[Sigmetrics] Papers of Interest to readers of the SIG-Metrics List (May 24, 2016)
eugene.garfield at thomsonreuters.com
eugene.garfield at thomsonreuters.com
Tue May 24 14:13:05 EDT 2016
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Title:
Automated Research Impact Assessment: a new bibliometrics approach
Authors:
Drew, CH; Pettibone, KG; Finch, FO; Giles, D; Jordan, P
Author Full Names:
Drew, Christina H.; Pettibone, Kristianna G.; Finch, Fallis Owen, III;
Giles, Douglas; Jordan, Paul
Source:
SCIENTOMETRICS, 106 (3):987-1005; 10.1007/s11192-015-1828-7 MAR 2016
Language:
English
Document Type:
Article
Author Keywords:
Bibliometrics, Automated impact analysis, Research evaluation, Science of science management
KeyWords Plus:
CITATION; METRICS; HEALTH; CHALLENGES
Abstract:
As federal programs are held more accountable for their research
investments, The National Institute of Environmental Health Sciences
(NIEHS) has developed a new method to quantify the impact of our funded
research on the scientific and broader communities. In this article we
review traditional bibliometric analyses, address challenges associated
with them, and describe a new bibliometric analysis method, the
Automated Research Impact Assessment (ARIA). ARIA taps into a resource
that has only rarely been used for bibliometric analyses: references
cited in "important" research artifacts, such as policies, regulations,
clinical guidelines, and expert panel reports. The approach includes new
statistics that science managers can use to benchmark contributions to
research by funding source. This new method provides the ability to
conduct automated impact analyses of federal research that can be
incorporated in program evaluations. We apply this method to several
case studies to examine the impact of NIEHS funded research.
Reprint Address:
Drew, CH (reprint author), NIEHS, Program Anal Branch, POB 12233, Res Triangle Pk, NC 27709 USA.
Addresses:
[Drew, Christina H.; Pettibone, Kristianna G.] NIEHS, Program Anal Branch, POB 12233, Res Triangle Pk, NC 27709 USA.
[Finch, Fallis Owen, III; Giles, Douglas] Open Intelligence Inc, Raleigh, NC USA.
[Jordan, Paul] NIH, Off Extramural Res, Off Data Anal Tools & Syst, Bldg 10, Bethesda, MD 20892 USA.
E-mail Addresses:
drewc at niehs.nih.gov
Funding Acknowledgement:
National Institute of Environmental Health Sciences (NIEHS)
Funding Text:
This work was supported by the National Institute of Environmental Health Sciences (NIEHS). The authors would like to acknowledge the work of Sheila Newton and Raymond Grissom, Jr., of the NIEHS Office of Planning and Policy Evaluation, who conducted an early manual review of an EPA Ozone Regulation as a test of this new bibliometric research method. Many thanks also to James Corrigan (National Cancer Institute) who provided comments on early versions of this paper; and to James Onken and Brian Haugen in the NIH Office of Extramural Research, Office of Data Analysis Tools and Systems, who currently manage the SPIRES database (and RePARS tool) for the National Institutes of Health.
Cited Reference Count:
58
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0138-9130
eISSN:
1588-2861
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DK1WM
Unique ID:
WOS:000374705700006
Cited References:
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Roessner D., 1998, The role of NSF's support of engineering in enabling technological innovation: Phase II, final report to National Science Foundation,
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Ajiferuke Isola, 2010, SCIENTOMETRICS, V83, P623
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Koplan JP, 1999, MMWR, V48, P1
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Title:
*Bibliographic* analysis on research publications using authors, categorical labels and the *citation* network
Authors:
Lim, KW; Buntine, W
Author Full Names:
Lim, Kar Wai; Buntine, Wray
Source:
MACHINE LEARNING, 103 (2):185-213; SI 10.1007/s10994-016-5554-z MAY 2016
Language:
English
Document Type:
Article; Proceedings Paper
Conference Title:
6th Asian Conference on Machine Learning (ACML)
Conference Date:
NOV 26-28, 2014
Conference Location:
Nha Trang, VIETNAM
Author Keywords:
Bibliographic analysis, Topic model, Bayesian non-parametric, Authorcitation network
KeyWords Plus:
MODELS
Abstract:
Bibliographic analysis considers the author's research areas, the
citation network and the paper content among other things. In this
paper, we combine these three in a topic model that produces a
bibliographic model of authors, topics and documents, using a
non-parametric extension of a combination of the Poisson mixed-topic
link model and the author-topic model. This gives rise to the Citation
Network Topic Model (CNTM). We propose a novel and efficient inference
algorithm for the CNTM to explore subsets of research publications from
CiteSeer. The publication datasets are organised into three corpora,
totalling to about 168k publications with about 62k authors. The queried
datasets are made available online. In three publicly available corpora
in addition to the queried datasets, our proposed model demonstrates an
improved performance in both model fitting and document clustering,
compared to several baselines. Moreover, our model allows extraction of
additional useful knowledge from the corpora, such as the visualisation
of the author-topics network. Additionally, we propose a simple method
to incorporate supervision into topic modelling to achieve further
improvement on the clustering task.
Reprint Address:
Lim, KW (reprint author), Australian Natl Univ, Canberra, ACT, Australia.Lim, KW (reprint author), NICTA, Canberra, ACT, Australia.
Addresses:
[Lim, Kar Wai] Australian Natl Univ, Canberra, ACT, Australia.
[Lim, Kar Wai] NICTA, Canberra, ACT, Australia.
[Buntine, Wray] Monash Univ, Clayton, Vic, Australia.
E-mail Addresses:
karwai.lim at anu.edu.au; wray.buntine at monash.edu
Cited Reference Count:
33
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0885-6125
eISSN:
1573-0565
Web of Science Categories:
Computer Science, Artificial Intelligence
Research Areas:
Computer Science
IDS Number:
DK1OZ
Unique ID:
WOS:000374683800003
Cited References:
Lim K. W., 2013, NIPS Topic Model workshop,
McCallum A. K., 2002, MALLET: A machine learning for language toolkit,
Sato I., 2010, KDD, P673
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Lim K. W., 2014, ACML, P142
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Kataria S., 2011, IJCAI, P2274
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Title:
How accurate are *cited* references in Iranian peer-reviewed *journals*?
Authors:
Ghane, MR
Author Full Names:
Ghane, Mohammad Reza
Source:
LEARNED PUBLISHING, 29 (2):77-82; 10.1002/leap.1000 APR 2016
Language:
English
Document Type:
Article
KeyWords Plus:
SURGERY JOURNALS; CITATION ERRORS; QUOTATION; SCIENCE; BIBLIOGRAPHIES; PUBLICATION; LIBRARY; AUTHORS; WEB
Abstract:
The references cited in scientific articles are as important as any
other part of the paper, because of their usefulness to the scientific
community and to abstracting and indexing services and citation
databases. I studied inaccuracies in references and in-text citations in
sample of 97 of the 519 peer-reviewed journals accredited by the Iranian
National Commission for Journal Accreditation Policy (Ministry of
Research, Science and Technology). The target journals published 2,980
articles with 74,577 cited references and 108,151 in-text citations. The
results showed 36.6% as the average percentage error rate (range 5.6% to
61.3%). The mean number of errors in cited reference and in-text
citations was 2.7 per article, and the mean number of errors per journal
was 690. For the entire sample of articles, 4,369 in-text citations did
not match any source in the list of references (4%), and 8,683 cited
references did not match any in-text citation (11.6%). The stakeholders
in scholarly communication, especially authors, pay insufficient
attention to the accuracy of bibliographic references. Peer-reviewed
journals should encourage the use of standardized journal policies and
quality-control measures regarding peer review, data quality and
accuracy.
Reprint Address:
Ghane, MR (reprint author), Reg Informat Ctr Sci & Technol RICeST, Res Dept Evaluat & Collect Dev, Jam E Jam Ave,Jomhouri Blvd, Shiraz 7194694171, Iran.
Addresses:
[Ghane, Mohammad Reza] Reg Informat Ctr Sci & Technol RICeST, Res Dept Evaluat & Collect Dev, Jam E Jam Ave,Jomhouri Blvd, Shiraz 7194694171, Iran.
E-mail Addresses:
ghane at ricest.ac.ir
Cited Reference Count:
40
Times Cited:
0
Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
ISSN:
0953-1513
eISSN:
1741-4857
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DK0PA
Unique ID:
WOS:000374613500002
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Title:
Quantifying the scientific output of new researchers using the zp-index
Authors:
Zou, C; Peterson, JB
Author Full Names:
Zou, Christopher; Peterson, Jordan B.
Source:
SCIENTOMETRICS, 106 (3):901-916; 10.1007/s11192-015-1807-z MAR 2016
Language:
English
Document Type:
Article
Author Keywords:
Scientometrics, Bibliometrics, h-index, Psychology research, Research productivity
KeyWords Plus:
IMPACT FACTOR; H-INDEX; RESEARCH PERFORMANCE; QUALITY; PRODUCTIVITY; SUCCESS
Abstract:
Despite a high level of interest in quantifying the scientific output of
established researchers, there has been less of a focus on quantifying
the performance of junior researchers. The available metrics that
quantify a scientist's research output all utilize citation information,
which often takes a number of years to accrue and thus would
disadvantage newer researchers (e.g., graduate students, post-doctoral
members, new professors). Based on this critical limitation of existing
metrics, we created a new metric of scientific output, the zp-index,
which remedies this issue by utilizing the journal quality rather than
citation count in calculating an index of scientific output.
Additionally, the zp-index also takes authorship position into account
by allocating empirically derived weights to each authorship position,
so that first authorship publications receive more credit than later
authorship positions (Study 1). Furthermore, the zp-index has equal
predictive validity as a measure of the number of publications but does
a better job of discriminating researcher's scientific output and may
provide different information than the number of publications (Study 2).
Therefore, use of the zp-index in conjunction with the number of
publications can provide a more accurate assessment of a new scientist's
academic achievements.
Reprint Address:
Zou, C (reprint author), Univ Toronto, 100 St George St 4th Floor,Sidney Smith Hall, Toronto, ON M5S 3G3, Canada.
Addresses:
[Zou, Christopher; Peterson, Jordan B.] Univ Toronto, 100 St George St 4th Floor,Sidney Smith Hall, Toronto, ON M5S 3G3, Canada.
E-mail Addresses:
christopher.zou at mail.utoronto.ca; jordan.peterson at utoronto.ca
Cited Reference Count:
35
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0138-9130
eISSN:
1588-2861
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DK1WM
Unique ID:
WOS:000374705700002
Cited References:
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Title:
Automated Research Impact Assessment: a new *bibliometrics* approach
Authors:
Drew, CH; Pettibone, KG; Finch, FO; Giles, D; Jordan, P
Author Full Names:
Drew, Christina H.; Pettibone, Kristianna G.; Finch, Fallis Owen, III;
Giles, Douglas; Jordan, Paul
Source:
SCIENTOMETRICS, 106 (3):987-1005; 10.1007/s11192-015-1828-7 MAR 2016
Language:
English
Document Type:
Article
Author Keywords:
Bibliometrics, Automated impact analysis, Research evaluation, Science of science management
KeyWords Plus:
CITATION; METRICS; HEALTH; CHALLENGES
Abstract:
As federal programs are held more accountable for their research
investments, The National Institute of Environmental Health Sciences
(NIEHS) has developed a new method to quantify the impact of our funded
research on the scientific and broader communities. In this article we
review traditional bibliometric analyses, address challenges associated
with them, and describe a new bibliometric analysis method, the
Automated Research Impact Assessment (ARIA). ARIA taps into a resource
that has only rarely been used for bibliometric analyses: references
cited in "important" research artifacts, such as policies, regulations,
clinical guidelines, and expert panel reports. The approach includes new
statistics that science managers can use to benchmark contributions to
research by funding source. This new method provides the ability to
conduct automated impact analyses of federal research that can be
incorporated in program evaluations. We apply this method to several
case studies to examine the impact of NIEHS funded research.
Reprint Address:
Drew, CH (reprint author), NIEHS, Program Anal Branch, POB 12233, Res Triangle Pk, NC 27709 USA.
Addresses:
[Drew, Christina H.; Pettibone, Kristianna G.] NIEHS, Program Anal Branch, POB 12233, Res Triangle Pk, NC 27709 USA.
[Finch, Fallis Owen, III; Giles, Douglas] Open Intelligence Inc, Raleigh, NC USA.
[Jordan, Paul] NIH, Off Extramural Res, Off Data Anal Tools & Syst, Bldg 10, Bethesda, MD 20892 USA.
E-mail Addresses:
drewc at niehs.nih.gov
Funding Acknowledgement:
National Institute of Environmental Health Sciences (NIEHS)
Funding Text:
This work was supported by the National Institute of Environmental Health Sciences (NIEHS). The authors would like to acknowledge the work of Sheila Newton and Raymond Grissom, Jr., of the NIEHS Office of Planning and Policy Evaluation, who conducted an early manual review of an EPA Ozone Regulation as a test of this new bibliometric research method. Many thanks also to James Corrigan (National Cancer Institute) who provided comments on early versions of this paper; and to James Onken and Brian Haugen in the NIH Office of Extramural Research, Office of Data Analysis Tools and Systems, who currently manage the SPIRES database (and RePARS tool) for the National Institutes of Health.
Cited Reference Count:
58
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0138-9130
eISSN:
1588-2861
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DK1WM
Unique ID:
WOS:000374705700006
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========================================================================
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*Order Full Text [ ]
Title:
Multivariate analysis of credit risk and bankruptcy research data: a *bibliometric* study involving different knowledge fields (1968-2014)
Authors:
do Prado, JW; Alcantara, VD; Carvalho, FD; Vieira, KC; Machado, LKC;
Tonelli, DF
Author Full Names:
do Prado, Jose Willer; Alcantara, Valderi de Castro; Carvalho,
Francisval de Melo; Vieira, Kelly Carvalho; Cruz Machado, Luiz Kennedy;
Tonelli, Dany Flavio
Source:
SCIENTOMETRICS, 106 (3):1007-1029; 10.1007/s11192-015-1829-6 MAR 2016
Language:
English
Document Type:
Article
Author Keywords:
Bankruptcy, Credit risk, Multivariate data analysis, Bibliometrics
KeyWords Plus:
SUPPORT VECTOR MACHINES; BUSINESS FAILURE PREDICTION; NEURAL-NETWORK MODELS; SCORING MODELS; DISCRIMINANT-ANALYSIS; SCIENTIFIC LITERATURE; GENETIC ALGORITHM; FINANCIAL RATIOS; FUZZY-LOGIC; CLASSIFICATION
Abstract:
Bibliometrics are important evaluation tools to the scientific
production. A bibliometric study was used to evaluate researches about
credit risk and bankruptcy. Credit support technique studies on economic
and social orders are relevant in this knowledge field. Therefore, the
aim of the current study is to identify and describe the application of
multivariate data analysis techniques to credit risk and bankruptcy
scenarios. The herein presented data were collected in publications
indexed to Thomson Reuters' Web of Science database between 1968 and
2014. The results corroborate information in the literature and in
previous bibliometric reviews, as well as highlight other indications
regarding the construction and development of research fields. Since the
1990's, the neural networks became relevant due to their increased use
as study object in publications. However, both the discriminant analysis
(J Finance 23(4): 589-609, 1968. doi: 10.2307/2978933) and the logistic
regression (J Account Res 18(1): 109-131, 1980. doi: 10.2307/2490395)
are still often used in researches, fact that shows the tendency to find
articles using more than one technique or hybrid models, artificial
intelligence techniques and complex computer systems. This field appears
to be multidisciplinary in journals and Web Science databases involving
the business and economy, operational research, management, mathematics,
data processing, engineering and statistics fields. Another relevant
discovery was the increased number of publications about this subject
launched right after the 2008 crisis.
Reprint Address:
do Prado, JW (reprint author), UFLA Univ Fed Lavras, Programa Posgrad Adm, Caixa Postal 3037, BR-37200000 Lavras, MG, Brazil.
Addresses:
[do Prado, Jose Willer; Alcantara, Valderi de Castro; Carvalho, Francisval de Melo; Vieira, Kelly Carvalho; Cruz Machado, Luiz Kennedy; Tonelli, Dany Flavio] UFLA Univ Fed Lavras, Programa Posgrad Adm, Caixa Postal 3037, BR-37200000 Lavras, MG, Brazil.
E-mail Addresses:
jwprado at gmail.com
Cited Reference Count:
90
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0138-9130
eISSN:
1588-2861
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DK1WM
Unique ID:
WOS:000374705700007
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*Order Full Text [ ]
Title:
*Scientometric* trend analyses of publications on the history of psychology: Is psychology becoming an unhistorical science?
Authors:
Krampen, G
Author Full Names:
Krampen, Guenter
Source:
SCIENTOMETRICS, 106 (3):1217-1238; 10.1007/s11192-016-1834-4 MAR 2016
Language:
English
Document Type:
Article
Author Keywords:
History of psychology, Scientometry, Methodology, Publication genre, Psychology, Psychology education
KeyWords Plus:
AMERICAN PSYCHOLOGY; NEGLECTED 95-PERCENT; DIGITAL ANALYSIS; GERMAN SOCIETY; COMMISSION; SCHOOLS
Abstract:
Examines scientometrically the trends in and the recent situation of
research on and the teaching of the history of psychology in the
German-speaking countries and compares the findings with the situation
in other countries (mainly the United States) by means of the psychology
databases PSYNDEX and PsycINFO. Declines of publications on the history
of psychology are described scientometrically for both research
communities since the 1990s. Some impulses are suggested for the future
of research on and the teaching of the history of psychology. These
include (1) the necessity and significance of an intensified use of
quantitative, unobtrusive scientometric methods in historiography in
times of digital "big data'', (2) the necessity and possibilities to
integrate qualitative and quantitative methodologies in historical
research and teaching, (3) the reasonableness of interdisciplinary
cooperation of specialist historians, scientometricians, and
psychologists, (4) the meaningfulness and necessity to explore,
investigate, and teach more intensively the past and the problem history
of psychology as well as the understanding of the subject matter of
psychology in its historical development in cultural contexts. The
outlook on the future of such a more up-to-date research on and teaching
of the history of psychology is-with some caution-positive.
Reprint Address:
Krampen, G (reprint author), Leibniz Inst Psychol Informat ZPID, D-54286 Trier, Germany.Krampen, G (reprint author), Univ Trier, Dept Psychol, D-54286 Trier, Germany.Krampen, G (reprint author), Univ Luxembourg, Dept Psychol INSIDE, Luxembourg, Luxembourg.
Addresses:
[Krampen, Guenter] Leibniz Inst Psychol Informat ZPID, D-54286 Trier, Germany.
[Krampen, Guenter] Univ Trier, Dept Psychol, D-54286 Trier, Germany.
[Krampen, Guenter] Univ Luxembourg, Dept Psychol INSIDE, Luxembourg, Luxembourg.
E-mail Addresses:
krampen at uni-trier.de
Cited Reference Count:
58
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0138-9130
eISSN:
1588-2861
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DK1WM
Unique ID:
WOS:000374705700018
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Title:
No new evidence for a *citation* benefit for Author-Pay Open Access Publications in the social sciences and humanities
Authors:
Wray, KB
Author Full Names:
Wray, K. Brad
Source:
SCIENTOMETRICS, 106 (3):1031-1035; 10.1007/s11192-016-1833-5 MAR 2016
Language:
English
Document Type:
Article
Author Keywords:
Citations, Open Access Publishing, Author-pay model, Social sciences, Humanities, Citation advantage, Gold Open Access
Abstract:
I challenge a finding reported recently in a paper by Sotudeh et al.
(Scientometrics, 2015. doi: 10.1007/s11192-015-1607-5). The authors
argue that there is a citation advantage for those who publish
Author-Pay Open Access (Gold Open Access) in journals published by
Springer and Elsevier. I argue that the alleged advantage that the
authors report for journals in the social sciences and humanities is an
artifact of their method. The findings reported about the life sciences,
the health sciences, and the natural sciences, on the other hand, are
robust. But my finding underscores the fact that epistemic cultures in
the social sciences and humanities are different from those in the other
fields.
Reprint Address:
Wray, KB (reprint author), SUNY Coll Oswego, Dept Philosophy, 212 Marano Campus Ctr, Oswego, NY 13126 USA.
Addresses:
[Wray, K. Brad] SUNY Coll Oswego, Dept Philosophy, 212 Marano Campus Ctr, Oswego, NY 13126 USA.
E-mail Addresses:
kwray at oswego.edu
Funding Acknowledgement:
State University of New York, Oswego
Funding Text:
The author thanks the referees for their astute comments. One referee in particular played a crucial role in making recommendations for the whole paper, but especially the Discussion section. I completed the final revisions to the paper while I was a Visiting Scholar in the Department of Linguistics and Philosophy at the Massachusetts Institute of Technology. I thank M.I.T. for their hospitality, and I thank the State University of New York, Oswego, for supporting my sabbatical leave for the 2015-2016 academic year.
Cited Reference Count:
9
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0138-9130
eISSN:
1588-2861
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DK1WM
Unique ID:
WOS:000374705700008
Cited References:
Atchison Amy, 2015, PS-POLITICAL SCIENCE & POLITICS, V48, P129
Cole S., 1992, Making science: Between nature and society,
Wray K. B., 2015, International encyclopedia of the social and behavioral sciences, V7, P867
Mendenhall W., 1999, Introduction to probability and statistics,
Xia Jingfeng, 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P615
PRICE DJD, 1965, SCIENCE, V149, P510
Antelman K, 2004, COLLEGE & RESEARCH LIBRARIES, V65, P372
Sotudeh Hajar, 2015, SCIENTOMETRICS, V104, P581
Wray K. B., 2015, Scientometrics, V102, P1978
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Title:
The probability of publishing in first-quartile *journals*
Authors:
Liu, WS; Hu, GY; Gu, MD
Author Full Names:
Liu, Weishu; Hu, Guangyuan; Gu, Mengdi
Source:
SCIENTOMETRICS, 106 (3):1273-1276; 10.1007/s11192-015-1821-1 MAR 2016
Language:
English
Document Type:
Letter
Author Keywords:
Impact factor, JIF quartile, Journal Citation Reports, Research evaluation
KeyWords Plus:
COLLABORATION; CITATIONS
Abstract:
As an alternative metric of journal *impact factor* (JIF), journal
*impact factor* quartile is increasingly adopted to compare the research
impact of journals within and across different domains. We adopt both
optimistic and pessimistic approaches to illustrate the JIF
distributions of journals listed in the 2015 Journal Citation Reports.
We find that at least one-third of Web of Science publications are
actually published in the first quartile (high *impact factor*
journals). In comparison, at most 16.5 % of publications are published
in the fourth quartile (low *impact factor* journals). We argue that
Bornmann and Marx's (Scientometrics 98(1):487-509, 2014) claim that "One
can expect that 25 % of a researcher's publications have been published
in the first quartile'' is not precise.
Reprint Address:
Hu, GY (reprint author), Shanghai Univ Finance & Econ, Sch Publ Econ & Adm, Shanghai 200433, Peoples R China.
Addresses:
[Liu, Weishu; Gu, Mengdi] Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200052, Peoples R China.
[Hu, Guangyuan] Shanghai Univ Finance & Econ, Sch Publ Econ & Adm, Shanghai 200433, Peoples R China.
E-mail Addresses:
hu.guangyuan at mail.shufe.edu.cn
Funding Acknowledgement:
National Natural Science Foundation of China [71303147]
Funding Text:
This research is supported by National Natural Science Foundation of China (#71303147). We appreciate the valuable comments and feedback of two anonymous reviewers. The views expressed herein are those of the authors and not necessarily those of the funder listed here. We are responsible for any errors.
Cited Reference Count:
7
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0138-9130
eISSN:
1588-2861
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DK1WM
Unique ID:
WOS:000374705700022
Cited References:
Alvarez Pablo, 2014, SCIENTOMETRICS, V98, P447
Tang Li, 2013, JOURNAL OF INFORMETRICS, V7, P330
Bornmann Lutz, 2014, SCIENTOMETRICS, V98, P487
Chinchilla-Rodriguez Zaida, 2015, SCIENTOMETRICS, V103, P779
Tang Li, 2015, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V66, P1923
Ibanez Alfonso, 2013, SCIENTOMETRICS, V95, P689
Zhou Ping, 2015, SCIENTOMETRICS, V105, P1875
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Title:
Top 100 most-*cited articles* in low back pain: a 22-year survey of publication activity
Authors:
Fan, GX; Han, RS; Zhang, HL; Zhou, Z; He, SS; Chen, ZQ
Author Full Names:
Fan, Guoxin; Han, Ruoshuang; Zhang, Hailong; Zhou, Zhi; He, Shisheng;
Chen, Zhengqi
Source:
INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE, 9 (2):648-657; 2016
Language:
English
Document Type:
Review
Author Keywords:
Citation analysis, low back pain, publications
KeyWords Plus:
CITATION-CLASSICS; BIBLIOMETRIC ANALYSIS; ORTHOPEDIC-SURGERY; IMPACT FACTORS; JOURNALS; SCIENCE; TRENDS; RADIOLOGY
Abstract:
The field of low back pain research has gained more attentions over
these years due to the prevalence of low back pain. The main objective
of this article is to report the top 100 cited articles in the field of
low back pain research and provide a practical guide and references in
evaluating the low back pain literature. The 100 most cited articles
were selected and analyzed base on the number of citations in the
Science Citation Index Expanded (SCI-E) without any time or study-type
restriction. The citation ranged from 300 to 1469 in the top 100 cited
articles in the field of low back pain research with an average citation
number of 527.95. Notably, 2003 is the most productive year with 12 of
top 100 cited articles published. The leading country is United States
that published the largest number of articles (n=51). University of
Washington is the most productive institution with 17 articles. The
journal published the highest number of top 100 cited articles was Spine
with 26, followed by Pain with 14. Sixty-three of the 100 most cited
articles were original articles and 35 were reviews. Fifty-four articles
concerning the subspecialty of Neurosciences Neurology, followed by
Orthopedics (n=37). The study provided an insight on the citation rank
of low back pain research and identified the top 100 cited articles in
this particular field, which may be utilized to guide low back
pain-related research and healthcare.
Reprint Address:
He, SS; Chen, ZQ (reprint author), Tongji Univ, Sch Med, Shanghai Peoples Hostipal 10, Dept Orthoped, 301 Yanchang Rd, Shanghai 200072, Peoples R China.
Addresses:
[Fan, Guoxin; Han, Ruoshuang; Zhang, Hailong; Zhou, Zhi; He, Shisheng; Chen, Zhengqi] Tongji Univ, Sch Med, Shanghai Peoples Hostipal 10, Dept Orthoped, 301 Yanchang Rd, Shanghai 200072, Peoples R China.
E-mail Addresses:
tjhss7418 at foxmail.com; zhengqichen301 at sina.com
Cited Reference Count:
35
Times Cited:
0
Publisher:
E-CENTURY PUBLISHING CORP, 40 WHITE OAKS LN, MADISON, WI 53711 USA
ISSN:
1940-5901
Web of Science Categories:
Medicine, Research & Experimental
Research Areas:
Research & Experimental Medicine
IDS Number:
DK1EL
Unique ID:
WOS:000374655200019
Cited References:
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Turk Dennis C., 2010, CLINICAL JOURNAL OF PAIN, V26, P173
Bayley M, 2014, Foot (Edinburgh, Scotland), V24, P11
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WADDELL G, 1987, SPINE, V12, P632
Holzer Lukas A., 2014, JOURNAL OF ARTHROPLASTY, V29, P1878
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Title:
A Sciento-text framework to characterize research strength of institutions at fine-grained thematic area level
Authors:
Uddin, A; Bhoosreddy, J; Tiwari, M; Singh, VK
Author Full Names:
Uddin, Ashraf; Bhoosreddy, Jaideep; Tiwari, Marisha; Singh, Vivek Kumar
Source:
SCIENTOMETRICS, 106 (3):1135-1150; 10.1007/s11192-016-1836-2 MAR 2016
Language:
English
Document Type:
Article
Author Keywords:
Computer science research, Research competitiveness, Field-based ranking, Scientometrics, UniversitySelectPlus
KeyWords Plus:
RESEARCH OUTPUT; INTERNATIONAL COLLABORATION; BIBLIOMETRIC INDICATORS; IMPACT; PERCENTILES; PERFORMANCE; CITATIONS; RANKING; FIELDS; INDEX
Abstract:
This paper presents a Sciento-text framework to characterize and assess
research performance of leading world institutions in fine-grained
thematic areas. While most of the popular university research rankings
rank universities either on their overall research performance or on a
particular subject, we have tried to devise a system to identify strong
research centres at a more fine-grained level of research themes of a
subject. Computer science (CS) research output of more than 400
universities in the world is taken as the case in point to demonstrate
the working of the framework. The Sciento-text framework comprises of
standard scientometric and text analytics components. First of all every
research paper in the data is classified into different thematic areas
in a systematic manner and then standard scientometric methodology is
used to identify and assess research strengths of different institutions
in a particular research theme (say Artificial Intelligence for CS
domain). The performance of framework components is evaluated and the
complete system is deployed on the Web at url: www.
universityselectplus. com. The framework is extendable to other subject
domains with little modification.
Reprint Address:
Singh, VK (reprint author), Banaras Hindu Univ, Dept Comp Sci, Varanasi 221005, Uttar Pradesh, India.
Addresses:
[Uddin, Ashraf] South Asian Univ, Dept Comp Sci, New Delhi, India.
[Bhoosreddy, Jaideep] Univ Buffalo, Dept Comp Sci & Engn, Buffalo, NY USA.
[Tiwari, Marisha] Banaras Hindu Univ, DST CIMS, Varanasi 221005, Uttar Pradesh, India.
[Singh, Vivek Kumar] Banaras Hindu Univ, Dept Comp Sci, Varanasi 221005, Uttar Pradesh, India.
E-mail Addresses:
vivekks12 at gmail.com
Funding Acknowledgement:
Department of Science and Technology, Government of India [INT/MEXICO/P-13/2012]; University Grants Commission of India [41-624/2012(SR)]
Funding Text:
This work is supported by research grants from Department of Science and Technology, Government of India (Grant: INT/MEXICO/P-13/2012) and University Grants Commission of India (Grant: F. No. 41-624/2012(SR)). A preliminary version of this work was presented in 20th Science Technology Indicators Conference in Sep. 2015 at Lugano, Switzerland.
Cited Reference Count:
31
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0138-9130
eISSN:
1588-2861
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DK1WM
Unique ID:
WOS:000374705700014
Cited References:
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Title:
Academic capacity building: holding up a mirror
Authors:
Van der Stocken, T; Huge, J; Deboelpaep, E; Vanhove, MPM; de Bisthoven,
LJ; Koedam, N
Author Full Names:
Van der Stocken, Tom; Huge, Jean; Deboelpaep, Evelien; Vanhove, Maarten
P. M.; de Bisthoven, Luc Janssens; Koedam, Nico
Source:
SCIENTOMETRICS, 106 (3):1277-1280; 10.1007/s11192-015-1811-3 MAR 2016
Language:
English
Document Type:
Article
Author Keywords:
Authorship, Development, Ethical publishing: Mathilda effect, Matthew effect, LMIC, Scientific publication
KeyWords Plus:
SCIENCE; METRICS
Abstract:
Based on our involvement in numerous consortia and projects with
colleagues from low-and middle-income countries (LMICs), as well as on
our extensive fieldwork experience in the global South, we have a shared
concern on the actual inclusion of LMIC colleagues and institutions in
coproducing highly valuable and policy-relevant science. While capacity
building is stated as a major goal in various international research
projects, especially when involving partners from LMICs or when focusing
on research activities in these countries, we think that research from
established groups and universities particularly in member countries of
the Organisation for Economic Cooperation and Development (OECD),
receives more interest and respect on a disproportionate basis. With the
present submission, we hope to feed the debate on the academic
valorization of research performed by LMICs scholars. Though difficult
to measure, this merits close scrutiny.
Reprint Address:
Van der Stocken, T (reprint author), Vrije Univ Brussel, Lab Plant Biol & Nat Management APNA, Pl Laan 2, B-1050 Brussels, Belgium.
Addresses:
[Van der Stocken, Tom; Deboelpaep, Evelien; Koedam, Nico] Vrije Univ Brussel, Lab Plant Biol & Nat Management APNA, Pl Laan 2, B-1050 Brussels, Belgium.
[Huge, Jean] ULB, Lab Syst Ecol & Resource Management, Ave FD Roosevelt 50,CPI 264-1, B-1050 Brussels, Belgium.
[Vanhove, Maarten P. M.; de Bisthoven, Luc Janssens] Royal Belgian Inst Nat Sci, Operat Directorate Nat Environm, Capac Biodivers & Sustainable Dev, Rue Vautierstr 29, Brussels, Belgium.
[Vanhove, Maarten P. M.] Masaryk Univ, Fac Sci, Dept Bot & Zool, Kotlarska 2, CS-61137 Brno, Czech Republic.
[Vanhove, Maarten P. M.] Univ Leuven, Dept Biol, Lab Biodivers & Evolutionary Genom, Ch Deberiotstr 32, B-3000 Louvain, Belgium.
E-mail Addresses:
tvdstock at gmail.com
Cited Reference Count:
17
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0138-9130
eISSN:
1588-2861
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DK1WM
Unique ID:
WOS:000374705700023
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Title:
How to boost scientific production? A statistical analysis of research funding and other influencing factors
Authors:
Ebadi, A; Schiffauerova, A
Author Full Names:
Ebadi, Ashkan; Schiffauerova, Andrea
Source:
SCIENTOMETRICS, 106 (3):1093-1116; 10.1007/s11192-015-1825-x MAR 2016
Language:
English
Document Type:
Article
Author Keywords:
Statistical analysis, Funding, Research output, NSERC, Canada
KeyWords Plus:
RESEARCH COLLABORATION; RESEARCH PERFORMANCE; UNITED-STATES; IMPACT; SCIENCE; NANOTECHNOLOGY; UNIVERSITIES; INDICATOR; KNOWLEDGE; INSTITUTE
Abstract:
This paper analyzes the impact of several influencing factors on
scientific production of researchers. Time related statistical models
for the period of 1996 to 2010 are estimated to assess the impact of
research funding and other determinant factors on the quantity and
quality of the scientific output of individual funded researchers in
Canadian natural sciences and engineering. Results confirm a positive
impact of funding on the quantity and quality of the publications. In
addition, the existence of the Matthew effect is partially confirmed
such that the rich get richer. Although a positive relation between the
career age and the rate of publications is observed, it is found that
the career age negatively affects the quality of works. Moreover, the
results suggest that young researchers who work in large teams are more
likely to produce high quality publications. We also found that even
though academic researchers produce higher quantity of papers it is the
researchers with industrial affiliation whose work is of higher quality.
Finally, we observed that strategic, targeted and high priority funding
programs lead to higher quantity and quality of publications.
Reprint Address:
Ebadi, A (reprint author), Concordia Univ, CIISE, Montreal, PQ, Canada.
Addresses:
[Ebadi, Ashkan; Schiffauerova, Andrea] Concordia Univ, CIISE, Montreal, PQ, Canada.
[Schiffauerova, Andrea] Masdar Inst Sci & Technol, Dept Engn Syst & Management, Abu Dhabi, U Arab Emirates.
E-mail Addresses:
a_ebad at encs.concordia.ca
Cited Reference Count:
60
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0138-9130
eISSN:
1588-2861
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DK1WM
Unique ID:
WOS:000374705700012
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