V6, P62

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*Record 21 of 57.
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Title:
On the Use and Abuse of Economics Journal Rankings

Authors:
Laband, DN

Author Full Names:
Laband, David N.

Source:
ECONOMIC JOURNAL, 123 (570):F223-F254; 10.1111/ecoj.12067 AUG 2013

Language:
English

Document Type:
Article

KeyWords Plus:
RELATIVE IMPACTS; CORE JOURNALS; METRICS

Abstract:
There are several aspects of journal-level citations that, taken
together, provide considerably more information than mean citations per
article. This information is likely to be more useful, in terms of
helping someone form more accurate expectations of the quality of a
given article published in a journal, than the information provided by
mean citations per article only. I provide data that both illustrate
this point and offer a range of information about the citations to
papers published in 248 economics journals during the period 2001-5.

Addresses:
[Laband, David N.] Georgia Inst Technol, Atlanta, GA 30332 USA.

E-mail Addresses:
david.laband at econ.gatech.edu

Cited Reference Count:
16

Times Cited:
1

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
0013-0133

Web of Science Categories:
Economics

Research Areas:
Business & Economics

IDS Number:
209CL

Unique ID:
WOS:000323731600003

Cited References:
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
Laband D. N, 1986, Public Choice, V46, P316
STIGLER GJ, 1995, JOURNAL OF POLITICAL ECONOMY, V103, P331
LABAND DN, 1994, JOURNAL OF ECONOMIC LITERATURE, V32, P640
Sgroi Daniel, 2013, ECONOMIC JOURNAL, V123, PF255
BURTON MP, 1995, ECONOMIC JOURNAL, V105, P361
Lane Julia, 2010, NATURE, V464, P488
Frey B. S, 2011,
Diamond A. M, 1989, Current Contents, V21, P2
Clerides Sofronis, 2011, ECONOMICA, V78, P565
Taylor Jim, 2011, BRITISH JOURNAL OF MANAGEMENT, V22, P202
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Liner GH, 2002, ECONOMIC INQUIRY, V40, P138
Laband DN, 2003, KYKLOS, V56, P161
Greene W., 2003, Econometric analysis,
LABAND DN, 1986, ECONOMIC INQUIRY, V24, P173

========================================================================

*Record 22 of 57.
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Title:
Ranking Journals

Authors:
Hudson, J

Author Full Names:
Hudson, John

Source:
ECONOMIC JOURNAL, 123 (570):F202-F222; 10.1111/ecoj.12064 AUG 2013

Language:
English

Document Type:
Article

KeyWords Plus:
ECONOMICS JOURNALS; RELATIVE IMPACTS; STANDS TODAY

Abstract:
We analyse the Keele list of economics journals, two lists produced in
Australia and the Association of Business School (ABS) list. Econometric
analysis suggests that all the rankings respond to combinations of
bibliometrics, such as ISI's Article Influence and reward older
journals. Lists produced by economists tend to reward theoretical
journals and a focus on economics, whilst the ABS ranking tends to
penalise an economics focus. On the basis of the regressions, we produce
predicted rankings, distinguishing between journals which can be
assigned to a specific category, for example 4*, and others which could
lie in one of two categories.

Addresses:
[Hudson, John] Univ Bath, Bath BA2 7AY, Avon, England.

E-mail Addresses:
j.r.hudson at bath.ac.uk

Cited Reference Count:
27

Times Cited:
1

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
0013-0133

Web of Science Categories:
Economics

Research Areas:
Business & Economics

IDS Number:
209CL

Unique ID:
WOS:000323731600002

Cited References:
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LABAND DN, 1994, JOURNAL OF ECONOMIC LITERATURE, V32, P640
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Title:
The development of computer science research in the People's Republic of China 2000-2009: a bibliometric study

Authors:
Xie, ZL; Willett, P

Author Full Names:
Xie, Zhilong; Willett, Peter

Source:
INFORMATION DEVELOPMENT, 29 (3):251-264; 10.1177/0266666912458515 AUG 2013

Language:
English

Document Type:
Article

Author Keywords:
bibliometrics, citation analysis, computer science research, research impact, research productivity, People's Republic of China

KeyWords Plus:
JOURNAL IMPACT FACTOR; GOOGLE-SCHOLAR; RESEARCH PERFORMANCE; ENHANCED DATABASES; CITATION ANALYSIS; H-INDEX; SCOPUS; WEB; PUBLICATIONS; HISTORY

Abstract:
This paper reports a bibliometric study of the development of computer
science research in the People's Republic of China in the 21st century,
using data from the Web of Science, Journal Citation Reports and CORE
databases. Focusing on the areas of data mining, operating systems and
web design, it is shown that whilst the productivity of Chinese research
has risen dramatically over the period under review, its impact is still
low when compared with established scientific nations such as the USA,
the UK and Japan. The publication and citation data for China are
compared with corresponding data for the other three BRIC nations
(Brazil, Russian and India). It is shown that China dominates the BRIC
nations in terms of both publications and citations, but that Indian
publications often have a greater individual impact.

Addresses:
[Xie, Zhilong] Southwestern Univ Finance & Econ, Sch Econ Informat Engn, Chengdu 610074, Peoples R China.
[Willett, Peter] Univ Sheffield, Informat Sch, Sheffield S1 4DP, S Yorkshire, England.

E-mail Addresses:
zhilongxie at gmail.com; p.willett at sheffield.ac.uk

Cited Reference Count:
56

Times Cited:
0

Publisher:
SAGE PUBLICATIONS LTD, 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND

ISSN:
0266-6669

Web of Science Categories:
Information Science & Library Science

Research Areas:
Information Science & Library Science

IDS Number:
189BY

Unique ID:
WOS:000322243200007

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Title:
On the use of the h-index in evaluating chemical research

Authors:
Ciriminna, R; Pagliaro, M

Author Full Names:
Ciriminna, Rosaria; Pagliaro, Mario

Source:
CHEMISTRY CENTRAL JOURNAL, 7 10.1186/1752-153X-7-132 JUL 30 2013

Language:
English

Document Type:
Article

Author Keywords:
Bibliometrics, Impact factor, H index, Chemical research, H index chemists

KeyWords Plus:
IMPACT FACTOR; SCIENCE; OUTPUT

Abstract:
Background: The h index bibliometric indicator for evaluating scientists
and scientific institutions plays an increasingly important role in
evaluating contemporary scientific research, including chemistry.
Results: Citations are meaningful. The best way of measuring performance
is to use the informed peer review, where peers judge on the base of a
bibliometric report, once the limits and advantages of bibliometric
indicators have been thoroughly understood.
Conclusions: Expanded and improved use of bibliometric indicators such
as the h index in a useful and wise manner is suggested.

Addresses:
[Ciriminna, Rosaria; Pagliaro, Mario] CNR, Ist Studio Mat Nanostrutturati, I-90146 Palermo, Italy.

E-mail Addresses:
mario.pagliaro at cnr.it

Cited Reference Count:
27

Times Cited:
0

Publisher:
BIOMED CENTRAL LTD, 236 GRAYS INN RD, FLOOR 6, LONDON WC1X 8HL, ENGLAND

ISSN:
1752-153X

Article Number:
132

Web of Science Categories:
Chemistry, Multidisciplinary

Research Areas:
Chemistry

IDS Number:
196MX

Unique ID:
WOS:000322780800001

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Title:
The Role of Gender in Scholarly Authorship

Authors:
West, JD; Jacquet, J; King, MM; Correll, SJ; Bergstrom, CT

Author Full Names:
West, Jevin D.; Jacquet, Jennifer; King, Molly M.; Correll, Shelley J.;
Bergstrom, Carl T.

Source:
PLOS ONE, 8 (7):10.1371/journal.pone.0066212 JUL 22 2013

Language:
English

Document Type:
Article

KeyWords Plus:
WOMEN; SCIENCE; PATTERNS; GAP

Abstract:
Gender disparities appear to be decreasing in academia according to a
number of metrics, such as grant funding, hiring, acceptance at
scholarly journals, and productivity, and it might be tempting to think
that gender inequity will soon be a problem of the past. However, a
large-scale analysis based on over eight million papers across the
natural sciences, social sciences, and humanities reveals a number of
understated and persistent ways in which gender inequities remain. For
instance, even where raw publication counts seem to be equal between
genders, close inspection reveals that, in certain fields, men
predominate in the prestigious first and last author positions.
Moreover, women are significantly underrepresented as authors of
single-authored papers. Academics should be aware of the subtle ways
that gender disparities can occur in scholarly authorship.

Addresses:
[West, Jevin D.; Bergstrom, Carl T.] Univ Washington, Dept Biol, Seattle, WA 98195 USA.
[Jacquet, Jennifer] NYU, New York, NY USA.
[King, Molly M.; Correll, Shelley J.] Stanford Univ, Dept Sociol, Stanford, CA 94305 USA.
[Bergstrom, Carl T.] Santa Fe Inst, Santa Fe, NM 87501 USA.

E-mail Addresses:
jevinw at u.washington.edu

Funding Acknowledgement:
NSF [SBE-0915005]; NSF Graduate Research Fellowship [DGE-1147470]

Funding Text:
This work was supported in part by NSF grant SBE-0915005 to CTB, NSF Graduate Research Fellowship grant DGE-1147470 to MMK, and a generous gift from JSTOR. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Cited Reference Count:
33

Times Cited:
0

Publisher:
PUBLIC LIBRARY SCIENCE, 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA

ISSN:
1932-6203

Article Number:
e66212

Web of Science Categories:
Multidisciplinary Sciences

Research Areas:
Science & Technology - Other Topics

IDS Number:
187PW

Unique ID:
WOS:000322132100004

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Title:
Coauthorship and citation patterns in the Physical Review

Authors:
Martin, T; Ball, B; Karrer, B; Newman, MEJ

Author Full Names:
Martin, Travis; Ball, Brian; Karrer, Brian; Newman, M. E. J.

Source:
PHYSICAL REVIEW E, 88 (1):10.1103/PhysRevE.88.012814 JUL 22 2013

Language:
English

Document Type:
Review

KeyWords Plus:
NETWORKS; STATISTICS; ADVANTAGE

Abstract:
A large number of published studies have examined the properties of
either networks of citation among scientific papers or networks of
coauthorship among scientists. Here we study an extensive data set
covering more than a century of physics papers published in the Physical
Review, which allows us to construct both citation and coauthorship
networks for the same set of papers. We analyze these networks to gain
insight into temporal changes in citation and collaboration over the
long time period of the data, as well as correlations and interactions
between the two. Among other things, we investigate the change over time
in the number of publishing authors, the number of papers they publish,
and the number of others with whom they collaborate, changes in the
typical number of citations made and received, the extent to which
individuals tend to cite themselves or their collaborators more than
others, the extent to which they cite themselves or their collaborators
more quickly after publication, and the extent to which they tend to
return the favor of a citation from another scientist.

Addresses:
[Martin, Travis] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA.
[Ball, Brian; Karrer, Brian; Newman, M. E. J.] Univ Michigan, Dept Phys, Ann Arbor, MI 48109 USA.
[Newman, M. E. J.] Univ Michigan, Ctr Study Complex Syst, Ann Arbor, MI 48109 USA.

E-mail Addresses:
travisbm at umich.edu

Funding Acknowledgement:
National Science Foundation [DMS-1107796]; NSF IGERT Fellowship

Funding Text:
This work was funded in part by the National Science Foundation under Grant No. DMS-1107796 (B.B. and M.E.J.N.) and an NSF IGERT Fellowship (T.M.).

Cited Reference Count:
38

Times Cited:
0

Publisher:
AMER PHYSICAL SOC, ONE PHYSICS ELLIPSE, COLLEGE PK, MD 20740-3844 USA

ISSN:
1539-3755

Article Number:
012814

Web of Science Categories:
Physics, Fluids & Plasmas; Physics, Mathematical

Research Areas:
Physics

IDS Number:
187JW

Unique ID:
WOS:000322115100007

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Title:
Scientific communities as autopoietic systems: The reproductive function of citations

Authors:
Riviera, E

Author Full Names:
Riviera, Emanuela

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (7):1442-1453; 10.1002/asi.22826 JUL 2013

Language:
English

Document Type:
Article

Author Keywords:
scientometrics, sociology, citation analysis

KeyWords Plus:
SCIENCE; COMMUNICATION; ORGANIZATION; COCITATION; INNOVATION; DISCOVERY; DOCUMENTS; SOCIOLOGY; CHAPTER

Abstract:
The increasing employment of bibliometric measures for assessing,
describing, and mapping science inevitably leads to the increasing need
for a citation theory constituting a theoretical frame for both citation
analysis and the description of citers' behavior. In this article a
theoretical model, encompassing both normative and constructivist
approaches, is suggested. The conceptualization of scientific
communities as autopoietic systems, the components of which are
communicative events, allows us to observe the reproductive function of
citations conceived as codes and media of scientific communication.
Citations, thanks to their constraining and enabling properties,
constitute the engine of the structuration process ensuring the
reproduction of scientific communities. By referring to Giddens'
structuration theory, Luhmann's theory about social systems as
communicative networks, Merton's "sociology of science" and his
conceptualizations about the functions of citations, as well as Small's
proposal about citations as concept-symbols, a sociologically integrated
approach to scientometrics is proposed.

Addresses:
[Riviera, Emanuela] Univ Milano Bicocca, Dept Sociol, I-20126 Milan, Italy.
[Riviera, Emanuela] Umea Univ, Inforsk, Dept Sociol, SE-90187 Umea, Sweden.

E-mail Addresses:
e.riviera at campus.unimib.it

Cited Reference Count:
78

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
204SL

Unique ID:
WOS:000323389100012

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Title:
Improving a decomposition of the h-index

Authors:
Bertoli-Barsotti, L

Author Full Names:
Bertoli-Barsotti, Lucio

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (7):1522-1522; 10.1002/asi.22893 JUL 2013

Language:
English

Document Type:
Letter

Author Keywords:
statistics, h-index, citation analysis, modification, statistical methods

Addresses:
Univ Bergamo, Dept Management Econ & Quantitat Methods, I-24127 Bergamo, Italy.

E-mail Addresses:
lucio.bertoli-barsotti at unibg.it

Cited Reference Count:
2

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
204SL

Unique ID:
WOS:000323389100020

Cited References:
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
BARTOLUCCI F, 2012, LETT EDITOR J AM SOC, V63, P2126

========================================================================

*Record 32 of 57.
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Title:
Citation Content Analysis (CCA): A Framework for Syntactic and Semantic Analysis of Citation Content

Authors:
Zhang, G; Ding, Y; Milojevic, S

Author Full Names:
Zhang, Guo; Ding, Ying; Milojevic, Stasa

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (7):1490-1503; 10.1002/asi.22850 JUL 2013

Language:
English

Document Type:
Article

Author Keywords:
citation analysis, content analysis, scholarly communication

KeyWords Plus:
INFORMATION-SCIENCE; SCIENTIFIC LITERATURE; DISCOURSE ANALYSIS; WORD ANALYSIS; CLASSIFICATION; COCITATION; PATTERNS; JOURNALS; ARTICLES; INDEXES

Abstract:
This study proposes a new framework for citation content analysis (CCA),
for syntactic and semantic analysis of citation content that can be used
to better analyze the rich sociocultural context of research behavior.
This framework could be considered the next generation of citation
analysis. The authors briefly review the history and features of content
analysis in traditional social sciences and its previous application in
library and information science (LIS). Based on critical discussion of
the theoretical necessity of a new method as well as the limits of
citation analysis, the nature and purposes of CCA are discussed, and
potential procedures to conduct CCA, including principles to identify
the reference scope, a two-dimensional (citing and cited) and two-module
(syntactic and semantic) codebook, are provided and described. Future
work and implications are also suggested.

Addresses:
[Zhang, Guo; Ding, Ying; Milojevic, Stasa] Indiana Univ, Sch Lib & Informat Sci, Bloomington, IN 47405 USA.

E-mail Addresses:
guozhang at indiana.edu; dingying at indiana.edu; smilojev at indiana.edu

Funding Acknowledgement:
international funding initiative Digging into Data; National Science Foundation in the United States [1208804]; JISC in the United Kingdom; Social Sciences and Humanities Research Council of Canada

Funding Text:
This manuscript is based on work supported by the international funding initiative Digging into Data. Specifically, funding comes from the National Science Foundation in the United States (grant no. 1208804), JISC in the United Kingdom, and the Social Sciences and Humanities Research Council of Canada. The authors would like to thank the other members of this grant for their comments on earlier presentations of the work.

Cited Reference Count:
89

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
204SL

Unique ID:
WOS:000323389100016

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Title:
Power-law link strength distribution in paper cocitation networks

Authors:
Zhao, SX; Ye, FY

Author Full Names:
Zhao, Star X.; Ye, Fred Y.

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (7):1480-1489; 10.1002/asi.22846 JUL 2013

Language:
English

Document Type:
Article

Author Keywords:
information flow, international aspects, sociocultural aspects, information policy, technology impact

KeyWords Plus:
SCALE-FREE NETWORKS; INFORMATION-SCIENCE; CITATION NETWORKS; KEYWORD NETWORKS; COMPLEX NETWORKS; KNOWLEDGE; RELEVANCE; PAGERANK; MAPS; WEB

Abstract:
A network is constructed by nodes and links, thus the node degree and
the link strength appear as underlying quantities in network analysis.
While the power-law distribution of node degrees is verified as a basic
feature of numerous real networks, we investigate whether the link
strengths follow the power-law distribution in weighted networks. After
testing 12 different paper cocitation networks with 2 methods, fitting
in double-log scales and the Kolmogorov-Smirnov test (K-S test), we
observe that, in most cases, the link strengths also follow the
approximate power-law distribution. The results suggest that the
power-law type distribution could emerge not only in nodes and
informational entities, but also in links and informational connections.

Addresses:
[Zhao, Star X.] Zhejiang Univ, Dept Informat Resource Management, Hangzhou 310027, Peoples R China.
[Ye, Fred Y.] Nanjing Univ, Sch Informat Management, Nanjing 210093, Jiangsu, Peoples R China.

E-mail Addresses:
starzhao at zju.edu.cn; yye at nju.edu.cn

Funding Acknowledgement:
National Natural Science Foundation of China (NSFC) [7101017006, 71173187]; Zhejiang Innovation Program for Graduates

Funding Text:
The authors gratefully acknowledge financial support from National Natural Science Foundation of China (NSFC) Grants (No. 7101017006 and 71173187) and Zhejiang Innovation Program for Graduates, and thank Ms. Fei Xue and anonymous reviewers for their helpful comments.

Cited Reference Count:
67

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
204SL

Unique ID:
WOS:000323389100015

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Title:
Formulae for the h-Index: A Lack of Robustness in Lotkaian Informetrics?

Authors:
Burrell, QL

Author Full Names:
Burrell, Quentin L.

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (7):1504-1514; 10.1002/asi.22845 JUL 2013

Language:
English

Document Type:
Article

Author Keywords:
informetrics

KeyWords Plus:
HIRSCH-INDEX; UNCITEDNESS; THOUGHTS; MODEL

Abstract:
In one of the first attempts at providing a mathematical framework for
the Hirsch index, Egghe and Rousseau (2006) assumed the standard Lotka
model for an author's citation distribution to derive a delightfully
simple closed formula for his/her h-index. More recently, the same
authors (Egghe & Rousseau, 2012b) have presented a new (implicit)
formula based on the so-called shifted Lotka function to allow for the
objection that the original model makes no allowance for papers
receiving zero citations. Here it is shown, through a small empirical
study, that the formulae actually give very similar results whether or
not the uncited papers are included. However, and more important, it is
found that they both seriously underestimate the true h-index, and we
suggest that the reason for this is that this is a contextthe citation
distribution of an author-in which straightforward Lotkaian informetrics
is inappropriate. Indeed, the analysis suggests that even if we restrict
attention to the upper tail of the citation distribution, a simple
Lotka/Pareto-like model can give misleading results.

Addresses:
[Burrell, Quentin L.] Univ Ctr, Isle Man Int Business Sch, Douglas IM2 1QB, Man, England.
[Burrell, Quentin L.] Katholieke Univ Leuven, Dept Managerial Econ Strategy & Innovat MSI, B-3000 Louvain, Belgium.

E-mail Addresses:
quentinburrell at manx.net

Cited Reference Count:
20

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
204SL

Unique ID:
WOS:000323389100017

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Title:
Inconsistencies in the highly cited publications indicator

Authors:
Schreiber, M

Author Full Names:
Schreiber, Michael

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (6):1298-1302; 10.1002/asi.22824 JUN 2013

Language:
English

Document Type:
Article

Author Keywords:
bibliometrics

Abstract:
One way of evaluating individual scientists is the determination of the
number of highly cited publications, where the threshold is given by a
large reference set. It is shown that this indicator behaves in a
counterintuitive way, leading to inconsistencies in the ranking of
different scientists.

Addresses:
Tech Univ Chemnitz, Inst Phys, D-09107 Chemnitz, Germany.

E-mail Addresses:
schreiber at physik.tu-chemnitz.de

Cited Reference Count:
7

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
204OR

Unique ID:
WOS:000323377600015

Cited References:
Bouyssou Denis, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P1761
Ravallion Martin, 2011, SCIENTOMETRICS, V88, P321
Waltman L., 2009, ISSI Newsletter, V5, P46
Ye F. Y., 2012, ISSI Newsletter, V8, P22
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
Marchant Thierry, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P1132
Waltman Ludo, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P406

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Title:
Assessing the accuracy of the h- and g-indexes for measuring researchers' productivity

Authors:
Abramo, G; D'Angelo, CA; Viel, F

Author Full Names:
Abramo, Giovanni; D'Angelo, Ciriaco Andrea; Viel, Fulvio

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (6):1224-1234; 10.1002/asi.22828 JUN 2013

Language:
English

Document Type:
Article

Author Keywords:
bibliometrics

KeyWords Plus:
BIBLIOMETRIC INDICATORS; RESEARCH PERFORMANCE; INDIVIDUAL-LEVEL; DISTRIBUTIONS; SCIENTISTS; JOURNALS; SUCCESS; SCIENCE; IMPACT

Abstract:
Bibliometric indicators are increasingly used in support of decisions
about recruitment, career advancement, rewards, and selective funding
for scientists. Given the importance of the applications,
bibliometricians are obligated to carry out empirical testing of the
robustness of the indicators, in simulations of real contexts. In this
work, we compare the results of national-scale research assessments at
the individual level, based on the following three different indexes:
the h-index, the g-index, and fractional scientific strength (FSS), an
indicator previously proposed by the authors. For each index, we
construct and compare rankings lists of all Italian academic researchers
working in the hard sciences during the period 2001-2005. The analysis
quantifies the shifts in ranks that occur when researchers' productivity
rankings by simple indicators such as the h- or g-indexes are compared
with those by more accurate FSS.

Addresses:
[Abramo, Giovanni] Univ Roma Tor Vergata, Inst Syst Anal & Comp Sci, Natl Res Council Italy IASI CNR, Sch Engn, I-00133 Rome, Italy.
[Abramo, Giovanni; D'Angelo, Ciriaco Andrea; Viel, Fulvio] Univ Roma Tor Vergata, Lab Studies Res & Technol Transfer, Sch Engn, I-00133 Rome, Italy.

E-mail Addresses:
giovanni.abramo at uniroma2.it; dangelo at dii.uniroma2.it; fulvio.viel at uniroma2.it

Cited Reference Count:
40

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
204OR

Unique ID:
WOS:000323377600011

Cited References:
Hoenekopp Johannes, 2012, SCIENTOMETRICS, V90, P843
Abramo Giovanni, 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P1275
Waltman Ludo, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P406
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
Abramo Giovanni, 2009, RESEARCH POLICY, V38, P206
Kosmulski Marek, 2006, ISSI Newsletter, V2, P4
Egghe Leo, 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P1608
Hirsch J. E., 2007, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V104, P19193
Abramo Giovanni, 2007, CURRENT SCIENCE, V93, P762
Lundberg Jonas, 2007, JOURNAL OF INFORMETRICS, V1, P145
Bouyssou Denis, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P1761
Braun Tibor, 2006, SCIENTOMETRICS, V69, P169
van Raan Anthony F. J., 2010, JOURNAL OF INFORMETRICS, V4, P431
Abramo Giovanni, 2011, SCIENTOMETRICS, V86, P347
D'Angelo Ciriaco Andrea, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P257
Costas Rodrigo, 2008, SCIENTOMETRICS, V77, P267
Marchant T., 2009, Scientometrics, V80, P327
Hirsch J. E., 2010, SCIENTOMETRICS, V85, P741
Waltman Ludo, 2011, SCIENTOMETRICS, V87, P467
Guan Jiancheng, 2008, SCIENTOMETRICS, V75, P357
Rezek Issa, 2011, ACADEMIC RADIOLOGY, V18, P1337
Egghe L., 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P1276
Molinari Alain, 2008, SCIENTOMETRICS, V75, P339
Ye Fred Y., 2010, SCIENTOMETRICS, V84, P431
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Alonso S., 2010, SCIENTOMETRICS, V82, P391
Bornmann Lutz, 2007, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V58, P1381
Van Raan AFJ, 2006, SCIENTOMETRICS, V67, P491
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Ball Philip, 2007, NATURE, V448, P737
Kuan Chung-Huei, 2011, JOURNAL OF INFORMETRICS, V5, P303
Radicchi Filippo, 2008, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V105, P17268
Honekopp Johannes, 2008, RETROVIROLOGY, V5,
Egghe Leo, 2006, SCIENTOMETRICS, V69, P131
Vanclay Jerome K., 2008, JOURNAL OF INFORMETRICS, V2, P326
Bornmann Lutz, 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P830
Iglesias Juan E., 2007, SCIENTOMETRICS, V73, P303
Carbon C. C., 2011, PLoS ONE, V6,

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*Record 37 of 57.
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Title:
Impact, identity, targets and gaming

Authors:
Huntley, JS

Author Full Names:
Huntley, J. S.

Source:
SCOTTISH MEDICAL JOURNAL, 58 (2):61-63; 10.1177/0036933013488313 MAY 2013

Language:
English

Document Type:
Editorial Material

KeyWords Plus:
SCIENCE

Addresses:
Royal Hosp Sick Children, Glasgow G3 8SJ, Lanark, Scotland.

E-mail Addresses:
jimhuntley at doctors.org.uk

Cited Reference Count:
27

Times Cited:
0

Publisher:
ROYAL SOC MEDICINE PRESS LTD, 1 WIMPOLE STREET, LONDON W1G 0AE, ENGLAND

ISSN:
0036-9330

Web of Science Categories:
Medicine, General & Internal

Research Areas:
General & Internal Medicine

IDS Number:
190IG

Unique ID:
WOS:000322332100036

Cited References:
Strathern M, 1997, Eur Rev, V5, P305
Audit Scotland, 2013, Management of patients on NHS waiting lists,
Bevan G, 2005, What's measured is what matters: targets and gaming in the English Public Health Care System. The Public Services Programme - quality, performance and delivery, V501,
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Audit Commission United Kingdom, 2003, Waiting list accuracy,
Francis R, 2013,
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Garfield E, 2001, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V52, P1197
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*Record 38 of 57.
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Title:
Measuring the impact factor of individual researchers in biomedical disciplines

Authors:
Ramos-Brieva, J; Cordero-Villafafila, A

Author Full Names:
Ramos-Brieva, Jesus; Cordero-Villafafila, Amelia

Source:
ACTAS ESPANOLAS DE PSIQUIATRIA, 41 (3):175-184; MAY-JUN 2013

Language:
English

Document Type:
Article

Author Keywords:
Personal impact factor, Citation, Measure, Scientific production, Bibliometry

KeyWords Plus:
AUTHORSHIP; CITATION; ARTICLES; JOURNALS; ORDER; ASSOCIATION; LIMITATIONS; INDICATORS

Abstract:
The authors propose an algorithm for calculating the cumulative personal
impact factor of the publications of any researcher whose research
activity involves reporting findings in scientific journals or books in
the researcher's field of specialization. This algorithm takes into
account the number of times that each published article or book is
cited, self-citations, the position of the researcher's name in the
authorship list of each article or book chapter, and the density of this
cumulative impact in relation to the researcher's total production. In
addition, it takes into account the type of article or book assessed
(review or original research paper), and the length of time since the
researcher's last publication.
This algorithm could be useful for the evaluation of the investigational
quality of the subjects, in personnel selection processes in which the
candidate's research performance comparisons of the personal scientific
influence of various subjects and different research centers.

Addresses:
[Ramos-Brieva, Jesus] Univ Alcala de Henares, Hosp Univ Ramon & Cajal IRYCIS, Serv Psiquiatria, Madrid, Spain.
[Cordero-Villafafila, Amelia] Ctr Salud Mental Miraflores, Alcobendas, Madrid, Spain.

E-mail Addresses:
jramosb.hrc at salud.madrid.org

Cited Reference Count:
43

Times Cited:
0

Publisher:
JUAN JOSE LOPEZ-IBOR FOUNDATION, NO 2, MADRID, 28035, SPAIN

ISSN:
1139-9287

Web of Science Categories:
Neurosciences; Psychiatry

Research Areas:
Neurosciences & Neurology; Psychiatry

IDS Number:
193JK

Unique ID:
WOS:000322555900005

Cited References:
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========================================================================

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Title:
Author-level Eigenfactor metrics: Evaluating the influence of authors, institutions, and countries within the social science research network community

Authors:
West, JD; Jensen, MC; Dandrea, RJ; Gordon, GJ; Bergstrom, CT

Author Full Names:
West, Jevin D.; Jensen, Michael C.; Dandrea, Ralph J.; Gordon, Gregory
J.; Bergstrom, Carl T.

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (4):787-801; 10.1002/asi.22790 APR 2013

Language:
English

Document Type:
Article

Author Keywords:
bibliometrics

KeyWords Plus:
CITATION; IMPACT; JOURNALS; USAGE

Abstract:
In this article, we show how the Eigenfactor score, originally designed
for ranking scholarly journals, can be adapted to rank the scholarly
output of authors, institutions, and countries based on author-level
citation data. Using the methods described in this article, we provide
Eigenfactor rankings for 84,808 disambiguated authors of 240,804 papers
in the Social Science Research Network (SSRN)a preprint and postprint
archive devoted to the rapid dissemination of scholarly research in the
social sciences and humanities. As an additive metric, the Eigenfactor
scores are readily computed for collectives such as departments or
institutions as well. We show that a collective's Eigenfactor score can
be computed either by summing the Eigenfactor scores of its members or
by working directly with a collective-level cross-citation matrix. We
provide Eigenfactor rankings for institutions and countries in the SSRN
repository. With a network-wide comparison of Eigenfactor scores and
download tallies, we demonstrate that Eigenfactor scores provide
information that is both different from and complementary to that
provided by download counts. We see author-level ranking as one filter
for navigating the scholarly literature, and note that such rankings
generate incentives for more open scholarship, because authors are
rewarded for making their work available to the community as early as
possible and before formal publication.

Addresses:
[West, Jevin D.; Bergstrom, Carl T.] Univ Washington, Dept Biol, Seattle, WA 98195 USA.
[Jensen, Michael C.] Harvard Univ, Sch Business, Boston, MA 02163 USA.
[Jensen, Michael C.; Gordon, Gregory J.] Social Sci Res Network, Rochester, NY 14618 USA.
[Dandrea, Ralph J.] ITX Corp, Pittsford, NY 14534 USA.
[Bergstrom, Carl T.] Santa Fe Inst, Santa Fe, NM 87501 USA.

E-mail Addresses:
jevinw at u.washington.edu; mjensen at hbs.edu; rdandrea at itx.net; gregg_gordon at ssrn.com; cbergst at u.washington.edu

Funding Acknowledgement:
National Science Foundation [SBE-0915005]

Funding Text:
This work was supported in part by National Science Foundation Grant SBE-0915005 to C.T.B.

Cited Reference Count:
27

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
204RN

Unique ID:
WOS:000323386300009

Cited References:
Bollen Johan, 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P136
MacCluer CR, 2000, SIAM REVIEW, V42, P487
Gauffriau M, 2005, SCIENTOMETRICS, V64, P85
Gross P L, 1927, Science (New York, N.Y.), V66, P385
Bollen J, 2005, INFORMATION PROCESSING & MANAGEMENT, V41, P1419
Kurtz MJ, 2005, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V56, P111
Fairman C. M., 2006, Fuck,
GARFIELD E, 1972, SCIENCE, V178, P471
BONACICH P, 1972, JOURNAL OF MATHEMATICAL SOCIOLOGY, V2, P113
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Egghe L, 2000, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V51, P145
Kalaitzidakis Pantelis, 2003, Journal of the European Economic Association, V1, P1346
Bergstrom C., 2007, C&RL News, V68, P314
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
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Bergstrom C. T., 2010, Nature, V465, P871
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*Record 40 of 57.
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Title:
Note on a possible decomposition of the h-Index

Authors:
Egghe, L

Author Full Names:
Egghe, Leo

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (4):871-871; 10.1002/asi.22855 APR 2013

Language:
English

Document Type:
Letter

Author Keywords:
informetrics

Addresses:
Univ Hasselt, B-3590 Diepenbeek, Belgium.

E-mail Addresses:
leo.egghe at uhasselt.be

Cited Reference Count:
4

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
204RN

Unique ID:
WOS:000323386300016

Cited References:
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
Lorenz M. O., 1905, JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, V9, P209
Bartolucci Francesco, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2126
Egghe L, 2005, POWER LAWS IN THE INFORMATION PRODUCTION PROCESS: LOTKAIAN INFORMETRICS, P1

========================================================================

*Record 41 of 57.
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Title:
New patterns of scientific growth: How research expanded after the invention of scanning tunneling microscopy and the discovery of Buckminsterfullerenes

Authors:
Heinze, T; Heidler, R; Heiberger, RH; Riebling, J

Author Full Names:
Heinze, Thomas; Heidler, Richard; Heiberger, Raphael Heiko; Riebling,
Jan

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (4):829-843; 10.1002/asi.22760 APR 2013

Language:
English

Document Type:
Article

Author Keywords:
sociology, bibliometrics

KeyWords Plus:
SCIENCE; NANOTECHNOLOGY; DYNAMICS; JOURNALS; SYSTEM

Abstract:
This article describes patterns of scientific growth that emerge in
response to major research accomplishments in instrumentation and the
discovery of new matter. Using two Nobel Prize-winning contributions,
the scanning tunneling microscope (STM) and the discovery of
Buckminsterfullerenes (BUF), we examine the growth of follow-up research
via citation networks at the author and subdiscipline level. A
longitudinal network analysis suggests that structure, cohesiveness, and
interdisciplinarity vary considerably with the type of breakthrough and
over time. Scientific progress appears to be multifaceted, including not
only theoretical advances but also the discovery of new instrumentation
and new matter. In addition, we argue that scientific growth does not
necessarily lead to the formation of new specialties or new
subdisciplines. Rather, we observe the emergence of a research community
formed at the intersection of subdisciplinary boundaries.

Addresses:
[Heinze, Thomas; Heidler, Richard] Berg Univ Wuppertal, Lehrstuhl Organisationssoziol, D-42119 Wuppertal, Germany.
[Heiberger, Raphael Heiko; Riebling, Jan] Otto Friedrich Univ Bamberg, Lehrstuhl Soziol 2, D-96045 Bamberg, Germany.

E-mail Addresses:
theinze at uni-wuppertal.de; heidler at uni-wuppertal.de; raphael-heiko.heiberger at uni-bamberg.de; jan.riebling at uni-bamberg.de

Funding Acknowledgement:
Federal Ministry for Education and Research (BMBF) [01UZ1001]

Funding Text:
Supported by the Federal Ministry for Education and Research (BMBF) program "New Governance of Science" under award number 01UZ1001. The paper has benefited from discussions with Olof Hallonsten (University of Gothenburg), Richard Munch (University of Bamberg), and the participants of the Interdisziplinares Zentrum fur Wissenschafts- und Technikforschung (IZWT) colloquium (University of Wuppertal).

Cited Reference Count:
67

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
204RN

Unique ID:
WOS:000323386300012

Cited References:
Whitley R., 2000,
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Title:
How to analyze percentile citation impact data meaningfully in bibliometrics: The statistical analysis of distributions, percentile rank classes, and top-cited papers

Authors:
Bornmann, L

Author Full Names:
Bornmann, Lutz

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (3):587-595; 10.1002/asi.22792 MAR 2013

Language:
English

Document Type:
Article

Author Keywords:
bibliometrics

KeyWords Plus:
PREDICTIVE-VALIDITY; INDICATORS; EXCELLENCE; COUNTS; INDEX

Abstract:
According to current research in bibliometrics, percentiles (or
percentile rank classes) are the most suitable method for normalizing
the citation counts of individual publications in terms of the subject
area, the document type, and the publication year. Up to now,
bibliometric research has concerned itself primarily with the
calculation of percentiles. This study suggests how percentiles (and
percentile rank classes) can be analyzed meaningfully for an evaluation
study. Publication sets from four universities are compared with each
other to provide sample data. These suggestions take into account on the
one hand the distribution of percentiles over the publications in the
sets (universities here) and on the other hand concentrate on the range
of publications with the highest citation impactthat is, the range that
is usually of most interest in the evaluation of scientific performance.

Addresses:
Adm Headquarters Max Planck Soc, Div Sci & Innovat Studies, D-80539 Munich, Germany.

E-mail Addresses:
bornmann at gv.mpg.de

Cited Reference Count:
43

Times Cited:
1

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
204SI

Unique ID:
WOS:000323388800012

Cited References:
Cohen J., 1988, Statistical power analysis for the behavioral sciences,
Bornmann Lutz, 2012, JOURNAL OF INFORMETRICS, V6, P11
Bornmann Lutz, 2007, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V58, P1381
Waltman Ludo, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2419
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Title:
The differences between latent topics in abstracts and citation contexts of citing papers

Authors:
Liu, SB; Chen, CM

Author Full Names:
Liu, Shengbo; Chen, Chaomei

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (3):627-639; 10.1002/asi.22771 MAR 2013

Language:
English

Document Type:
Article

Author Keywords:
citation analysis

KeyWords Plus:
COMPUTER RECOGNITION; TEXT; BIBLIOMETRICS; STATEMENTS; RETRIEVAL; INFERENCE; SCIENCE; TOOL

Abstract:
Although it is commonly expected that the citation context of a
reference is likely to provide more detailed and direct information
about the nature of a citation, few studies in the literature have
specifically addressed the extent to which the information in different
parts of a scientific publication differs. Do abstracts tend to use
conceptually broader terms than sentences in a citation context in the
body of a publication? In this article, we propose a method to analyze
and compare latent topics in scientific publications, in particular,
from abstracts of papers that cited a target reference and from
sentences that cited the target reference. We conducted an experiment
and applied topical modeling techniques to full-text papers in eight
biomedicine journals. Topics derived from the two sources are compared
in terms of their similarities and broad-narrow relationships defined
based on information entropy. The results show that abstracts and
citation contexts are characterized by distinct sets of topics with
moderate overlaps. Furthermore, the results confirm that topics from
abstracts of citing papers have broader terms than topics from citation
contexts formed by citing sentences. The method and the findings could
be used to enhance and extend the current methodologies for research
evaluation and citation evaluation.

Addresses:
[Liu, Shengbo] Dalian Univ Technol, Wiselab, Dalian 116023, Peoples R China.
[Chen, Chaomei] Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA 19104 USA.

E-mail Addresses:
liushengbo1121 at gmail.com; chaomei.chen at drexel.edu

Funding Acknowledgement:
China Scholarship Commission

Funding Text:
The authors appreciate the constructive comments and suggestions from the anonymous reviewers. Shengbo Liu is currently a visiting doctoral student at the College of Information Science and Technology of Drexel University. His visit is supported by the China Scholarship Commission.

Cited Reference Count:
41

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
204SI

Unique ID:
WOS:000323388800015

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*Record 44 of 57.
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Title:
Placing articles in the large publisher nations: Is there a "free lunch" in terms of higher impact?

Authors:
Schubert, T; Michels, C

Author Full Names:
Schubert, Torben; Michels, Carolin

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (3):596-611; 10.1002/asi.22759 MAR 2013

Language:
English

Document Type:
Article

Author Keywords:
socioeconomic activities

KeyWords Plus:
CITATION COUNTS; SCIENCE; PUBLICATIONS; JOURNALS; QUALITY

Abstract:
This paper deals with the role of a journal's publisher country in
determining the expected citation rates of the articles published in it.
We analyze whether a paper has a higher citation rate when it is
published in one of the large publisher nations, the U.S., U.K., or the
Netherlands, compared to a hypothetical situation when the same paper is
published in journals of different origin. This would constitute a free
lunch, which could be explained by a Matthew effect visible on the
country-level, similar to the well-documented Matthew effect on the
author-level. We first use a simulation model that highlights increasing
citation returns to quality as the central key condition on which such a
Matthew effect may emerge. Then we use an international bibliometric
panel data set of forty-nine countries for the years 2000-2010 and show
that such a free lunch implied by this Matthew effect can be observed
for top journals from the U.S. and depending on the specification also
from the U.K. and the Netherlands, while there is no effect for
lower-ranked American journals and negative effects for lower-ranked
British journals as well as those coming from the Netherlands.

Addresses:
[Schubert, Torben; Michels, Carolin] Fraunhofer Inst Syst & Innovat Res ISI, D-76139 Karlsruhe, Germany.
[Schubert, Torben] Lund Univ, CIRCLE, S-22100 Lund, Sweden.

E-mail Addresses:
torben.schubert at isi.fraunhofer.de; carolin.michels at isi.fraunhofer.de

Funding Acknowledgement:
German Ministry of Education and Research (BMBF)

Funding Text:
The authors thank the editor of this journal, Blaise Cronin, as well as two anonymous reviewers whose valuable and constructive comments helped to significantly improve this paper. The usual disclaimer applies of course. We also acknowledge project support by the German Ministry of Education and Research (BMBF).

Cited Reference Count:
38

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
204SI

Unique ID:
WOS:000323388800013

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*Record 45 of 57.
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Title:
On ranking relevant entities in heterogeneous networks using a language-based model

Authors:
Soulier, L; Ben Jabeur, L; Tamine, L; Bahsoun, W

Author Full Names:
Soulier, Laure; Ben Jabeur, Lamjed; Tamine, Lynda; Bahsoun, Wahiba

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (3):500-515; 10.1002/asi.22762 MAR 2013

Language:
English

Document Type:
Article

Author Keywords:
information retrieval, information resources management, relevance ranking

KeyWords Plus:
RANDOM-WALK; RETRIEVAL; COMMUNITY; JOURNALS; SEARCH

Abstract:
A new challenge, accessing multiple relevant entities, arises from the
availability of linked heterogeneous data. In this article, we address
more specifically the problem of accessing relevant entities, such as
publications and authors within a bibliographic network, given an
information need. We propose a novel algorithm, called BibRank, that
estimates a joint relevance of documents and authors within a
bibliographic network. This model ranks each type of entity using a
score propagation algorithm with respect to the query topic and the
structure of the underlying bi-type information entity network. Evidence
sources, namely content-based and network-based scores, are both used to
estimate the topical similarity between connected entities. For this
purpose, authorship relationships are analyzed through a language
model-based score on the one hand and on the other hand, non topically
related entities of the same type are detected through marginal
citations. The article reports the results of experiments using the
Bibrank algorithm for an information retrieval task. The CiteSeerX
bibliographic data set forms the basis for the topical query automatic
generation and evaluation. We show that a statistically significant
improvement over closely related ranking models is achieved.

Addresses:
[Soulier, Laure; Ben Jabeur, Lamjed; Tamine, Lynda; Bahsoun, Wahiba] Univ Toulouse, IRIT, F-31062 Toulouse, France.

E-mail Addresses:
soulier at irit.fr; jabeur at irit.fr; tamine at irit.fr; wbahsoun at irit.fr

Cited Reference Count:
40

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
204SI

Unique ID:
WOS:000323388800007

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Title:
A visual analytic study of retracted articles in scientific literature

Authors:
Chen, CM; Hu, ZG; Milbank, J; Schultz, T

Author Full Names:
Chen, Chaomei; Hu, Zhigang; Milbank, Jared; Schultz, Timothy

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (2):234-253; 10.1002/asi.22755 FEB 2013

Language:
English

Document Type:
Article

Author Keywords:
content analysis, visualization (electronic), information filtering

KeyWords Plus:
COCITATION ANALYSIS; CITATION; MISCONDUCT; JOURNALS; SCIENCE; SEE

Abstract:
Retracting published scientific articles is increasingly common.
Retraction is a self-correction mechanism of the scientific community to
maintain and safeguard the integrity of scientific literature. However,
a retracted article may pose a profound and long-lasting threat to the
credibility of the literature. New articles may unknowingly build their
work on false claims made in retracted articles. Such dependencies on
retracted articles may become implicit and indirect. Consequently, it
becomes increasingly important to detect implicit and indirect threats.
In this article, our aim is to raise the awareness of the potential
threats of retracted articles even after their retraction and
demonstrate a visual analytic study of retracted articles with reference
to the rest of the literature and how their citations are influenced by
their retraction. The context of highly cited retracted articles is
visualized in terms of a co-citation network as well as the distribution
of articles that have high-order citation dependencies on retracted
articles. Survival analyses of time to retraction and postretraction
citation are included. Sentences that explicitly cite retracted articles
are extracted from full-text articles. Transitions of topics over time
are depicted in topic-flow visualizations. We recommend that new visual
analytic and science mapping tools should take retracted articles into
account and facilitate tasks specifically related to the detection and
monitoring of retracted articles.

Addresses:
[Chen, Chaomei; Schultz, Timothy] Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA 19085 USA.
[Hu, Zhigang] Dalian Univ Technol, WISELab, Dalian, Peoples R China.
[Milbank, Jared] Pfizer Worldwide Res & Dev, Groton Labs, Groton, CT 06340 USA.

E-mail Addresses:
chaomei.chen at drexel.edu; huzhigang.cn at gmail.com; Jared.Milbank at pfizer.com; tjs72 at drexel.edu

Funding Acknowledgement:
Pfizer; China Scholarship Council

Funding Text:
The work would not have been possible without the citation records of scientific publications from Thomson Reuters' Web of Science and full-text articles from Elsevier's Content Syndication (ConSyn). Chaomei Chen and Timothy Schultz acknowledge the support of a sponsored research project by Pfizer. Zhigang Hu is a visiting doctoral student at the College of Information Science and Technology, Drexel University. His visit is sponsored by the China Scholarship Council.

Cited Reference Count:
27

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
204SC

Unique ID:
WOS:000323388100002

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*Record 47 of 57.
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Title:
A macro analysis of productivity differences across fields: Challenges in the measurement of scientific publishing

Authors:
Piro, FN; Aksnes, DW; Rorstad, K

Author Full Names:
Piro, Fredrik Niclas; Aksnes, Dag W.; Rorstad, Kristoffer

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (2):307-320; 10.1002/asi.22746 FEB 2013

Language:
English

Document Type:
Article

Author Keywords:
knowledge management, indicators (values), information science

KeyWords Plus:
RESEARCH COLLABORATION; DETERMINANTS; PUBLICATION; FACULTY; IMPACT; SIZE

Abstract:
While many studies have compared research productivity across scientific
fields, they have mostly focused on the hard sciences, in many cases due
to limited publication data for the softer disciplines; these studies
have also typically been based on a small sample of researchers. In this
study we use complete publication data for all researchers employed at
Norwegian universities over a 4-year period, linked to biographic data
for each researcher. Using this detailed and complete data set, we
compare research productivity between five main scientific domains (and
subfields within them), across academic positions, and in terms of age
and gender. The study's key finding is that researchers from medicine,
natural sciences, and technology are most productive when whole counts
of publications are used, while researchers from the humanities and
social sciences are most productive when article counts are
fractionalized according to the total number of authors. The strong
differences between these fields in publishing forms and patterns of
coauthorship raise questions as to whether publication indicators can
justifiably be used for comparison of productivity across scientific
disciplines.

Addresses:
[Piro, Fredrik Niclas; Aksnes, Dag W.; Rorstad, Kristoffer] Nord Inst Studies Innovat Res & Educ NIFU, N-0302 Oslo, Norway.

E-mail Addresses:
fredrik.piro at nifu.no; dag.w.aksnes at nifu.no; kristoffer.rorstad at nifu.no

Cited Reference Count:
28

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
204SC

Unique ID:
WOS:000323388100007

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*Record 48 of 57.
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Title:
Venue-author-coupling: A measure for identifying disciplines through author communities

Authors:
Ni, CQ; Sugimoto, CR; Jiang, JP

Author Full Names:
Ni, Chaoqun; Sugimoto, Cassidy R.; Jiang, Jiepu

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (2):265-279; 10.1002/asi.22630 FEB 2013

Language:
English

Document Type:
Article

Author Keywords:
informetrics, scientometrics, scholarly communication

KeyWords Plus:
INFORMATION-SCIENCE; COCITATION ANALYSIS; INTELLECTUAL SPACE; CO-AUTHORSHIP; NETWORKS; TECHNOLOGY; DOCUMENTS; SOCIETY; FIELDS

Abstract:
Conceptualizations of disciplinarity often focus on the social aspects
of disciplines; that is, disciplines are defined by the set of
individuals who participate in their activities and communications.
However, operationalizations of disciplinarity often demarcate the
boundaries of disciplines by standard classification schemes, which may
be inflexible to changes in the participation profile of that
discipline. To address this limitation, a metric called
venue-author-coupling (VAC) is proposed and illustrated using journals
from the Journal Citation Report's (JCR) library science and information
science category. As JCRs are some of the most frequently used
categories in bibliometric analyses, this allows for an examination of
the extent to which the journals in JCR categories can be considered as
proxies for disciplines. By extending the idea of bibliographic
coupling, VAC identifies similarities among journals based on the
similarities of their author profiles. The employment of this method
using information science and library science journals provides evidence
of four distinct subfields, that is, management information systems,
specialized information and library science, library science-focused,
and information science-focused research. The proposed VAC method
provides a novel way to examine disciplinarity from the perspective of
author communities.

Addresses:
[Ni, Chaoqun; Sugimoto, Cassidy R.] Indiana Univ, Sch Lib & Informat Sci, Bloomington, IN 47405 USA.
[Jiang, Jiepu] Univ Pittsburgh, Sch Informat Sci, Pittsburgh, PA 15260 USA.

E-mail Addresses:
chni at indiana.edu; sugimoto at indiana.edu; jiangjiepu at gmail.com

Cited Reference Count:
36

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
204SC

Unique ID:
WOS:000323388100004

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========================================================================

*Record 49 of 57.
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Title:
Lifting the fog of scientometric research artifacts: On the scientometric analysis of environmental tobacco smoke research

Authors:
Heneberg, P

Author Full Names:
Heneberg, Petr

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (2):334-344; 10.1002/asi.22753 FEB 2013

Language:
English

Document Type:
Article

Author Keywords:
citation indexes, information retrieval, accuracy

KeyWords Plus:
IMPACT; COUNTRIES; SCIENCE; ERRORS; INDEX

Abstract:
Previous analyses identified research on environmental tobacco smoke to
be subject to strong fluctuations as measured by both quantitative and
qualitative indicators. The evolution of search algorithms (based on the
Web of Science and Web of Knowledge database platforms) was used to show
the impact of errors of omission and commission in the outcomes of
scientometric research. Optimization of the search algorithm led to the
complete reassessment of previously published findings on the
performance of environmental tobacco smoke research. Instead of strong
continuous growth, the field of environmental tobacco smoke research was
shown to experience stagnation or slow growth since mid-1990s when
evaluated quantitatively. Qualitative analysis revealed steady but slow
increase in the citation rate and decrease in uncitedness. Country
analysis revealed the North-European countries as leaders in
environmental tobacco smoke research (when the normalized results were
evaluated both quantitatively and qualitatively), whereas the United
States ranked first only when assessing the total number of papers
produced. Scientometric research artifacts, including both errors of
omission and commission, were shown to be capable of completely
obscuring the real output of the chosen research field.

Addresses:
Charles Univ Prague, Fac Med 3, CZ-10000 Prague 10, Czech Republic.

E-mail Addresses:
petr.heneberg at lf3.cuni.cz

Funding Acknowledgement:
Charles University in Prague [P31/2012, 204015]; Czech Science Foundation [P301/12/1686]; Internal Grant Agency of the Ministry of Health of the Czech Republic [NT13663-3/2012]

Funding Text:
This study was supported by the UNCE project 204015, and by the PRVOUK project P31/2012 from the Charles University in Prague, by the Czech Science Foundation project P301/12/1686, and by the Internal Grant Agency of the Ministry of Health of the Czech Republic project NT13663-3/2012.

Cited Reference Count:
36

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
204SC

Unique ID:
WOS:000323388100009

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Title:
Interestingness and the essence of citation

Authors:
Liu, YX; Rousseau, R

Author Full Names:
Liu, Yuxian; Rousseau, Ronald

Source:
JOURNAL OF DOCUMENTATION, 69 (4):580-589; 10.1108/JD-07-2012-0082 2013

Language:
English

Document Type:
Article

Author Keywords:
Citation analysis, Essence of citations, Interaction of perspectives, Interestingness of a phenomenon, Cognitive process, Authorship, Sciences

KeyWords Plus:
SCIENCE

Abstract:
Purpose - This paper aims to provide a new insight into the reasons why
authors cite.
Design/methodology/approach - The authors argue that, based on
philosophical ideas about the essence of things, pure rational thinking
about the role of citations leads to the answer.
Findings - Citations originate from the interestingness of the
investigated phenomenon. The essence of citation lies in the interaction
between different ideas or perspectives on a phenomenon addressed in the
citing as well as in the cited articles.
Research limitations/implications - The findings only apply to ethical
(not whimsical or self-serving) citations. As such citations reflect
interactions of scientific ideas, they can reveal the evolution of
science, revive the cognitive process of an investigated scientific
phenomenon and reveal political and economic factors influencing the
development of science.
Originality/value - This article is the first to propose interestingness
and the interaction of ideas as the basic reason for citing. This view
on citations allows reverse engineering from citations to ideas and
hence becomes useful for science policy.

Addresses:
[Liu, Yuxian] Tongji Univ, Lib Tongji Univ, Shanghai 200092, Peoples R China.
[Rousseau, Ronald] Katholieke Univ Leuven, Fac Engn Technol, KHBO, Oostende, Belgium.

E-mail Addresses:
yxliu at tongji.edu.cn

Cited Reference Count:
39

Times Cited:
0

Publisher:
EMERALD GROUP PUBLISHING LIMITED, HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND

ISSN:
0022-0418

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
200SG

Unique ID:
WOS:000323090400008

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Title:
How can journal impact factors be normalized across fields of science? An assessment in terms of percentile ranks and fractional counts

Authors:
Leydesdorff, L; Zhou, P; Bornmann, L

Author Full Names:
Leydesdorff, Loet; Zhou, Ping; Bornmann, Lutz

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (1):96-107; 10.1002/asi.22765 JAN 2013

Language:
English

Document Type:
Article

Author Keywords:
journals, citation indexes, information science

KeyWords Plus:
CITATION INDICATORS; SCIENTIFIC JOURNALS; DISTRIBUTIONS; UNIVERSALITY; DISCIPLINES; FAIRNESS; PAPER; TIME; TOOL

Abstract:
Using the CD-ROM version of the Science Citation Index 2010 (N = 3,705
journals), we study the (combined) effects of (a) fractional counting on
the impact factor (IF) and (b) transformation of the skewed citation
distributions into a distribution of 100 percentiles and six percentile
rank classes (top-1%, top-5%, etc.). Do these approaches lead to
field-normalized impact measures for journals? In addition to the 2-year
IF (IF2), we consider the 5-year IF (IF5), the respective numerators of
these IFs, and the number of Total Cites, counted both as integers and
fractionally. These various indicators are tested against the hypothesis
that the classification of journals into 11 broad fields by
PatentBoard/NSF (National Science Foundation) provides statistically
significant between-field effects. Using fractional counting the
between-field variance is reduced by 91.7% in the case of IF5, and by
79.2% in the case of IF2. However, the differences in citation counts
are not significantly affected by fractional counting. These results
accord with previous studies, but the longer citation window of a
fractionally counted IF5 can lead to significant improvement in the
normalization across fields.

Addresses:
[Leydesdorff, Loet] Univ Amsterdam, Amsterdam Sch Commun Res ASCoR, NL-1012 CX Amsterdam, Netherlands.
[Zhou, Ping] Inst Sci & Tech Informat China, Beijing, Peoples R China.
[Bornmann, Lutz] Max Planck Gesell, Div Sci & Innovat Studies, D-80539 Munich, Germany.

E-mail Addresses:
loet at leydesdorff.net; zhoup at istic.ac.cn; bornmann at gv.mpg.de

ResearcherID Numbers:
Bornmann, Lutz/A-3926-2008

ORCID Numbers:
Bornmann, Lutz/0000-0003-0810-7091

Funding Acknowledgement:
National Natural Science Foundation of China (NSFC) [71073153]

Funding Text:
We thank Thomson Reuters for access to the data. We thank Kim Hamilton for providing the journal list of Patent-Board, and NSF for giving permission. Ping Zhou acknowledges support from the National Natural Science Foundation of China (NSFC) with grant number 71073153.

Cited Reference Count:
60

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
204QZ

Unique ID:
WOS:000323384600008

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Title:
OM3: Ordered Maxitive, Minitive, and Modular Aggregation Operators: Axiomatic Analysis under Arity-Dependence (I)

Authors:
Cena, A; Gagolewski, M

Author Full Names:
Cena, Anna; Gagolewski, Marek

Editor(s):
Bustince H; Fernandez J; Mesiar R; Calco T

Source:
AGGREGATION FUNCTIONS IN THEORY AND IN PRACTISE, 228 93-103; 10.1007/978-3-642-39165-1_13 2013

Book Series:
Advances in Intelligent Systems and Computing

Language:
English

Document Type:
Proceedings Paper

Conference Title:
7th International Summer School on Aggregation Operators (AGOP 2013)

Conference Date:
JUL 16-20, 2013

Conference Location:
Pamplona, SPAIN

Conference Sponsors:
Univ Publ Navarra, Vicerrectorado Proyecc Universitaria, Univ Publ Navarra, Vicerrectorado Investigac, Univ Publ Navarra, Escuela Tecn Superior Ingn Ind & Telecommunicac, Univ Publ Navarra, Dept Auomtat & Computac, European Soc Fuzzy Log & Technol, Ayuntamiento Pamplona, Apezteguia Architects

Conference Host:
Publ Univ Navarra

KeyWords Plus:
CONSTRUCTION METHODS; INDEX

Abstract:
Recently, a very interesting relation between symmetric minitive,
maxitive, and modular aggregation operators has been shown. It turns out
that the intersection between any pair of the mentioned classes is the
same. This result introduces what we here propose to call the OM3
operators. In the first part of our contribution on the analysis of the
OM3 operators we study some properties that may be useful when
aggregating input vectors of varying lengths. In Part II we will perform
a thorough simulation study of the impact of input vectors' calibration
on the aggregation results.

Addresses:
[Cena, Anna; Gagolewski, Marek] Polish Acad Sci, Syst Res Inst, PL-01447 Warsaw, Poland.

E-mail Addresses:
Anna.Cena at ibspan.waw.pl; gagolews at ibspan.waw.pl

Cited Reference Count:
24

Times Cited:
0

Publisher:
SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY

ISSN:
2194-5357

ISBN:
978-3-642-39164-4

Web of Science Categories:
Computer Science, Artificial Intelligence; Mathematics, Applied; Physics, Applied

Research Areas:
Computer Science; Mathematics; Physics

IDS Number:
BGK28

Unique ID:
WOS:000323292300012

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Title:
Adding value to scholarly journals through a citation indexing system

Authors:
Zainab, AN; Abrizah, A; Raj, RG

Author Full Names:
Zainab, A. N.; Abrizah, A.; Raj, R. G.

Source:
PROGRAM-ELECTRONIC LIBRARY AND INFORMATION SYSTEMS, 47 (3):239-262; 10.1108/PROG-05-2012-0022 2013

Language:
English

Document Type:
Article

Author Keywords:
Malaysia, Research work, Journals, Indexing, Abstracting, Citation indexes, Scholarly journals, Visibility, Accessibility, Availability

KeyWords Plus:
TOOL

Abstract:
Purpose - The purpose of this paper is to relate the problems identified
about scholarly journal publishing in Malaysia to establish motivation
for the system development; to describe the design of MyCite, a
Malaysian citation indexing system and to highlight the added value to
journals and articles indexed through the generation of bibliometrics
performance reports.
Design/methodology/approach - The system uses a rapid prototyping
method, modeling the functions identified in the Web of Science
databases and Scopus, as the Ministry of Higher Education Malaysia
requires the system to be ready within a year, mainly to help improve
the quality, accessibility and performance of Malaysian scholarly
journals.
Findings - The paper shows the relational tables and module functions in
MyCite; highlights the value added to bibliographic data through
performance reports of authors, journals, institutions, country and
bibliographical control of Malaysian journals; and provides performance
tables of top authors, rank list of 75 journals by yearly impact factor,
and other bibliometric indices.
Research limitations/implications - The paper highlight the problems in
gaining access to full contents of journals, authors' adoption of
variant names, and the vast variations in referencing style adopted by
publishers, which may result in inaccurate counting and lost citations.
Originality/value - The strength of MyCite is in its reference editor
module, which is a programme that segments article references into
manageable chunks that helps speed up the data preparation for citation
counting. MyCite improves the availability and visibility of Malaysian
journals, enriches national research content, and provides better
knowledge of national research outputs funded by universities and
research institutions.

Addresses:
[Zainab, A. N.; Abrizah, A.] Univ Malaya, Fac Comp Sci & Informat Technol, Dept Lib & Informat Sci, Kuala Lumpur, Malaysia.
[Raj, R. G.] Univ Malaya, Fac Comp Sci & Informat Technol, Dept Artificial Intelligence, Kuala Lumpur, Malaysia.

E-mail Addresses:
zainab at um.edu.my

Funding Acknowledgement:
UMRG grant [RG05711ICT]; Malaysian Citation Centre, Ministry of Higher Education Malaysia

Funding Text:
The authors acknowledge the UMRG grant (RG05711ICT) provided by the University of Malaya for the period September 2011 to December 2012 and the support given by the Malaysian Citation Centre, Ministry of Higher Education Malaysia to develop the system. The authors also acknowledge the Information Technology Centre, University of Malaya for giving programming support to jumpstart the initiative.

Cited Reference Count:
26

Times Cited:
0

Publisher:
EMERALD GROUP PUBLISHING LIMITED, HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND

ISSN:
0033-0337

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
202RU

Unique ID:
WOS:000323238100002

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Title:
Bias in peer review

Authors:
Lee, CJ; Sugimoto, CR; Zhang, G; Cronin, B

Author Full Names:
Lee, Carole J.; Sugimoto, Cassidy R.; Zhang, Guo; Cronin, Blaise

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (1):2-17; 10.1002/asi.22784 JAN 2013

Language:
English

Document Type:
Review

Author Keywords:
reviewing, bias, scholarly communication

KeyWords Plus:
RANDOMIZED CONTROLLED-TRIAL; PUBLICATION BIAS; DOUBLE-BLIND; GRANT APPLICATIONS; MODELING APPROACH; GENDER BIAS; PREDICTIVE-VALIDITY; PUBLISHED ARTICLES; EMPIRICAL-EVIDENCE; ANGEWANDTE-CHEMIE

Abstract:
Research on bias in peer review examines scholarly communication and
funding processes to assess the epistemic and social legitimacy of the
mechanisms by which knowledge communities vet and self-regulate their
work. Despite vocal concerns, a closer look at the empirical and
methodological limitations of research on bias raises questions about
the existence and extent of many hypothesized forms of bias. In
addition, the notion of bias is predicated on an implicit ideal that,
once articulated, raises questions about the normative implications of
research on bias in peer review. This review provides a brief
description of the function, history, and scope of peer review;
articulates and critiques the conception of bias unifying research on
bias in peer review; characterizes and examines the empirical,
methodological, and normative claims of bias in peer review research;
and assesses possible alternatives to the status quo. We close by
identifying ways to expand conceptions and studies of bias to contend
with the complexity of social interactions among actors involved
directly and indirectly in peer review.

Addresses:
[Lee, Carole J.] Univ Washington, Dept Philosophy, Seattle, WA 98195 USA.
[Sugimoto, Cassidy R.; Zhang, Guo; Cronin, Blaise] Indiana Univ, Sch Lib & Informat Sci, Bloomington, IN 47405 USA.

E-mail Addresses:
c3 at uw.edu; sugimoto at indiana.edu; guozhang at indiana.edu; bcronin at indiana.edu

Cited Reference Count:
194

Times Cited:
1

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
204QZ

Unique ID:
WOS:000323384600002

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========================================================================

*Record 55 of 57.
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*Order Full Text [ ]

Title:
OM3: Ordered Maxitive, Minitive, and Modular Aggregation Operators. A Simulation Study (II)

Authors:
Cena, A; Gagolewski, M

Author Full Names:
Cena, Anna; Gagolewski, Marek

Editor(s):
Bustince H; Fernandez J; Mesiar R; Calco T

Source:
AGGREGATION FUNCTIONS IN THEORY AND IN PRACTISE, 228 105-115; 10.1007/978-3-642-39165-1_14 2013

Book Series:
Advances in Intelligent Systems and Computing

Language:
English

Document Type:
Proceedings Paper

Conference Title:
7th International Summer School on Aggregation Operators (AGOP 2013)

Conference Date:
JUL 16-20, 2013

Conference Location:
Pamplona, SPAIN

Conference Sponsors:
Univ Publ Navarra, Vicerrectorado Proyecc Universitaria, Univ Publ Navarra, Vicerrectorado Investigac, Univ Publ Navarra, Escuela Tecn Superior Ingn Ind & Telecommunicac, Univ Publ Navarra, Dept Auomtat & Computac, European Soc Fuzzy Log & Technol, Ayuntamiento Pamplona, Apezteguia Architects

Conference Host:
Publ Univ Navarra

KeyWords Plus:
H-INDEX

Abstract:
This article is a second part of the contribution on the analysis of the
recently-proposed class of symmetric maxitive, minitive and modular
aggregation operators. Recent results (Gagolewski, Mesiar, 2012)
indicated some unstable behavior of the generalized h-index, which is a
particular instance of OM3, in case of input data transformation. The
study was performed on a small, carefully selected real-world data set.
Here we conduct some experiments to examine this phenomena more
extensively.

Addresses:
[Cena, Anna; Gagolewski, Marek] Polish Acad Sci, Syst Res Inst, PL-01447 Warsaw, Poland.

E-mail Addresses:
Anna.Cena at ibspan.waw.pl; gagolews at ibspan.waw.pl

Cited Reference Count:
15

Times Cited:
0

Publisher:
SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY

ISSN:
2194-5357

ISBN:
978-3-642-39164-4

Web of Science Categories:
Computer Science, Artificial Intelligence; Mathematics, Applied; Physics, Applied

Research Areas:
Computer Science; Mathematics; Physics

IDS Number:
BGK28

Unique ID:
WOS:000323292300013

Cited References:
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========================================================================

*Record 56 of 57.
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*Order Full Text [ ]

Title:
Peer review in a changing world: An international study measuring the attitudes of researchers

Authors:
Mulligan, A; Hall, L; Raphael, E

Author Full Names:
Mulligan, Adrian; Hall, Louise; Raphael, Ellen

Source:
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 64 (1):132-161; 10.1002/asi.22798 JAN 2013

Language:
English

Document Type:
Article

Author Keywords:
questionnaires, publishing, evaluation

KeyWords Plus:
SCHOLARLY COMMUNICATION; AUTHORS WANT; QUALITY; SCIENCE; SYSTEM; TRIAL

Abstract:
This large-scale international study measures the attitudes of more than
4,000 researchers toward peer review. In 2009, 40,000 authors of
research papers from across the globe were invited to complete an online
survey. Researchers were asked to rate a number of general statements
about peer review, and then a subset of respondents, who had themselves
peer reviewed, rated a series of statements concerning their experience
of peer review. The study found that the peer review process is highly
regarded by the vast majority of researchers and considered by most to
be essential to the communication of scholarly research. Nine out of 10
authors believe that peer review improved the last paper they published.
Double-blind peer review is considered the most effective form of peer
review. Nearly three quarters of researchers think that technological
advances are making peer review more effective. Most researchers believe
that although peer review should identify fraud, it is very difficult
for it to do so. Reviewers are committed to conducting peer review in
the future and believe that simple practical steps, such as training new
reviewers would further improve peer review.

Addresses:
[Mulligan, Adrian; Hall, Louise] Elsevier Ltd, Oxford OX5 1GB, England.
[Raphael, Ellen] Sense Sci, London EC1R 0DP, England.

E-mail Addresses:
a.mulligan at elsevier.com; l.hall at elsevier.com; eraphael at senseaboutscience.org

Cited Reference Count:
39

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
1532-2882

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
204QZ

Unique ID:
WOS:000323384600011

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