[Sigmetrics] Papers of possible interest to readers of the SIG-Metrics List (January 31, 2016)
eugene.garfield at thomsonreuters.com
eugene.garfield at thomsonreuters.com
Sun Jan 31 17:36:30 EST 2016
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Title:
Research Gate: An effective altmetric indicator for active researchers?
Authors:
Yu, MC; Wu, YCJ; Alhalabi, W; Kao, HY; Wu, WH
Author Full Names:
Yu, Min-Chu; Wu, Yen-Chun Jim; Alhalabi, Wadee; Kao, Hao-Yun; Wu,
Wen-Hsiung
Source:
COMPUTERS IN HUMAN BEHAVIOR, 55 1001-1006; 10.1016/j.chb.2015.11.007 B FEB 2016
Language:
English
Document Type:
Article
Author Keywords:
Supply chain management, ResearchGate, Social media, SciVal, Altmetrics
KeyWords Plus:
BIBLIOMETRIC INDICATORS; ONLINE COMMUNITIES; RESEARCH OUTPUT; IMPACT FACTOR; INDEX; JOURNALS
Abstract:
As research performance becomes increasingly important for academic
institutions in competition for rankings, student recruitment, and
funding, many performance indicators have been developed to measure
various aspects of research performance. ResearchGate combines
bibliometrics and altmetrics to create a more comprehensive performance
measure for researchers and institutions. The ResearchGate score, the
flagship indicator calculated by an undisclosed algorithm, is a metric
that measure scientific reputation. In this research, ResearchGate
metrics are firstly compared with those that Research Excellence
Framework (REF) and Quacquarelli Symonds (QS) World University Rankings
to assess the quality of UK universities and global universities
respectively. This study then utilizes correlation analysis to examine
whether ResearchGate metrics demonstrate effectiveness on the researcher
level in comparison with SciVal metrics. For this research, 300
ResearchGate members from the supply chain management field were
selected. The results provide empirical evidence that demonstrate that
the ResearchGate score can be an effective indicator for measuring
individual researcher performance. (C) 2015 Elsevier Ltd. All rights
reserved.
Reprint Address:
Wu, YCJ (reprint author), Natl Taiwan Normal Univ, Grad Inst Global Business & Strategy, 31 Shida Rd, Taipei 10645, Taiwan.
Addresses:
[Yu, Min-Chu] Natl Kaohsiung Univ Appl Sci, Dept Business Adm, Kaohsiung 807, Taiwan.
[Wu, Yen-Chun Jim] Natl Taiwan Normal Univ, Grad Inst Global Business & Strategy, Taipei 10645, Taiwan.
[Alhalabi, Wadee] King Abdulaziz Univ, Dept Comp Sci, Jeddah 21413, Saudi Arabia.
[Kao, Hao-Yun; Wu, Wen-Hsiung] Kaohsiung Med Univ, Dept Healthcare Adm & Med Informat, Kaohsiung 807, Taiwan.
E-mail Addresses:
yminchun at cc.kuas.edu.tw; wuyenchun at gmail.com; wsalhalabi at kau.edu.sa; haoyun at kmu.edu.tw; whwu at kmu.edu.tw
Funding Acknowledgement:
Ministry of Science & Technology, Taiwan [MOST 104-2511-S-003 -031 -MY3]
Funding Text:
This work is supported by Ministry of Science & Technology, Taiwan (MOST 104-2511-S-003 -031 -MY3).
Cited Reference Count:
34
Times Cited:
0
Publisher:
PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
ISSN:
0747-5632
eISSN:
1873-7692
Web of Science Categories:
Psychology, Multidisciplinary; Psychology, Experimental
Research Areas:
Psychology
IDS Number:
DA4FM
Unique ID:
WOS:000367755500042
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Title:
Power quality techniques research worldwide: A review
Authors:
Montoya, FG; Garcia-Cruz, A; Montoya, MG; Manzano-Agugliaro, F
Author Full Names:
Montoya, Francisco G.; Garcia-Cruz, Amos; Montoya, Maria G.;
Manzano-Agugliaro, Francisco
Source:
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 54 846-856; 10.1016/j.rser.2015.10.091 FEB 2016
Language:
English
Document Type:
Review
Author Keywords:
Bibliometric, Power quality, Scientometric, Computer science, Research trends
KeyWords Plus:
S-TRANSFORM; GENETIC ALGORITHM; WAVELET TRANSFORM; CLASSIFICATION; DISTURBANCES; ENERGY; WIND; OPTIMIZATION; SYSTEMS; NETWORKS
Abstract:
In this study, a detailed analysis of research on the subject of power
quality published during the period from 1970 to 2013 is presented;
Elsevier's Scopus database was used as a reference, and bibliometric
analysis techniques were employed. All materials reported in Scopus have
been included. Different aspects of these publications have been
studied, such as the publication type, subject, language, sub-categories
and journal type and the frequency with which the keywords were found.
An analysis of the use of techniques such as heuristic optimisation,
artificial intelligence and signal processing was also conducted within
the framework of power quality. The keywords harmonics, active filter,
voltage sag, distributed generation and wavelet transform were verified
as the most commonly used terms other than the term power quality. The
contributions were categorised geographically and by institution; China,
USA and India were the main contributing countries, and the IEEE, the
Indian Institute of Technology, and the North China Electric Power
University were the main contributing research institutions. The most
active categories in the fields of optimisation, artificial intelligence
and signal processing were Genetic Algorithms and Particle Swarm
Optimisation, Neural Network and Fuzzy Logic and Wavelet Transform and
Fourier Analysis, respectively. This scientific publication
analysis-based methodology presents new perspectives with respect to the
research trends of the international scientific community. (C) 2015
Elsevier Ltd. All rights reserved.
Reprint Address:
Montoya, FG (reprint author), Univ Almeria, Dept Engn, CEIA3, Almeria 04120, Spain.
Addresses:
[Montoya, Francisco G.; Garcia-Cruz, Amos; Manzano-Agugliaro, Francisco] Univ Almeria, Dept Engn, Almeria 04120, Spain.
[Montoya, Maria G.] Univ Almeria, Dept Informat, Almeria 04120, Spain.
E-mail Addresses:
pagilm at ual.es; amos at ual.es; dgil at ual.es; fmanzano at ual.es
Funding Acknowledgement:
Government of Andalusia [P10-RNM-6349, P145096]
Funding Text:
This work has been supported by the Government of Andalusia through the Project of Excellence "Analysis of electric power quality using smart meters. Optimisation and savings in the production and residential sector in Andalusia (P10-RNM-6349)", and the Project for Applied Knowledge "Analysis and monitoring of electrical power quality using low cost smart meters to save energy (P145096)".
Cited Reference Count:
51
Times Cited:
0
Publisher:
PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
ISSN:
1364-0321
Web of Science Categories:
Energy & Fuels
Research Areas:
Energy & Fuels
IDS Number:
DA4GM
Unique ID:
WOS:000367758200062
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Title:
An overview of animal science research 1945-2011 through science mapping analysis
Authors:
Rodriguez-Ledesma, A; Cobo, MJ; Lopez-Pujalte, C; Herrera-Viedma, E
Author Full Names:
Rodriguez-Ledesma, A.; Cobo, M. J.; Lopez-Pujalte, C.; Herrera-Viedma,
E.
Source:
JOURNAL OF ANIMAL BREEDING AND GENETICS, 132 (6):475-497; 10.1111/jbg.12124 DEC 2015
Language:
English
Document Type:
Article
Author Keywords:
Animal science, bibliometric network, coword analysis, h-index, knowledge visualisation, science mapping analysis
KeyWords Plus:
CO-WORD ANALYSIS; DAIRY-COWS; BIBLIOMETRIC ANALYSIS; MICROBIAL PHYTASE; RESEARCH PERFORMANCE; ESTROUS CYCLES; HIGH-LEVEL; CATTLE; GROWTH; MILK
Abstract:
The conceptual structure of the field of Animal Science (AS) research is
examined by means of a longitudinal science mapping analysis. The whole
of the AS research field is analysed, revealing its conceptual
evolution. To this end, an automatic approach to detecting and
visualizing hidden themes or topics and their evolution across a
consecutive span of years was applied to AS publications of the JCR
category 'Agriculture, Dairy & Animal Science' during the period
1945-2011. This automatic approach was based on a coword analysis and
combines performance analysis and science mapping. To observe the
conceptual evolution of AS, six consecutive periods were defined:
1945-1969, 1970-1979, 1980-1989, 19901999, 2000-2005 and 2006-2011.
Research in AS was identified as having focused on ten main thematic
areas: ANIMAL-FEEDING, SMALL-RUMINANTS, ANIMAL-REPRODUCTION,
DAIRY-PRODUCTION, MEAT-QUALITY, SWINE-PRODUCTION,
GENETICS-AND-ANIMAL-BREEDING, POULTRY, ANIMAL-WELFARE and
GROWTH-FACTORS-AND-FATTY-ACIDS. The results show how genomic studies
gain in weight and integrate with other thematic areas. The whole of AS
research has become oriented towards an overall framework in which
animal welfare, sustainable management and human health play a major
role. All this would affect the future structure and management of
livestock farming.
Reprint Address:
Rodriguez-Ledesma, A (reprint author), Univ Extremadura, Dept Anim Prod & Food Sci, Badajoz 06051, Spain.
Addresses:
[Rodriguez-Ledesma, A.] Univ Extremadura, Dept Anim Prod & Food Sci, Badajoz 06051, Spain.
[Cobo, M. J.] Univ Cadiz, Dept Comp Sci, Cadiz, Spain.
[Lopez-Pujalte, C.] Univ Extremadura, Dept Informat & Commun, Badajoz 06051, Spain.
[Herrera-Viedma, E.] Univ Granada, Dept Comp Sci & Artificial Intelligence, CITIC UGR Res Ctr Informat & Commun Technol, Granada, Spain.
E-mail Addresses:
rledesma at unex.es
Cited Reference Count:
100
Times Cited:
0
Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
ISSN:
0931-2668
eISSN:
1439-0388
Web of Science Categories:
Agriculture, Dairy & Animal Science
Research Areas:
Agriculture
IDS Number:
DA3FP
Unique ID:
WOS:000367682700009
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*Order Full Text [ ]
Title:
Past, current and future of biomass energy research: A bibliometric analysis
Authors:
Mao, GZ; Zou, HY; Chen, GY; Du, HB; Zuo, J
Author Full Names:
Mao, Guozhu; Zou, Hongyang; Chen, Guanyi; Du, Huibin; Zuo, Jian
Source:
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 52 1823-1833; 10.1016/j.rser.2015.07.141 DEC 2015
Language:
English
Document Type:
Review
Author Keywords:
Biomass energy, Renewable energy, Bibliometrics, Social Network Analysis
KeyWords Plus:
GREENHOUSE-GAS EMISSIONS; LIGNOCELLULOSIC BIOMASS; POWER-GENERATION; WHEAT-STRAW; RESOURCES; PRETREATMENT; PERFORMANCE; CHINA; INDEX; FERMENTATION
Abstract:
This paper characterizes the body of knowledge on biomass energy from
1998 to 2013 by employing bibliometric techniques based on the Science
Citation Index (SCI) databases of the Web of Science. Results showed
that journal articles were the most frequently used document type
representing 84.1% of the records. 33,072 articles were analyzed on
various aspects of the publication characteristics such as authorship,
countries, institutions, high-cited papers, and keywords. The pace of
publishing in this field increased rapidly over last 16 years, with the
US accounting for the highest h-index (137) and the most publications
(8228), followed by China and India. The US also plays a central role in
the collaboration network among the most productive countries. The
Chinese Academy of Science was the organization with the most records
(639). Similarly, the University of Illinois is central to the
collaboration network. The hot spots of biomass energy related
researches were transiting from physical conversion (6511 articles) to
thermal chemical conversion (10,989) and biochemical (10,877).The
bioenergy application (18,607) has become a main focus of current
researches related to biomass energy. This topic mainly addresses
biodiesel, biogas, biohydrogen, biofuel cell and so on. By identifying
global hotspots in biomass energy research, this study is beneficial for
researchers, e.g. the selection of future research topics. Similarly,
policy makers will learn from the findings of this analysis with a good
understanding of the status quo of biomass energy development. (c) 2015
Elsevier Ltd. All rights reserved.
Reprint Address:
Chen, GY (reprint author), Tibet Univ, Sch Sci, Lhasa 850012, Tibet Autonomou, Peoples R China.
Addresses:
[Mao, Guozhu] Tianjin Univ, Sch Environm Sci & Engn, Tianjin Key Lab Indoor Air Environm Qual Control, Tianjin 300072, Peoples R China.
[Chen, Guanyi] Tibet Univ, Sch Sci, Lhasa 850012, Tibet Autonomou, Peoples R China.
[Zou, Hongyang; Chen, Guanyi] Tianjin Univ, Sch Environm Sci & Engn, Tianjin 300072, Peoples R China.
[Zou, Hongyang; Du, Huibin] Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China.
[Zuo, Jian] Univ Adelaide, Sch Architecture & Built Environm, ECIC, Adelaide, SA, Australia.
E-mail Addresses:
maoguozhu at tju.edu.cn; chen at tju.edu.cn
Funding Acknowledgement:
National Natural Sciences Foundation of China [71273185, 51306131]; National Science & Technology Pillar Program [2014BAC26B00]; National Social Science Foundation of China [12ZD208]
Funding Text:
The authors would like to thank anonymous referees and editors for their helpful comments and valuable suggestions, which substantially improved the content and composition of the present article. This study was supported by the National Natural Sciences Foundation of China under Grant 71273185 and 51306131, the National Science & Technology Pillar Program under Grant 2014BAC26B00 and the National Social Science Foundation of China under Grant 12&ZD208.
Cited Reference Count:
54
Times Cited:
0
Publisher:
PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
ISSN:
1364-0321
Web of Science Categories:
Energy & Fuels
Research Areas:
Energy & Fuels
IDS Number:
DA4GI
Unique ID:
WOS:000367757800150
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Title:
Are top-cited papers more interdisciplinary?
Authors:
Chen, SJ; Arsenault, C; Lariviere, V
Author Full Names:
Chen, Shiji; Arsenault, Clement; Lariviere, Vincent
Source:
JOURNAL OF INFORMETRICS, 9 (4):1034-1046; 10.1016/j.joi.2015.09.003 OCT 2015
Language:
English
Document Type:
Article
Author Keywords:
Interdisciplinarity, Percentile rank classes, Citation distribution, Top cited papers
KeyWords Plus:
MULTIDISCIPLINARY RESEARCH; SCIENTIFIC IMPACT; SCIENCE; COLLABORATION; ORGANIZATION; INNOVATION; DIVERSITY; INDICATOR; KNOWLEDGE; FRAMEWORK
Abstract:
Over the last decade, the relationship between interdisciplinarity and
scientific impact has been the focus of many bibliometric papers, with
diverging results. This paper aims at contributing to this body of
research, by analyzing the level of interdisciplinarity, compiled with
the Simpson Index, of the top 1% most highly cited papers and of papers
with lower citation percentile ranks. Results shows that the top 1% most
cited papers exhibit higher levels of interdisciplinarity than papers in
other citation rank classes and that this relationship is observed in
more than 90% of NSF specialties. This suggests that interdisciplinary
research plays a more important role in generating high impact
knowledge. (C) 2015 Elsevier Ltd. All rights reserved.
Reprint Address:
Arsenault, C (reprint author), Univ Montreal, Ecole Bibliothecon & Sci Informat, CP 6128,Succ Ctr Ville, Montreal, PQ H3C 3J7, Canada.
Addresses:
[Chen, Shiji] China Agr Univ Lib, Beijing, Peoples R China.
[Arsenault, Clement] Univ Montreal, Ecole Bibliothecon & Sci Informat, Montreal, PQ H3C 3J7, Canada.
[Lariviere, Vincent] Univ Montreal, Ecole Bibliothecon & Sci Informat, Montreal, PQ, Canada.
[Lariviere, Vincent] Univ Quebec, OST, CIRST, Montreal, PQ H3C 3P8, Canada.
E-mail Addresses:
shiji.chen at outlook.com; clement.arsenault at umontreal.ca; vincent.lariviere at umontreal.ca
Funding Acknowledgement:
Youth Foundation for Humanities and Social Sciences of Ministry of Education of China [13YJC870001]; National Social Science Foundation of China [15BTQ070]; Fonds Recherche Quebec-Societe et Culture
Funding Text:
This study is partly funded by the Youth Foundation for Humanities and Social Sciences of Ministry of Education of China (No. 13YJC870001), the National Social Science Foundation of China (No. 15BTQ070) and the Fonds Recherche Quebec-Societe et Culture. We also thank the two anonymous referees for their useful comments and suggestions.
Cited Reference Count:
79
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DA2GF
Unique ID:
WOS:000367612600027
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Title:
Field-normalized citation impact indicators and the choice of an appropriate counting method
Authors:
Waltman, L; van Eck, NJ
Author Full Names:
Waltman, Ludo; van Eck, Nees Jan
Source:
JOURNAL OF INFORMETRICS, 9 (4):872-894; 10.1016/j.joi.2015.08.001 OCT 2015
Language:
English
Document Type:
Article
Author Keywords:
Citation analysis, Counting method, Field normalization, Fractional counting, Full counting
KeyWords Plus:
MULTIPLE AUTHORSHIP; SCIENTIFIC-RESEARCH; H-INDEX; PUBLICATION; PRODUCTIVITY; OUTPUT
Abstract:
Bibliometric studies often rely on field-normalized citation impact
indicators in order to make comparisons between scientific fields. We
discuss the connection between field normalization and the choice of a
counting method for handling publications with multiple co-authors. Our
focus is on the choice between full counting and fractional counting.
Based on an extensive theoretical and empirical analysis, we argue that
properly field-normalized results cannot be obtained when full counting
is used. Fractional counting does provide results that are properly
field normalized. We therefore recommend the use of fractional counting
in bibliometric studies that require field normalization, especially in
studies at the level of countries and research organizations. We also
compare different variants of fractional counting. In general, it seems
best to use either the author-level or the address-level variant of
fractional counting. (C) 2015 Elsevier Ltd. All rights reserved.
Reprint Address:
van Eck, NJ (reprint author), Leiden Univ, Ctr Sci & Technol Studies, POB 905, NL-2300 AX Leiden, Netherlands.
Addresses:
[Waltman, Ludo; van Eck, Nees Jan] Leiden Univ, Ctr Sci & Technol Studies, NL-2300 AX Leiden, Netherlands.
E-mail Addresses:
waltmanlr at cwts.leidenuniv.nl; ecknjpvan at cwts.leidenuniv.nl
Cited Reference Count:
37
Times Cited:
1
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DA2GF
Unique ID:
WOS:000367612600015
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Leydesdorff L., Journal of the Association for Information Science and Technology,
Franceschet Massimo, 2010, JOURNAL OF INFORMETRICS, V4, P540
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========================================================================
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*Order Full Text [ ]
Title:
On a formula for the h-index
Authors:
Bertoli-Barsotti, L; Lando, T
Author Full Names:
Bertoli-Barsotti, Lucio; Lando, Tommaso
Source:
JOURNAL OF INFORMETRICS, 9 (4):762-776; 10.1016/j.joi.2015.07.004 OCT 2015
Language:
English
Document Type:
Article
Author Keywords:
h Index, Citation data, Citation statistic, Geometric distribution, Lambert W function
KeyWords Plus:
HIRSCH-TYPE INDEXES; CITATION DISTRIBUTIONS; LOTKAIAN INFORMETRICS; SCIENTIFIC IMPACT; STATISTICS; JOURNALS; POWER; UNIVERSALITY; INDICATORS; BEHAVIOR
Abstract:
The h-index is a celebrated indicator widely used to assess the quality
of researchers and organizations. Empirical studies support the fact
that the h-index is well correlated with other simple bibliometric
indicators, such as the total number of publications Nand the total
number of citations C. In this paper we introduce a new formula (h) over
tilde (w) = (h) over tilde (w) (N, C, C-MAX), as a representative
predictive formula that relates functionally h to these aggregate
indicators, N, C and the highest citation count C-MAX. The formula is
based on the 'specific' assumption of geometrically distributed
citations, but provides a good estimate of the h-index for the general
case. To empirically evaluate the adequacy of the fit of the proposed
formula (h) over tilde (w), an empirical study with 131 datasets (13,347
papers; 288,972 citations) was carried out. The overall fit (defined as
the capacity of (h) over tilde (w) to reproduce the true value of h, for
each single scientist) was remarkably accurate. The predicted value was
within one of the actual value h for more than 60% of the datasets. We
found, in approximately three cases out of four, an absolute error less
than or equal to 2, and an average absolute error of only 1.9, for the
whole sample of datasets. (C) 2015 Elsevier Ltd. All rights reserved.
Reprint Address:
Bertoli-Barsotti, L (reprint author), Univ Bergamo, Dept Management Econ & Quantitat Methods, Via Caniana 2, I-24127 Bergamo, Italy.
Addresses:
[Bertoli-Barsotti, Lucio] Univ Bergamo, Dept Management Econ & Quantitat Methods, I-24127 Bergamo, Italy.
[Lando, Tommaso] VSB TU Ostrava, Dept Finance, Ostrava 70121, Czech Republic.
E-mail Addresses:
lucio.bertoli-barsotti at unibg.it
Funding Acknowledgement:
Italian funds ex MURST; Czech Science Foundation (GACR) [15-23699S]; SGS research project of VSB-TU Ostrava [SP2015/15]; European Social Fund [CZ.1.07/2.3.00/20.0296]
Funding Text:
This paper has been supported in part by the Italian funds ex MURST 60% 2015 and in part through the Czech Science Foundation (GACR) under project 15-23699S, through SP2015/15, an SGS research project of VSB-TU Ostrava, and furthermore by the European Social Fund in the framework of CZ.1.07/2.3.00/20.0296.
Cited Reference Count:
63
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DA2GF
Unique ID:
WOS:000367612600007
Cited References:
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Prathap Gangan, 2010, SCIENTOMETRICS, V84, P167
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Prathap G., 2014, Journal of the Association for Information Science and Technology, V65, P426
Redner S, 1998, EUROPEAN PHYSICAL JOURNAL B, V4, P131
Van Raan AFJ, 2006, SCIENTOMETRICS, V67, P491
Egghe L, 2005, POWER LAWS IN THE INFORMATION PRODUCTION PROCESS: LOTKAIAN INFORMETRICS, P1
Rousseau Brendan, 2000, Cybermetrics, V4, P1
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Radicchi Filippo, 2008, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V105, P17268
Glaenzel Wolfgang, 2007, JOURNAL OF INFORMETRICS, V1, P92
Ye Fred Y., 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P205
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========================================================================
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Title:
Further axiomatizations of Egghe's g-index
Authors:
Adachi, T; Kongo, T
Author Full Names:
Adachi, Tsuyoshi; Kongo, Takumi
Source:
JOURNAL OF INFORMETRICS, 9 (4):839-844; 10.1016/j.joi.2015.07.001 OCT 2015
Language:
English
Document Type:
Article
Author Keywords:
Axiomatization, Egghe's g-index, Citation, Tail independence, Square monotonicity, Increasing marginal citation
KeyWords Plus:
HIRSCH-INDEX
Abstract:
We provide three axiomatic characterizations of Egghe's g-index, which
measures a researcher's scientific output based on the number of papers
the researcher has published and the number of citations of each of the
researcher's papers. We formulate six new axioms for indexes, namely,
tail independence (TA), square monotonicity (SM), the cap condition
(CC), strong square monotonicity (SSM), increasing marginal citations
(IMC), and increasing marginal citations+ (IMC+). Along with the two
well-known axioms T1 and T2 (Woeginger, 2008a), the g-index is
characterized by (i) T1, T2, TA, SM, and CC, (ii) T1, T2, TA, SSM, and
IMC, and (iii) T1, TA, SM, and IMC+. Two out of three characterizations
are obtained by adding axioms to our new characterization of the class
of indexes satisfying TI, T2, and TA, which are defined as
generalizations of the g-index. Thus, the remaining four axioms in our
first and second characterizations SM, CC, SSM, and IMC distinguish the
original g-index from other related indexes in the class. Furthermore,
the independence of our axioms and that of Woeginger's study is shown.
(C) 2015 Elsevier Ltd. All rights reserved.
Reprint Address:
Kongo, T (reprint author), Fukuoka Univ, Fac Econ, Jonan Ku, 8-19-1 Nanakuma, Fukuoka 8140180, Japan.
Addresses:
[Adachi, Tsuyoshi] Takasaki City Univ Econ, Fac Econ, Takasaki, Gunma 3700801, Japan.
[Kongo, Takumi] Fukuoka Univ, Fac Econ, Jonan Ku, Fukuoka 8140180, Japan.
E-mail Addresses:
kongo at adm.fukuoka-u.ac.jp
Funding Acknowledgement:
Japan Society for the Promotion of Science KAKENHI [25780139, 15K17031]
Funding Text:
The authors are grateful to the editor and the anonymous referees for their comments and suggestions. Remaining errors are our own. This study is supported by the Japan Society for the Promotion of Science KAKENHI grant number 25780139 (Adachi), 15K17031 (Kongo).
Cited Reference Count:
11
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DA2GF
Unique ID:
WOS:000367612600012
Cited References:
Quesada Antonio, 2010, SCIENTOMETRICS, V82, P413
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
Quesada Antonio, 2009, JOURNAL OF INFORMETRICS, V3, P158
Quesada Antonio, 2011, SCIENTOMETRICS, V87, P107
Woeginger Gerhard J., 2008, MATHEMATICAL SOCIAL SCIENCES, V56, P224
Woeginger Gerhard J., 2008, JOURNAL OF INFORMETRICS, V2, P298
Kongo Takumi, 2014, JOURNAL OF INFORMETRICS, V8, P252
Quesada Antonio, 2011, JOURNAL OF INFORMETRICS, V5, P476
Woeginger Gerhard J., 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P1267
Egghe L., 2006, ISSI Newsletter, P8
Woeginger Gerhard J., 2008, JOURNAL OF INFORMETRICS, V2, P364
========================================================================
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Title:
Interpolated sub-impact factor (SIF) sequences for journal rankings
Authors:
Rousseau, R; Xu, F; Liu, WB
Author Full Names:
Rousseau, Ronald; Xu, Fang; Liu, Wenbin
Source:
JOURNAL OF INFORMETRICS, 9 (4):907-914; 10.1016/j.joi.2015.09.002 OCT 2015
Language:
English
Document Type:
Article
Author Keywords:
Journal evaluation, Sub-impact factor, SIF-sequences, Aggregated SIF-indicator, Interpolated indicators
KeyWords Plus:
INDEX
Abstract:
In a previous publication the journal sub-impact factor denoted as SIF,
and derived sub-impact sequences have been introduced. Their calculation
included a discrete step. Now we adapt this scheme to include an
interpolation procedure. A mathematical proof is given showing that
anomalies that may happen in the discrete approach cannot happen anymore
in the interpolated approach. (C) 2015 Elsevier Ltd. All rights
reserved.
Reprint Address:
Xu, F (reprint author), Chinese Acad Sci, Inst Policy & Management, Beijing 100190, Peoples R China.
Addresses:
[Rousseau, Ronald] Katholieke Univ Leuven, Dept Math, Leuven, Belgium.
[Rousseau, Ronald] Univ Antwerp, IBW, B-2000 Antwerp, Belgium.
[Xu, Fang] Chinese Acad Sci, Inst Policy & Management, Beijing 100190, Peoples R China.
[Liu, Wenbin] Univ Kent, Kent Business Sch, Canterbury CT2 7NZ, Kent, England.
E-mail Addresses:
ronald.rousseau at kuleuven.be; xufang at casipm.ac.cn; w.b.liu at kent.ac.uk
Funding Acknowledgement:
NSFC [71173154, 71173185, 71201159]
Funding Text:
The authors thank two anonymous reviewers and editor-in-chief Ludo Waltman for helpful suggestions to improve the article. Work of Ronald Rousseau is supported by the NSFC under grants no. 71173154 and 71173185. He also thanks Yan Sulan and Huang Shuiqing (Nanjing Agricultural University) and Hu Xiaojun (Zhejiang University) for their hospitality during RR's stay, when some of the results presented here have been achieved.Work of Fang Xu is supported by the NSFC under grant no. 71201159.
Cited Reference Count:
17
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DA2GF
Unique ID:
WOS:000367612600017
Cited References:
Xu Fang, 2013, Journal of the China Society for Scientific and Technical Information, V32,
Van Fleet DD, 2000, JOURNAL OF MANAGEMENT, V26, P839
Kurmis AP, 2006, ACADEMIC RADIOLOGY, V13, P77
Rousseau Ronald, 2014, ASLIB JOURNAL OF INFORMATION MANAGEMENT, V66, P2
Rousseau R., 2012, Journal of Scientometric Research, V1, P22
Leydesdorff Loet, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P2133
Liang L. M., 2009, ISSI 2009: 12th international conference on Scientometrics and Informetrics, P143
Haustein S., 2012, Multidimensional Journal Evaluation: Analyzing Scientific Periodicals beyond the Impact Factor,
Brumback RA, 2004, JOURNAL OF CHILD NEUROLOGY, V19, P290
Rousseau R., 2006, E-LIS: ID 6153,
Aarssen L. W., 2008, The Open Ecology Journal, V1, P14
Liu Yuxian, 2009, SCIENTOMETRICS, V79, P235
Cahn E. S., 2014, International Journal of Information System in the Service Sector, V6, P92
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Title:
Bibliometric indicators: opportunities and limits
Authors:
Belter, CW
Author Full Names:
Belter, Christopher W.
Source:
JOURNAL OF THE MEDICAL LIBRARY ASSOCIATION, 103 (4):219-221; 10.3163/1536-5050.103.4.014 OCT 2015
Language:
English
Document Type:
Editorial Material
Author Keywords:
Bibliometrics, Program Evaluation, Research Personnel/Statistics and Numerical Data, Research/Organization and Administration, Peer Review, Research
KeyWords Plus:
IMPACT FACTOR; CITATION
Reprint Address:
Belter, CW (reprint author), NIH, NIH Lib, Bldg 10, Bethesda, MD 20892 USA.
Addresses:
[Belter, Christopher W.] NIH, NIH Lib, Bethesda, MD 20892 USA.
E-mail Addresses:
christopher.belter at nih.gov
Cited Reference Count:
17
Times Cited:
0
Publisher:
MEDICAL LIBRARY ASSOC, 65 EAST WACKER PLACE, STE 1900, CHICAGO, IL 60601-7298 USA
ISSN:
1536-5050
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DA3HB
Unique ID:
WOS:000367686700015
PubMed ID:
26512227
Cited References:
Haustein S, 2015, Incentives and performance, P121
Mingers J, 2015, arXiv: 1501.05462v2,
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========================================================================
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Title:
Quality versus quantity in scientific impact
Authors:
Kaur, J; Ferrara, E; Menczer, F; Flammini, A; Radicchi, F
Author Full Names:
Kaur, Jasleen; Ferrara, Emilio; Menczer, Filippo; Flammini, Alessandro;
Radicchi, Filippo
Source:
JOURNAL OF INFORMETRICS, 9 (4):800-808; 10.1016/j.joi.2015.07.008 OCT 2015
Language:
English
Document Type:
Article
Author Keywords:
Citation analysis, Scientific impact, Research evaluation, Quality, Quantity
KeyWords Plus:
CITATION ANALYSIS; SCIENCE; INDEX; UNIVERSALITY; JOURNALS
Abstract:
Citation metrics are becoming pervasive in the quantitative evaluation
of scholars, journals, and institutions. Hiring, promotion, and funding
decisions increasingly rely on a variety of impact metrics that cannot
disentangle quality from quantity of scientific output, and are biased
by factors such as discipline and academic age. Biases affecting the
evaluation of single papers are compounded when one aggregates
citation-based metrics across an entire publication record. It is not
trivial to compare the quality of two scholars that during their careers
have published at different rates, in different disciplines, and in
different periods of time. Here we evaluate a method based on the
generation of a statistical baseline specifically tailored on the
academic profile of each researcher. We demonstrate the effectiveness of
the approach in decoupling the roles of quantity and quality of
publications to explain how a certain level of impact is achieved. The
method can be extended to simultaneously suppress any source of bias. As
an illustration, we use it to capture the quality of the work of Nobel
laureates irrespective of number of publications, academic age, and
discipline, even when traditional metrics indicate low impact in
absolute terms. The procedure is flexible enough to allow for the
evaluation of, and fair comparison among, arbitrary collections of
papers - scholar publication records, journals, and institutions; in
fact, it extends a similar technique that was previously applied to the
ranking of research units and countries in specific disciplines
(Crespo), Ortuno-Orti, & Ruiz-Castillo, 2012). We further apply the
methodology to almost a million scholars and over six thousand journals
to measure the impact that cannot be explained by the volume of
publications alone. (C) 2015 Elsevier Ltd. All rights reserved.
Reprint Address:
Radicchi, F (reprint author), Indiana Univ, Sch Informat & Comp, Ctr Complex Networks & Syst Res, Bloomington, IN 47405 USA.
Addresses:
[Kaur, Jasleen; Ferrara, Emilio; Menczer, Filippo; Flammini, Alessandro; Radicchi, Filippo] Indiana Univ, Sch Informat & Comp, Ctr Complex Networks & Syst Res, Bloomington, IN 47405 USA.
E-mail Addresses:
filiradi at indiana.edu
Funding Acknowledgement:
NSF [SMA-1446078, CCF-1101743]; J.S. McDonnell Foundation [220020274]
Funding Text:
We are grateful to anonymous referees for constructive criticism and especially for bringing to our attention the closely related work by Crespo et al. (Crespo et al. 2012). We also acknowledge helpful discussions with current and past members of the Center for Complex Networks and System Research at Indiana University (cnets.indiana.edu). This work is supported in part by NSF (grants SMA-1446078 and CCF-1101743) and the J.S. McDonnell Foundation (grant 220020274).
Cited Reference Count:
34
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DA2GF
Unique ID:
WOS:000367612600009
Cited References:
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Title:
On the stability of citation-based journal rankings
Authors:
Pajic, D
Author Full Names:
Pajic, Dejan
Source:
JOURNAL OF INFORMETRICS, 9 (4):990-1006; 10.1016/j.joi.2015.08.005 OCT 2015
Language:
English
Document Type:
Article
Author Keywords:
Journal rankings, Journal evaluation, Journal impact measures, Ranking stability
KeyWords Plus:
SOCIAL-SCIENCES; IMPACT FACTOR; RESEARCH OUTPUT; HUMANITIES; QUALITY; INDICATOR; ECONOMICS; COUNTS; PLACE
Abstract:
The article presents a large-scale comparison of journal rankings based
on seven impact measures: Impact Factor (2- and 5-year), SJR, IPP, SNIP,
H index, and Article Influence Score. Three aspects of ranking stability
in the 2007-2014 period were analyzed: temporal, cross-discipline, and
cross-indicator. Impact measures based on five-year citation windows
enable more stable journal rankings over time. Journal rankings based on
the source-normalized indicator (SNIP) have the largest cross-discipline
stability. Journals in the fields of social sciences and humanities have
lower temporal and cross-discipline ranking stability compared to those
in "hard" sciences. Although correlation coefficients indicate
relatively high agreement among the rankings based on different
indicators, variations in quartile and percentile ranks suggest
different conclusions. WoS journals almost linearly improve their
ranking positions in Scopus lists, while many high-impact journals
covered by Scopus are not available in WoS. An important element of the
ranking stability is the discriminability of impact measures. Beyond the
segregation between the top and bottom ranked journals, our assessment
of "quality" relies in most cases on a rather arguable assumption that a
couple of citations more or less is making a big difference. (C) 2015
Elsevier Ltd. All rights reserved.
Reprint Address:
Pajic, D (reprint author), Univ Novi Sad, Fac Philosophy, Dept Psychol, Dr Zorana Dindica 2, Novi Sad 21000, Serbia.
Addresses:
[Pajic, Dejan] Univ Novi Sad, Fac Philosophy, Dept Psychol, Novi Sad 21000, Serbia.
E-mail Addresses:
dpajic at ff.uns.ac.rs
Cited Reference Count:
55
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DA2GF
Unique ID:
WOS:000367612600024
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========================================================================
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Title:
Author ranking based on personalized Page Rank
Authors:
Nykl, M; Campr, M; Jezek, K
Author Full Names:
Nykl, Michal; Campr, Michal; Jezek, Karel
Source:
JOURNAL OF INFORMETRICS, 9 (4):777-799; 10.1016/j.joi.2015.07.002 OCT 2015
Language:
English
Document Type:
Article
Author Keywords:
Citation analysis, Author ranking, PageRank, h-Index, Impact Factor, ISI Web of Science
KeyWords Plus:
CITATION NETWORKS; BIBLIOGRAPHIC NETWORKS; COCITATION NETWORKS; WEB SEARCH; PUBLICATIONS; ALGORITHM; CONSEQUENCES; JOURNALS; SCIENCE; IMPACT
Abstract:
In this paper we evaluate citation networks of authors, publications and
journals, constructed from the 151 Web of Science database (Computer
Science categories). Our aim was to find a method with which to rank
authors of scientific papers so that the most important occupy the top
positions. We utilized a hand-made list of authors, each of whom have
received an ACM Fellowship or have been awarded by an ACM SIG
(Artificial Intelligence or Hardware categories). The developed method
also included the adoption of the PageRank algorithm, which can be
considered a measure of prestige, as well as other measures of
significance (h-index, publication count, citation count, publication's
author count), with these measures analyzed regarding their influence on
the final rankings.
Our main objective, to determine whether a better author ranking can be
obtained using journal values, was achieved. The best of our author
ranking systems was obtained by using journal impact values in PageRank,
which was applied to a citation network of publications. The
effectiveness of the ranking system was confirmed after calculations
were carried out involving authors who were awarded after the final year
used in our dataset or who were awarded in selected categories. (C) 2015
Elsevier Ltd. All rights reserved.
Reprint Address:
Nykl, M (reprint author), Univ W Bohemia, Dept Comp Sci & Engn, Univ 8, Plzen 30614, Czech Republic.
Addresses:
[Nykl, Michal; Campr, Michal; Jezek, Karel] Univ W Bohemia, Dept Comp Sci & Engn, Plzen 30614, Czech Republic.
E-mail Addresses:
nyklm at kiv.zcu.cz; mcampr at kiv.zcu.cz; jezek_ka at kiv.zcu.cz
Funding Acknowledgement:
UWB [SGS-2013-029]
Funding Text:
This work was supported by UWB grant SGS-2013-029 Advanced Computer and Information Systems.
Cited Reference Count:
41
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DA2GF
Unique ID:
WOS:000367612600008
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========================================================================
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Title:
Unravelling the performance of individual scholars: Use of Canonical Biplot analysis to explore the performance of scientists by academic rank and scientific field
Authors:
Diaz-Faes, AA; Costas, R; Galindo, MP; Bordons, M
Author Full Names:
Diaz-Faes, Adrian A.; Costas, Rodrigo; Purificacion Galindo, M.;
Bordons, Maria
Source:
JOURNAL OF INFORMETRICS, 9 (4):722-733; 10.1016/j.joi.2015.04.006 OCT 2015
Language:
English
Document Type:
Article
Author Keywords:
Canonical Biplot, Multivariate analysis, Bibliometrics, Individual-level, Academic rank
KeyWords Plus:
AUTHORSHIP; PUBLICATIONS; INDICATORS; INDEX; RESEARCHERS; SCIENCE
Abstract:
Individual research performance needs to be addressed by means of a
diverse set of indicators capturing the multidimensional framework of
science. In this context, Biplot methods emerge as powerful and reliable
visualisation tools similar to a scatterplot but capturing the
multivariate covariance structures among bibliometric indicators. In
this paper, we introduce the Canonical Biplot technique to explore
differences in the scientific performance of Spanish CSIC researchers,
organised by field (Chemistry and Materials Science) and grouped by
academic rank (research fellows and three types of full-time permanent
scientists). This method enables us to build a Biplot where the groups
of individuals are sorted out by the maximum discriminating power
between the different indicators considered. Besides, as confidence
intervals are displayed in the plot, statistical differences between
groups are liable to be studied simultaneously. Since test hypotheses
are sensitive to different sample size effects, sizes for some pairwise
comparisons are computed. We have found two gradients: a primary
gradient where scientists mainly differ in terms of age, production,
number of collaborators, number of highly-cited papers and their
position in the byline of the publications; and a second gradient, in
which scientists with the same academic rank differ by sort of field.
(C) 2015 Elsevier Ltd. All rights reserved.
Reprint Address:
Diaz-Faes, AA (reprint author), CSIC, IFS, Albasanz 26-28, Madrid 28037, Spain.
Addresses:
[Diaz-Faes, Adrian A.; Bordons, Maria] CSIC, IFS, Madrid 28037, Spain.
[Costas, Rodrigo] Leiden Univ, Ctr Sci & Technol Studies CWTS, NL-2300 AX Leiden, Netherlands.
[Purificacion Galindo, M.] Univ Salamanca, Dept Stat, Salamanca 37007, Spain.
E-mail Addresses:
adrian.arias at cchs.csic.es
Funding Acknowledgement:
Spanish National Research Council (JAE pre-doctoral grant)
Funding Text:
This research was supported by the Spanish National Research Council (JAE pre-doctoral grant). This paper was conceived while Adrian A. Diaz-Faes carried out a research stay at the Centre for Science and Technology Studies (CWTS), Leiden University (The Netherlands).
Cited Reference Count:
50
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DA2GF
Unique ID:
WOS:000367612600004
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Title:
Scientific publications in pediatrics over the last ten years in Turkey and worldwide
Authors:
Altun, D; Dabak, O; Hacihamdioglu, DO
Author Full Names:
Altun, Demet; Dabak, Orcun; Hacihamdioglu, Duygu Ovunc
Source:
TURKISH JOURNAL OF PEDIATRICS, 57 (2):117-122; MAR-APR 2015
Language:
English
Document Type:
Article
Author Keywords:
pediatrics publications, Turkey, world, last ten years
KeyWords Plus:
TRENDS
Abstract:
In keeping with the large area of interest comprised within the field of
pediatrics, the number and diversity of publications in this field has
gradually increased over the last ten years in our country as well as
worldwide. The objective of this paper is to offer an analysis of the
status of pediatrics publications during those ten years. The
publications analyzed were listed in the Thomson Reuters Web of Science
and/or published in journals included in the Science Citation Index, the
Science Citation Index Expanded and the Social Sciences Citation Index.
All of these publications appeared in journals in which at least one
pediatrics specialist published between the years 2004 and 2013. It may
be seen that Turkey is in fifth place worldwide in terms of the number
of studies published in these journals, with 6,134 such publications.
The conclusion is that it is necessary for more Turkish studies to be
multicenter, to involve international participation and to receive more
citations; importance must be attached to the objective of transforming
of the knowledge produced by Turkish researchers into a greater number
of publications of increased quality.
Reprint Address:
Altun, D (reprint author), Etimesgut Mil Hosp, Dept Pediat, Ankara, Turkey.
Addresses:
[Altun, Demet; Dabak, Orcun] Etimesgut Mil Hosp, Dept Pediat, Ankara, Turkey.
[Hacihamdioglu, Duygu Ovunc] Gulhane Mil Med Acad, Istanbul, Turkey.
[Hacihamdioglu, Duygu Ovunc] Haydarpasa Training Hosp, Fac Med, Istanbul, Turkey.
E-mail Addresses:
draltundemet at gmail.com
Cited Reference Count:
5
Times Cited:
0
Publisher:
TURKISH J PEDIATRICS, P K 66 SAMANPAZARI, 06240 ANKARA, TURKEY
ISSN:
0041-4301
Web of Science Categories:
Pediatrics
Research Areas:
Pediatrics
IDS Number:
DA1QL
Unique ID:
WOS:000367570300001
PubMed ID:
26690590
Cited References:
Reznik Marina, 2013, JOURNAL OF PEDIATRICS, V162, P222
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
Christakis DA, 2001, AMBULATORY PEDIATRICS, V1, P59
Forrest CB, 2003, PEDIATRICS, V111, P171
Asan A., 2004, Orlab On-Line Mikrobiyoloji Dergisi, V2, P1
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Title:
Academic Paper Recommendation Based on Heterogeneous Graph
Authors:
Pan, LL; Dai, XY; Huang, SJ; Chen, JJ
Author Full Names:
Pan, Linlin; Dai, Xinyu; Huang, Shujian; Chen, Jiajun
Edited by:
Sun M; Liu Z; Zhang M; Liu Y
Source:
CHINESE COMPUTATIONAL LINGUISTICS AND NATURAL LANGUAGE PROCESSING BASED ON NATURALLY ANNOTATED BIG DATA (CCL 2015), 9427 381-392; 10.1007/978-3-319-25816-4_31 2015
Book Series:
Lecture Notes in Artificial Intelligence
Language:
English
Document Type:
Proceedings Paper
Conference Title:
14th China National Conference on Computational Linguistics (CCL) / 3rd International Symposium on Natural Language Processing Based on Naturally Annotated Big Data (NLP-NABD)
Conference Date:
NOV 13-14, 2015
Conference Location:
Guangdong Univ Foreign Studies, Guangzhou, PEOPLES R CHINA
Conference Host:
Guangdong Univ Foreign Studies
Author Keywords:
Academic paper recommendation, Heterogeneous graph, Citation information, Content information, Similarity learning
KeyWords Plus:
SIMILARITY; WORDNET
Abstract:
Digital libraries suffer from the overload problem, which makes the
researchers have to spend much time to find relevant papers.
Fortunately, recommender system can help to find some relevant papers
for researchers automatically according to their browsed papers.
Previous paper recommendation methods are either citation-based or
content-based. In this paper, we propose a novel recommendation method
with a heterogeneous graph in which both citation and content knowledge
are included. In detail, a heterogeneous graph is constructed to
represent both citation and content information within papers. Then, we
apply a graph-based similarity learning algorithm to perform our paper
recommendation task. Finally, we evaluate our proposed approach on the
ACL Anthology Network data set and conduct an extensive comparison with
other recommender approaches. The experimental results demonstrate that
our approach outperforms traditional methods.
Reprint Address:
Dai, XY (reprint author), Nanjing Univ, Natl Key Lab Novel Software Technol, Nanjing 210023, Jiangsu, Peoples R China.
Addresses:
[Pan, Linlin; Dai, Xinyu; Huang, Shujian; Chen, Jiajun] Nanjing Univ, Natl Key Lab Novel Software Technol, Nanjing 210023, Jiangsu, Peoples R China.
E-mail Addresses:
panll at nlp.nju.edu.cn; dxy at nlp.nju.edu.cn; huangsj at nlp.nju.edu.cn; chenj at nlp.nju.edu.cn
Cited Reference Count:
15
Times Cited:
0
Publisher:
SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
ISSN:
0302-9743
ISBN:
978-3-319-25816-4; 978-3-319-25815-7
Web of Science Categories:
Computer Science, Artificial Intelligence
Research Areas:
Computer Science
IDS Number:
BE1CG
Unique ID:
WOS:000367710600031
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Title:
Co-authorship, Homophily, and Scholarly Influence in Information Systems Research
Authors:
Gallivan, M; Ahuja, M
Author Full Names:
Gallivan, Michael; Ahuja, Manju
Source:
JOURNAL OF THE ASSOCIATION FOR INFORMATION SYSTEMS, 16 (12):980-1015; DEC 2015
Language:
English
Document Type:
Article
Author Keywords:
Co-authorship, Scientific Collaboration, Scientometrics, Social Networks, Sociology of Science
KeyWords Plus:
SOCIAL NETWORK ANALYSIS; WORK GROUP DIVERSITY; SCIENTIFIC COLLABORATION; COCITATION ANALYSIS; INTELLECTUAL STRUCTURE; INTERDISCIPLINARY RESEARCH; COAUTHORSHIP PATTERNS; KNOWLEDGE MANAGEMENT; EUROPEAN CONFERENCE; EMPIRICAL-ANALYSIS
Abstract:
Information Systems (IS) researchers have increasingly focused attention
on understanding the identity of our field (Hirschheim & Klein 2003;
Lyytinen & King 2004). One facet of any discipline's identity is the
social aspect of how its scholars actually conduct their work (DeSanctis
2003), which is formally labeled as the study of sociology of science.
Contributing to this tradition of work, we empirically examine scholarly
influence (Acedo et al., 2006); scientific collaboration, including
metrics that capture the prevalence of c-oauthored work; antecedents to
co-authorship; and the effect of co-authorship on subsequent citations.
Based on analyzing five leading IS journals for a period of seven years,
we found that co-authored papers have become increasingly common in
leading IS journals and that coauthoring continues to be more prevalent
in journals published in North America compared to European journals.
Moreover, we found significant effects of homophily related to gender,
homophily/proximity, and geography. IS scholars worldwide exhibit a
stronger preference for collaborating with co-authors of the same sex
and those who attended the same PhD program than one would expect by
chance. We also examined differences among journals and found some
intriguing results for the effect of co-authorship on citations.
Overall, we found evidence that the number of co-authors was positively
related to citations although there was some variance across journals.
These findings point to a need for more research to better understand
both the processes of collaboration and the drivers and downstream
benefits associated with it.
Reprint Address:
Gallivan, M (reprint author), Georgia State Univ, Robinson Coll Business, Atlanta, GA 30303 USA.
Addresses:
[Gallivan, Michael] Georgia State Univ, Robinson Coll Business, Atlanta, GA 30303 USA.
[Ahuja, Manju] Univ Louisville, Coll Business, CIS Dept, Louisville, KY 40292 USA.
E-mail Addresses:
mikegallivan at yahoo.com; manju.ahuja at louisville.edu
Cited Reference Count:
180
Times Cited:
0
Publisher:
ASSOC INFORMATION SYSTEMS, GEORGIA STATE UNIV, 35 BROAD STREET, STE 916-917, ATLANTA, GA 30303 USA
ISSN:
1536-9323
eISSN:
1558-3457
Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DA3EY
Unique ID:
WOS:000367680700001
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Title:
Towards an early-stage identification of emerging topics in science-The usability of bibliometric characteristics
Authors:
Mund, C; Neuhausler, P
Author Full Names:
Mund, Carolin; Neuhaeusler, Peter
Source:
JOURNAL OF INFORMETRICS, 9 (4):1018-1033; 10.1016/j.joi.2015.09.004 OCT 2015
Language:
English
Document Type:
Article
Author Keywords:
Bibliometrics, Emerging topics, Identification, Early-stage
KeyWords Plus:
SCIENTIFIC DISCOVERY; CITATION ANALYSIS; EVALUATION TOOL; PUBLICATION; INTERDISCIPLINARITY; TRANSDISCIPLINARITY; GROWTH; IMPACT; TRUST; FATE
Abstract:
The assessment of research topics according to their development stage
can be used for different purposes, most importantly for decisions
regarding the (financial) support of research groups and regions. In
this work, we try to determine the influencing factors of emerging
scientific topics during their early development stage. Documents in
five pre-defined fields are analyzed with regard to the characteristics
of the involved authors, their references and journals. With the help of
an assignment to emerging and established topics, the publication
behavior of documents in different development stages can be compared.
Foremost, indicators can be derived that can help to identify
publications in emerging topics in science at an early-stage after
publication.
The results show that the field differences are so pronounced that they
hamper generalization. The field specific analysis, however, suggests
that at least for some fields a pre-selection of emerging topics can be
made. In technical fields, the involvement of larger groups of
researchers is an apparent feature, while in medicine a contrary
observation could be made. In addition, for the field of engineering we
found that emerging topics are more often published in older but smaller
journals, which indicates a high specialization of the publications. (C)
2015 Elsevier Ltd. All rights reserved.
Reprint Address:
Neuhausler, P (reprint author), Fraunhofer Inst Syst & Innovat Res ISI, Competence Ctr Policy Ind Innovat, Breslauer Str 48, D-76139 Karlsruhe, Germany.
Addresses:
[Mund, Carolin] SAP Deutschland SE & Co KG, D-69190 Walldorf, Germany.
[Neuhaeusler, Peter] Fraunhofer Inst Syst & Innovat Res ISI, D-76139 Karlsruhe, Germany.
[Neuhaeusler, Peter] Berlin Univ Technol, Chair Innovat Econ, VWS 2, D-10623 Berlin, Germany.
E-mail Addresses:
peter.neuhaeusler at isi.fraunhofer.de
Cited Reference Count:
54
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DA2GF
Unique ID:
WOS:000367612600026
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Title:
The relationship between the number of authors of a publication, its citations and the impact factor of the publishing journal: Evidence from Italy
Authors:
Abramo, G; D'Angelo, CA
Author Full Names:
Abramo, Giovanni; D'Angelo, Ciriaco Andrea
Source:
JOURNAL OF INFORMETRICS, 9 (4):746-761; 10.1016/j.joi.2015.07.003 OCT 2015
Language:
English
Document Type:
Article
Author Keywords:
Bibliometrics, Research collaboration, Co-authorship, Italy
KeyWords Plus:
RESEARCH COLLABORATION; SCIENTIFIC COLLABORATION; SCIENCE; TEAMS; DETERMINANTS; PSYCHOLOGY; FREQUENCY; INDICATOR; ARTICLES; PATTERNS
Abstract:
Empirical evidence shows that co-authored publications achieve higher
visibility and impact. The aim of the current work is to test for the
existence of a similar correlation for Italian publications. We also
verify if such correlation differs: (i) by subject category and
macro-area; (ii) by document type; (iii) over the course of time. The
results confirm world-level evidence, showing a consistent and
significant linear growth in the citability of a publication with number
of co-authors, in almost all subject categories. The effects are more
remarkable in the fields of Social Sciences and Art & Humanities than in
the Sciences - a finding not so obvious scrutinizing previous studies.
Moreover, our results partly disavow the positive association between
number of authors and prestige of the journal, as measured by its impact
factor. (C) 2015 Elsevier Ltd. All rights reserved.
Reprint Address:
Abramo, G (reprint author), CNR, Ist Anal Sistemi & Informat, Via Taurini 19, I-00185 Rome, Italy.
Addresses:
[Abramo, Giovanni; D'Angelo, Ciriaco Andrea] Natl Res Council Italy, Inst Syst Anal & Comp Sci IASI CNR, Lab Studies Res & Technol Transfer, Rome, Italy.
[D'Angelo, Ciriaco Andrea] Univ Roma Tor Vergata, Dipartimento Ingn Impresa, I-00133 Rome, Italy.
E-mail Addresses:
giovanni.abramo at uniroma2.it; dangelo at dii.uniroma2.it
Cited Reference Count:
44
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DA2GF
Unique ID:
WOS:000367612600006
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*Order Full Text [ ]
Title:
Twenty Years of Rural Entrepreneurship: A *Bibliometric* Survey
Authors:
Pato, ML; Teixeira, AA
Author Full Names:
Pato, Maria Lucia; Teixeira, Aurora A. C.
Source:
SOCIOLOGIA RURALIS, 56 (1):3-28; 10.1111/soru.12058 JAN 2016
Language:
English
Document Type:
Article
KeyWords Plus:
WEB-OF-SCIENCE; ECONOMIC-DEVELOPMENT; LOCAL EMBEDDEDNESS; PERIPHERAL AREAS; SOCIAL-SCIENCES; BUSINESS OWNERS; GOOGLE-SCHOLAR; GROWTH; CHINA; COUNTRIES
Abstract:
Entrepreneurship has become a dynamic field of research in the last two
decades. However, rural entrepreneurship' has been largely overlooked.
It seems therefore timely to present a quantitative survey of the
literature in this particular area. Based on 181 articles on rural
entrepreneurship published in journals indexed in Scopus, we found that
rural entrepreneurship is an essentially European concern, whose most
prolific authors are affiliated with institutions in the UK and Spain.
Organisational characteristics, policy measures and institutional
frameworks and governance have attracted considerable attention in
recent years, being considered emergent topics of research. In contrast,
theory building has not attracted much research over the period in
analysis, which suggests that the theoretical body of rural
entrepreneurship is still incipient, hindering the establishment of its
boundaries and of a suitable research agenda. Empirical literature on
rural entrepreneurship has focused mainly on developed countries, most
notably, the UK, the USA, Spain, Finland and Greece. Given the potential
rural entrepreneurship represents for less developed and underdeveloped
countries, more research on the topic targeting these countries is an
imperative.
Reprint Address:
Pato, ML (reprint author), Univ Porto, Fac Econ, Rua Campo Alegre 823, P-4100 Oporto, Portugal.
Addresses:
[Pato, Maria Lucia] Univ Porto, Fac Econ, P-4100 Oporto, Portugal.
[Teixeira, Aurora A. C.] Univ Porto, Fac Econ, Ctr Econ & Finance, Inst Engn Sistemas & Comp Porto,Observ Econ & Ges, P-4200464 Oporto, Portugal.
E-mail Addresses:
120427022 at fep.up.pt; ateixeira at fep.up.pt
Cited Reference Count:
126
Times Cited:
0
Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
ISSN:
0038-0199
eISSN:
1467-9523
Web of Science Categories:
Geography; Sociology
Research Areas:
Geography; Sociology
IDS Number:
DA3UG
Unique ID:
WOS:000367723900001
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Title:
Exploring cerebral small vessel disease research using *informetrics*: a first glimpse into microbleeds
Authors:
Charidimou, A; Yeon, S; Song, M
Author Full Names:
Charidimou, Andreas; Yeon, Su; Song, Min
Source:
INTERNATIONAL JOURNAL OF STROKE, 10 (8):E87-E88; 10.1111/ijs.12617 DEC 2015
Language:
English
Document Type:
Letter
KeyWords Plus:
IMPACT
Reprint Address:
Charidimou, A (reprint author), Harvard Univ, Massachusetts Gen Hosp, Sch Med, J Kistler Stroke Res Ctr, 175 Cambridge St,Suite 300, Boston, MA 02114 USA.
Addresses:
[Charidimou, Andreas] Harvard Univ, Massachusetts Gen Hosp, Hemorrhag Stroke Res Program, Dept Neurol,Stroke Res Ctr,Med Sch, Boston, MA 02114 USA.
[Charidimou, Andreas] UCL Inst Neurol, London, England.
[Charidimou, Andreas] Natl Hosp Neurol & Neurosurg, London WC1N 3BG, England.
[Yeon, Su; Song, Min] Yonsei Univ, Dept Lib & Informat Sci, Seoul 120749, South Korea.
E-mail Addresses:
andreas.charidimou.09 at ucl.ac.uk
Cited Reference Count:
8
Times Cited:
0
Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
ISSN:
1747-4930
eISSN:
1747-4949
Web of Science Categories:
Peripheral Vascular Disease
Research Areas:
Cardiovascular System & Cardiology
IDS Number:
DA3CO
Unique ID:
WOS:000367673700002
PubMed ID:
26745706
Cited References:
Wardlaw Joanna M., 2013, LANCET NEUROLOGY, V12, P822
Sorensen Aaron A., 2009, JOURNAL OF ALZHEIMERS DISEASE, V16, P451
Pantoni Leonardo, 2010, LANCET NEUROLOGY, V9, P689
Hughes Michael E., 2014, JAMA NEUROLOGY, V71, P412
Charidimou A, 2015, J Neurol Neurosurg Psychiatry,
Song M, 2014, Scientometrics, V102, P1
Evans James A., 2011, SCIENCE, V331, P721
Wardlaw Joanna M., 2013, LANCET NEUROLOGY, V12, P483
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Title:
*Citations* in Life Science Patents to Publicly Funded Research at Academic Medical Centers
Authors:
Sampat, BN; Pincus, HA
Author Full Names:
Sampat, Bhaven N.; Pincus, Harold Alan
Source:
CTS-CLINICAL AND TRANSLATIONAL SCIENCE, 8 (6):759-763; 10.1111/cts.12361 DEC 2015
Language:
English
Document Type:
Article
Author Keywords:
drugs, FDA, translational research
KeyWords Plus:
TECHNOLOGY; INNOVATION; LINKS
Abstract:
BackgroundThe contributions of Academic Medical Centers (AMCs) to
biomedical innovation have been difficult to measure because of the
challenges involved in tracing knowledge flows from their origin to
their uses.
MethodsThe authors examined patent citation linkages between AMC
research funded by the National Institutes of Health (NIH) and patents.
In prospective analyses, they examine the extent to which articles
resulting from NIH grants to AMCs awarded between 1990 and 1995 were
cited in drug and medical patents. The authors then examine the extent
to which these patents are associated with marketed drugs. In
retrospective analyses, they examine the share of drugs approved between
2000 and 2009 that have citation links to NIH-funded AMC research.
ResultsThe prospective analyses show over a third of AMC grants resulted
in publications that were cited in patents. Most the patents are drug
and biotechnology patents, and are assigned to private firms. Patents
citing NIH-funded AMC publications were associated with 106 new FDA
approved drugs, half of which are new molecular entities and a quarter
of which are priority NMEs.The retrospective analyses showed that about
half of the new molecular entities approved over the 2000-2009 period
had citations links to NIH-funded AMC research.
ConclusionsThere are strong links between articles from NIH-funded AMC
research and private sector medical patenting, including drugs. More
research is needed to better understand the types of links the citations
represent and their implications for public policy.
Reprint Address:
Sampat, BN (reprint author), Columbia Univ, Mailman Sch Publ Hlth, Dept Hlth Policy & Management, New York, NY 10027 USA.
Addresses:
[Sampat, Bhaven N.; Pincus, Harold Alan] Columbia Univ, Mailman Sch Publ Hlth, Dept Hlth Policy & Management, New York, NY 10027 USA.
[Pincus, Harold Alan] Columbia Univ, Coll Phys & Surg, Dept Psychiat, New York, NY USA.
[Pincus, Harold Alan] New York Presbyterian Hosp, New York, NY USA.
[Pincus, Harold Alan] Columbia Irving Inst Clin & Translat Res, New York, NY USA.
E-mail Addresses:
bns3 at cumc.columbia.edu
Funding Acknowledgement:
Irving Institute for Clinical and Translational Research at Columbia University; National Center for Advancing Translational Sciences, National Institutes of Health [UL1 TR000040]
Funding Text:
The research for and drafting of the paper was supported by an honorarium from the Health Policy Center at New York-Presbyterian. Dr. Pincus is grateful for the support of the Irving Institute for Clinical and Translational Research at Columbia University, supported by the National Center for Advancing Translational Sciences, National Institutes of Health, through Grant Number UL1 TR000040. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH or the New York Presbyterian Health Policy Center. The authors wish to thank Joan Leiman, Herb Pardes, and Michael Sparer for comments on an earlier draft.
Cited Reference Count:
20
Times Cited:
0
Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
ISSN:
1752-8054
eISSN:
1752-8062
Web of Science Categories:
Medicine, Research & Experimental
Research Areas:
Research & Experimental Medicine
IDS Number:
DA3DL
Unique ID:
WOS:000367676600027
PubMed ID:
26728947
Cited References:
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Title:
Measuring research success via *bibliometrics*: where they fit and how they help and hinder
Authors:
Thompson, DR; Clark, AM
Author Full Names:
Thompson, David R.; Clark, Alexander M.
Source:
JOURNAL OF ADVANCED NURSING, 71 (12):2699-2701; 10.1111/jan.12610 DEC 2015
Language:
English
Document Type:
Editorial Material
KeyWords Plus:
IMPACT FACTORS; SCIENCE; WEB
Reprint Address:
Thompson, DR (reprint author), Australian Catholic Univ, Mary MacKillop Inst Hlth Res, Nursing, Melbourne, Vic, Australia.
Addresses:
[Thompson, David R.] Australian Catholic Univ, Mary MacKillop Inst Hlth Res, Nursing, Melbourne, Vic, Australia.
[Clark, Alexander M.] Univ Alberta, Fac Nursing, Nursing, Edmonton, AB, Canada.
E-mail Addresses:
david.thompson at acu.edu.au
Cited Reference Count:
15
Times Cited:
0
Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
ISSN:
0309-2402
eISSN:
1365-2648
Web of Science Categories:
Nursing
Research Areas:
Nursing
IDS Number:
DA3EE
Unique ID:
WOS:000367678700001
Cited References:
Johnstone M. -J., 2007, INTERNATIONAL NURSING REVIEW, V54, P35
De Groote Sandra L., 2012, NURSING OUTLOOK, V60, P391
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Smith Derek R., 2011, NURSING & HEALTH SCIENCES, V13, P384
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The Guardian, 2013, Nobel prize winner declares boycott of top science journals,
Clark Alexander M., 2012, JOURNAL OF ADVANCED NURSING, V68, P2373
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Polit Denise F., 2011, NURSING OUTLOOK, V59, P18
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Gallagher Ann, 2011, NURSING ETHICS, V18, P3
Clark A.M., 2015, Journal of Advanced Nursing, V71, P1
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*Order Full Text [ ]
Title:
Digital Presence of Norwegian Scholars on Academic Network Sites-Where and Who Are They?
Authors:
Mikki, S; Zygmuntowska, M; Gjesdal, OL; Al Ruwehy, HA
Author Full Names:
Mikki, Susanne; Zygmuntowska, Marta; Gjesdal, Oyvind Liland; Al Ruwehy,
Hemed Ali
Source:
PLOS ONE, 10 (11):10.1371/journal.pone.0142709 NOV 13 2015
Language:
English
Document Type:
Article
KeyWords Plus:
SOCIAL NETWORK; CITATIONS
Abstract:
The use of academic profiling sites is becoming more common, and
emerging technologies boost researchers' visibility and exchange of
ideas. In our study we compared profiles at five different profiling
sites. These five sites are ResearchGate, Academia.edu, Google Scholar
Citations, ResearcherID and ORCID. The data set is enriched by
demographic information including age, gender, position and affiliation,
which are provided by the national CRIS-system in Norway. We find that
approximately 37% of researchers at the University of Bergen have at
least one profile, the prevalence being highest (>40%) for members at
the Faculty of Psychology and the Faculty of Social Sciences. Across all
disciplines, ResearchGate is the most widely used platform. However,
within Faculty of Humanities, Academia. edu is the preferred one.
Researchers are reluctant to maintain multiple profiles, and there is
little overlap between different services. Age turns out to be a poor
indicator for presence in the investigated profiling sites, women are
underrepresented and professors together with PhD students are the most
likely profile holders. We next investigated the correlation between
bibliometric measures, such as publications and citations, and user
activities, such as downloads and followers. We find different
bibliometric indicators to correlate strongly within individual
platforms and across platforms. There is however less agreement between
the traditional bibliometric and social activity indicators.
Reprint Address:
Mikki, S (reprint author), Univ Bergen, Univ Bergen Lib, Bergen, Norway.
Addresses:
[Mikki, Susanne; Zygmuntowska, Marta; Gjesdal, Oyvind Liland; Al Ruwehy, Hemed Ali] Univ Bergen, Univ Bergen Lib, Bergen, Norway.
E-mail Addresses:
Susanne.mikki at uib.no
Cited Reference Count:
40
Times Cited:
0
Publisher:
PUBLIC LIBRARY SCIENCE, 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
ISSN:
1932-6203
Article Number:
e0142709
Web of Science Categories:
Multidisciplinary Sciences
Research Areas:
Science & Technology - Other Topics
IDS Number:
DA2MI
Unique ID:
WOS:000367628500047
Cited References:
Haustein Stefanie, 2014, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V65, P656
Duggan M., 2013, Social Media Update 2013,
Menendez M, 2012, From Research to Practice in the Design of Cooperative Systems: Results and Open Challenges, P49
Haustein Stefanie, 2014, SCIENTOMETRICS, V101, P1145
Priem J, 2012, arXiv preprint arXiv:12034745,
Piwowar Heather, 2013, NATURE, V493, P159
Costas Rodrigo, 2015, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V66, P2003
Almousa O, 2011, Applied Electrical Engineering and Computing Technologies (AEECT), 2011 IEEE Jordan Conference on, P1
[Anonymous], 2015,
Mikki S, 2015, Vitenskapelig publisering ved Universitetet i Bergen: Publiseringsstatistikk 2005-2014,
Adler R, 2008, Citation statistics,
Bommann L, To what extent does the Leiden Manifesto also apply to altmetrics? A discussion of the manifesto against the background of research into altmetrics,
Ward J, 2015, Liber Quarterly, V22,
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Heller L, 2015, What will the scholarly profile page of the future look like? Provision of metadata is enabling experimentation,
Wan Jin-kun, 2010, SCIENTOMETRICS10th International Conference on Science and Technology Indicators, SEP 17-20, 2008, Vienna, AUSTRIA, V82, P555
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Bar-llan J., 2014, Research trends, P37
Schloegl Christian, 2014, SCIENTOMETRICS, V101, P1113
Priem Jason, 2014, BEYOND BIBLIOMETRICS: HARNESSING MULTIDIMENSIONAL INDICATORS OF SCHOLARLY IMPACT, P263
Rowlands Ian, 2011, LEARNED PUBLISHING, V24, P183
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Mas-Bleda Amalia, 2014, SCIENTOMETRICS, V101, P337
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*Order Full Text [ ]
Title:
Towards an early-stage identification of emerging topics in science-The usability of *bibliometric* characteristics
Authors:
Mund, C; Neuhausler, P
Author Full Names:
Mund, Carolin; Neuhaeusler, Peter
Source:
JOURNAL OF INFORMETRICS, 9 (4):1018-1033; 10.1016/j.joi.2015.09.004 OCT 2015
Language:
English
Document Type:
Article
Author Keywords:
Bibliometrics, Emerging topics, Identification, Early-stage
KeyWords Plus:
SCIENTIFIC DISCOVERY; CITATION ANALYSIS; EVALUATION TOOL; PUBLICATION; INTERDISCIPLINARITY; TRANSDISCIPLINARITY; GROWTH; IMPACT; TRUST; FATE
Abstract:
The assessment of research topics according to their development stage
can be used for different purposes, most importantly for decisions
regarding the (financial) support of research groups and regions. In
this work, we try to determine the influencing factors of emerging
scientific topics during their early development stage. Documents in
five pre-defined fields are analyzed with regard to the characteristics
of the involved authors, their references and journals. With the help of
an assignment to emerging and established topics, the publication
behavior of documents in different development stages can be compared.
Foremost, indicators can be derived that can help to identify
publications in emerging topics in science at an early-stage after
publication.
The results show that the field differences are so pronounced that they
hamper generalization. The field specific analysis, however, suggests
that at least for some fields a pre-selection of emerging topics can be
made. In technical fields, the involvement of larger groups of
researchers is an apparent feature, while in medicine a contrary
observation could be made. In addition, for the field of engineering we
found that emerging topics are more often published in older but smaller
journals, which indicates a high specialization of the publications. (C)
2015 Elsevier Ltd. All rights reserved.
Reprint Address:
Neuhausler, P (reprint author), Fraunhofer Inst Syst & Innovat Res ISI, Competence Ctr Policy Ind Innovat, Breslauer Str 48, D-76139 Karlsruhe, Germany.
Addresses:
[Mund, Carolin] SAP Deutschland SE & Co KG, D-69190 Walldorf, Germany.
[Neuhaeusler, Peter] Fraunhofer Inst Syst & Innovat Res ISI, D-76139 Karlsruhe, Germany.
[Neuhaeusler, Peter] Berlin Univ Technol, Chair Innovat Econ, VWS 2, D-10623 Berlin, Germany.
E-mail Addresses:
peter.neuhaeusler at isi.fraunhofer.de
Cited Reference Count:
54
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DA2GF
Unique ID:
WOS:000367612600026
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Title:
More precise methods for national research *citation* impact comparisons
Authors:
Fairclough, R; Thelwall, M
Author Full Names:
Fairclough, Ruth; Thelwall, Mike
Source:
JOURNAL OF INFORMETRICS, 9 (4):895-906; 10.1016/j.joi.2015.09.005 OCT 2015
Language:
English
Document Type:
Article
Author Keywords:
Scientometrics, Citation analysis, Research evaluation
KeyWords Plus:
COUNTING METHODS; CITED ARTICLES; SCIENCE; DISTRIBUTIONS; INDICATORS; AUTHORSHIP; COVERAGE; FIELDS; SCOPUS; ORDER
Abstract:
Governments sometimes need to analyse sets of research papers within a
field in order to monitor progress, assess the effect of recent policy
changes, or identify areas of excellence. They may compare the average
citation impacts of the papers by dividing them by the world average for
the field and year. Since citation data is highly skewed, however,
simple averages may be too imprecise to robustly identify differences
within, rather than across, fields. In response, this article introduces
two new methods to identify national differences in average citation
impact, one based on linear modelling for normalised data and the other
using the geometric mean. Results from a sample of 26 Scopus fields
between 2009 and 2015 show that geometric means are the most precise and
so are recommended for smaller sample sizes, such as for individual
fields. The regression method has the advantage of distinguishing
between national contributions to internationally collaborative
articles, but has substantially wider confidence intervals than the
geometric mean, undermining its value for any except the largest sample
sizes. (C) 2015 Elsevier Ltd. All rights reserved.
Reprint Address:
Thelwall, M (reprint author), Wolverhampton Univ, Sch Math & Comp Sci, Stat Cybermetr Res Grp, Wulfruna St, Wolverhampton WV1 1LY, W Midlands, England.
Addresses:
[Fairclough, Ruth; Thelwall, Mike] Wolverhampton Univ, Sch Math & Comp Sci, Stat Cybermetr Res Grp, Wolverhampton WV1 1LY, W Midlands, England.
E-mail Addresses:
m.thelwall at wlv.ac.uk
Cited Reference Count:
41
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DA2GF
Unique ID:
WOS:000367612600016
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Thelwall Mike, 2014, JOURNAL OF INFORMETRICS, V8, P963
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Title:
The Impact of the *Impact Factor*
Authors:
Randleman, JB
Author Full Names:
Randleman, J. Bradley
Source:
JOURNAL OF REFRACTIVE SURGERY, 31 (10):648-649; 10.3928/1081597X-20150928-05 OCT 2015
Language:
English
Document Type:
Editorial Material
Reprint Address:
Randleman, JB (reprint author), Emory Eye Ctr, 5671 Peachtree Dunwoody Rd,Suite 400, Atlanta, GA 30342 USA.
Addresses:
[Randleman, J. Bradley] Emory Univ, Dept Ophthalmol, Atlanta, GA 30322 USA.
[Randleman, J. Bradley] Emory Eye Ctr, Emory Vis, Atlanta, GA 30342 USA.
E-mail Addresses:
jrandle at emory.edu
Cited Reference Count:
1
Times Cited:
0
Publisher:
SLACK INC, 6900 GROVE RD, THOROFARE, NJ 08086 USA
ISSN:
1081-597X
eISSN:
1938-2391
Web of Science Categories:
Ophthalmology; Surgery
Research Areas:
Ophthalmology; Surgery
IDS Number:
DA2ZM
Unique ID:
WOS:000367665700001
PubMed ID:
26469072
Cited References:
Seiler T, 1998, JOURNAL OF REFRACTIVE SURGERY, V14, P312
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*
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Title:
Interpolated sub-*impact factor* (SIF) sequences for journal rankings
Authors:
Rousseau, R; Xu, F; Liu, WB
Author Full Names:
Rousseau, Ronald; Xu, Fang; Liu, Wenbin
Source:
JOURNAL OF INFORMETRICS, 9 (4):907-914; 10.1016/j.joi.2015.09.002 OCT 2015
Language:
English
Document Type:
Article
Author Keywords:
Journal evaluation, Sub-impact factor, SIF-sequences, Aggregated SIF-indicator, Interpolated indicators
KeyWords Plus:
INDEX
Abstract:
In a previous publication the journal sub-*impact factor* denoted as
SIF, and derived sub-impact sequences have been introduced. Their
calculation included a discrete step. Now we adapt this scheme to
include an interpolation procedure. A mathematical proof is given
showing that anomalies that may happen in the discrete approach cannot
happen anymore in the interpolated approach. (C) 2015 Elsevier Ltd. All
rights reserved.
Reprint Address:
Xu, F (reprint author), Chinese Acad Sci, Inst Policy & Management, Beijing 100190, Peoples R China.
Addresses:
[Rousseau, Ronald] Katholieke Univ Leuven, Dept Math, Leuven, Belgium.
[Rousseau, Ronald] Univ Antwerp, IBW, B-2000 Antwerp, Belgium.
[Xu, Fang] Chinese Acad Sci, Inst Policy & Management, Beijing 100190, Peoples R China.
[Liu, Wenbin] Univ Kent, Kent Business Sch, Canterbury CT2 7NZ, Kent, England.
E-mail Addresses:
ronald.rousseau at kuleuven.be; xufang at casipm.ac.cn; w.b.liu at kent.ac.uk
Funding Acknowledgement:
NSFC [71173154, 71173185, 71201159]
Funding Text:
The authors thank two anonymous reviewers and editor-in-chief Ludo Waltman for helpful suggestions to improve the article. Work of Ronald Rousseau is supported by the NSFC under grants no. 71173154 and 71173185. He also thanks Yan Sulan and Huang Shuiqing (Nanjing Agricultural University) and Hu Xiaojun (Zhejiang University) for their hospitality during RR's stay, when some of the results presented here have been achieved.Work of Fang Xu is supported by the NSFC under grant no. 71201159.
Cited Reference Count:
17
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DA2GF
Unique ID:
WOS:000367612600017
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Haustein S., 2012, Multidimensional Journal Evaluation: Analyzing Scientific Periodicals beyond the Impact Factor,
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Rousseau R., 2006, E-LIS: ID 6153,
Aarssen L. W., 2008, The Open Ecology Journal, V1, P14
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Title:
Gender differences in scientific performance: A *bibliometric* matching analysis of Danish health sciences Graduates
Authors:
Frandsen, TF; Jacobsen, RH; Wallin, JA; Brixen, K; Ousager, J
Author Full Names:
Frandsen, Tove Faber; Jacobsen, Rasmus Hojbjerg; Wallin, Johan A.;
Brixen, Kim; Ousager, Jakob
Source:
JOURNAL OF INFORMETRICS, 9 (4):1007-1017; 10.1016/j.joi.2015.09.006 OCT 2015
Language:
English
Document Type:
Article
Author Keywords:
Scientific productivity, Impact, Gender differences, Gender gap
KeyWords Plus:
RESEARCH PRODUCTIVITY; SCHOLARLY PRODUCTIVITY; SEX-DIFFERENCES; LIFE SCIENCES; IMPACT; PUBLICATION; DISPARITIES; SURGERY; DEPARTMENTS; PERSPECTIVE
Abstract:
The aim of this study is to compare PhD students' performance with
respect to gender using a number of matching methods. The data consists
of fine-grained information about PhD-students at the Institute of
Clinical Research at the University of Southern Denmark. Men and women
are matched controlling for sub-disciplinary affiliation, education,
year of enrolment and age. Publications and citations are identified in
Web of Science.
Our study shows that the average total number of publication is slightly
higher for men than for women. Excluding the "other" group of
publications from the analyses reveals that there is a negligible
difference between men and women in terms of published articles. A
substantial proportion of women is on maternity leave during the time
period analysed and thus we would expect their productivity to be
considerably lower. Similarly, we have found very little difference
between the citation impact of men and women.
We find matching methods to be a promising set of methods for evaluating
productivity and impact of individuals from various sub-fields,
universities and time periods as we are able to discard some of the
underlying factors determining the results of analyses of gender
differences in productivity and citation impact. (C) 2015 Elsevier Ltd.
All rights reserved.
Reprint Address:
Frandsen, TF (reprint author), Odense Univ Hosp, Sdr Blvd 29, DK-5000 Odense, Denmark.
Addresses:
[Frandsen, Tove Faber; Brixen, Kim] Odense Univ Hosp, DK-5000 Odense, Denmark.
[Jacobsen, Rasmus Hojbjerg] KORA, Danish Inst Local & Reg Govt Res, Copenhagen, Denmark.
[Wallin, Johan A.; Ousager, Jakob] Univ Southern Denmark, Odense, Denmark.
E-mail Addresses:
t.faber at videncentret.sdu.dk
Cited Reference Count:
53
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DA2GF
Unique ID:
WOS:000367612600025
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Baccini A., 2014, SCIENTOMETRICS, V101, P2035
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Title:
*Bibliometric* indicators: opportunities and limits
Authors:
Belter, CW
Author Full Names:
Belter, Christopher W.
Source:
JOURNAL OF THE MEDICAL LIBRARY ASSOCIATION, 103 (4):219-221; 10.3163/1536-5050.103.4.014 OCT 2015
Language:
English
Document Type:
Editorial Material
Author Keywords:
Bibliometrics, Program Evaluation, Research Personnel/Statistics and Numerical Data, Research/Organization and Administration, Peer Review, Research
KeyWords Plus:
IMPACT FACTOR; CITATION
Reprint Address:
Belter, CW (reprint author), NIH, NIH Lib, Bldg 10, Bethesda, MD 20892 USA.
Addresses:
[Belter, Christopher W.] NIH, NIH Lib, Bethesda, MD 20892 USA.
E-mail Addresses:
christopher.belter at nih.gov
Cited Reference Count:
17
Times Cited:
0
Publisher:
MEDICAL LIBRARY ASSOC, 65 EAST WACKER PLACE, STE 1900, CHICAGO, IL 60601-7298 USA
ISSN:
1536-5050
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DA3HB
Unique ID:
WOS:000367686700015
PubMed ID:
26512227
Cited References:
Haustein S, 2015, Incentives and performance, P121
Mingers J, 2015, arXiv: 1501.05462v2,
Bornmann Luti, 2008, JOURNAL OF DOCUMENTATION, V64, P45
de Solla Price DJ, 1951, Archives Internationales d'Histoire des Sciences, V4, P85
GARFIELD E, 1979, SCIENTOMETRICS, V1, P359
de Solla Price DJ, 1963, Little science, big science,
Garfield E, 2006, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V295, P90
Alberts Bruce, 2014, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V111, P5773
Abramo Giovanni, 2011, JOURNAL OF INFORMETRICS, V5, P659
Wang Jian, 2013, SCIENTOMETRICS, V94, P851
Seglen PO, 1997, BRITISH MEDICAL JOURNAL, V314, P498
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
Redner S, 2005, PHYSICS TODAY, V58, P49
Bornmann Lutz, 2011, ANNUAL REVIEW OF INFORMATION SCIENCE AND TECHNOLOGY, V45, P199
Lee Carole J., 2013, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V64, P2
vanRaan AFJ, 1996, SCIENTOMETRICS, V36, P397
Moed H. F., 2007, Science & Public Policy, V34, P575
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Title:
Ranking research institutions by the number of highly-*cited articles* per scientist
Authors:
Abramo, G; D'Angelo, CA
Author Full Names:
Abramo, Giovanni; D'Angelo, Ciriaco Andrea
Source:
JOURNAL OF INFORMETRICS, 9 (4):915-923; 10.1016/j.joi.2015.09.001 OCT 2015
Language:
English
Document Type:
Article
Author Keywords:
Research evaluation, University, Bibliometrics, Italy
KeyWords Plus:
RESEARCH PRODUCTIVITY; RESEARCH PERFORMANCE; CITATION ANALYSIS; EXCELLENCE; SCIENCES; SIZE; TIME
Abstract:
In the literature and on the Web we can readily find research excellence
rankings for organizations and countries by either total number of
highly-cited articles (HCAs) or by ratio of HCAs to total publications.
Neither are indicators of efficiency. In the current work we propose an
indicator of efficiency, the number of HCAs per scientist, which can
complement the productivity indicators based on impact of total output.
We apply this indicator to measure excellence in the research of Italian
universities as a whole, and in each field and discipline of the hard
sciences. (C) 2015 Elsevier Ltd. All rights reserved.
Reprint Address:
Abramo, G (reprint author), Natl Res Council Italy, Inst Syst Anal & Comp Sci IASI CNR, Lab Studies Res & Technol Transfer, Via Taurini 19, I-00185 Rome, Italy.
Addresses:
[Abramo, Giovanni] Natl Res Council Italy, Inst Syst Anal & Comp Sci IASI CNR, Lab Studies Res & Technol Transfer, I-00185 Rome, Italy.
[D'Angelo, Ciriaco Andrea] Univ Roma Tor Vergata, Dept Engn & Management, I-00133 Rome, Italy.
E-mail Addresses:
giovanni.abramo at uniroma2.it; dangelo at dii.uniroma2.it
Cited Reference Count:
30
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DA2GF
Unique ID:
WOS:000367612600018
Cited References:
Butler L, 2007, Science and Public Policy, V34, P565
GARFIELD E, 1979, SCIENTOMETRICS, V1, P359
Abramo Giovanni, 2014, SCIENTOMETRICS, V98, P2069
Abramo Giovanni, 2012, JOURNAL OF INFORMETRICS, V6, P192
Wang Jian, 2013, SCIENTOMETRICS, V94, P851
Bonaccorsi A, 2005, SCIENTOMETRICS, V63, P87
Waltman Ludo, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2419
Abramo Giovanni, 2012, JOURNAL OF INFORMETRICS, V6, P470
Cho Kit W., 2012, MEMORY & COGNITION, V40, P1132
Tijssen RJW, 2003, RESEARCH EVALUATION7th International Conference on Science and Technology Indicatiors, SEP 25-28, 2002, KARLSRUHE, GERMANY, V12, P91
Abramo Giovanni, 2014, SCIENTOMETRICS, V101, P1129
Seglen P. O., 2000, Scientometrics, V49, P123
Bornmann Lutz, 2012, JOURNAL OF INFORMETRICS, V6, P333
Abramo Giovanni, 2014, HIGHER EDUCATION, V68, P69
MOED HF, 1985, RESEARCH POLICY, V14, P131
Abramo Giovanni, 2012, SCIENTOMETRICS, V93, P1005
Khan Moonis Ali, 2012, SCIENCE OF THE TOTAL ENVIRONMENT, V431, P122
Zitt M, 2005, SCIENTOMETRICS, V63, P373
Abramo Giovanni, 2011, SCIENTOMETRICS, V88, P915
RIN (Research Information Network), 2009, Communicating knowledge: How and why researchers publish and disseminate their findings,
Golden J., 1992, Economics of Education Review, V11, P169
D'Angelo Ciriaco Andrea, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P257
Moed H. F., 2005, Citation analysis in research evaluation,
Abramo Giovanni, 2012, HIGHER EDUCATION, V63, P701
Abramo Giovanni, 2009, EVALUATION REVIEW, V33, P159
Abramo Giovanni, 2013, JOURNAL OF INFORMETRICS, V7, P198
Pontille D., 2004, La Signature Scientifique: Une Sociologie Pragmatique de lAttribution,
Hennessey Kiara, 2009, CUAJ-CANADIAN UROLOGICAL ASSOCIATION JOURNAL, V3, P293
Bornmann Lutz, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P1954
Shapiro Fred R., 1991, YALE L.J., V100, P1449
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Title:
A Simhash-Based Generalized Framework for *Citation* Matching in MapReduce
Authors:
Wang, PS; Wu, B; Li, XM; Wang, L; Wang, B
Author Full Names:
Wang, Pengsen; Wu, Bin; Li, Xiaoming; Wang, Lin; Wang, Bai
Edited by:
Li XL; Cao T; Lim EP; Zhou ZH; Ho TB; Cheung D; Motoda H
Source:
TRENDS AND APPLICATIONS IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2015, 9441 78-90; 10.1007/978-3-319-25660-3_7 2015
Book Series:
Lecture Notes in Artificial Intelligence
Language:
English
Document Type:
Proceedings Paper
Conference Title:
19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
Conference Date:
MAY 19-22, 2015
Conference Location:
John Neumann Inst, Ho Chi Minh City, VIETNAM
Conference Sponsors:
Air Force Off Sci Res, Asian Off Aerosp Res and Dev, Japan Adv Inst Sci & Technol, Univ Technol, Univ Sci, Vietnam Natl Univ, Univ Informat Technol
Conference Host:
John Neumann Inst
Author Keywords:
Citation matching, Parallelization, Short text similarity, MapReduce
Abstract:
Citation matching is to find the cited papers according to only a small
amount of information. There have been some works on citation matching.
Most of the solutions require expensive model processing to achieve good
results. However, when dealing with millions of citations in large
digital libraries, these solutions may not be efficient enough. To
address this problem, we propose a simhash-based generalized framework
in MapReduce for citation matching. In the framework, we use title exact
matching and distance-based short text similarity metrics to implement
citation matching. Moreover, customizing citation fields, citation field
weights and word segmentation weights are used for improving the
accuracy. We also design a heuristic algorithm which can automatically
calculate the weights of each citation field. For disposing the
large-scale datasets, we implement the framework in Hadoop, a popular
parallel computation platform. We do our experiments with real datasets
from a Chinese Medicine Digital Library, and a comparative experiment
with Cora corpus (McCallum's citation matching test set). The results of
experiments confirm the efficiency and effectiveness of our framework.
Reprint Address:
Wang, PS (reprint author), Beijing Univ Posts & Telecommun, Beijing Key Lab Intelligent Telecommun Software &, Beijing 100876, Peoples R China.
Addresses:
[Wang, Pengsen; Wu, Bin; Li, Xiaoming; Wang, Lin; Wang, Bai] Beijing Univ Posts & Telecommun, Beijing Key Lab Intelligent Telecommun Software &, Beijing 100876, Peoples R China.
E-mail Addresses:
wps1992 at gmail.com; wubin at bupt.edu.cn; xiaomingli007 at gmail.com; chestnutwl at gmail.com; wangbai at bupt.edu.cn
Cited Reference Count:
14
Times Cited:
0
Publisher:
SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
ISSN:
0302-9743
ISBN:
978-3-319-25660-3; 978-3-319-25659-7
Web of Science Categories:
Computer Science, Artificial Intelligence
Research Areas:
Computer Science
IDS Number:
BE1CF
Unique ID:
WOS:000367710200007
Cited References:
Liao Zhihua, 2008, AI 2008: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS21st Australian Joint Conference on Artificial Intelligence, DEC 01-05, 2008, Auckland, NEW ZEALAND, V5360, P601
Fedoryszak M., 2013, TPDL 2013, V8092, P362
Bilenko M., 2003, KDD, P39
Manku G. S., 2007, WWW, P141
Pasula H., 2003, P1425
Koo H. K., 2011, ICISA, P1
Kan Min-Yen, 2008, COMMUNICATIONS OF THE ACM, V51, P91
Pham T. A. N, 2011, SoICT, P199
Chierichetti F., 2014, KDD, P641
McCallun A., 2000, KDD, P169
Liu Y., 2013, ICIMCS, P372
Councill I. G., 2006, JCDL, P276
Charikar M. S., 2002, STOC, P380
Hitchcock S., 1997, Proceedings the Second ACM International Conference on Digital Libraries, P115
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Title:
Analysis of the Relationship between the Number of Publications, Number of *Citations* per Document and GDP by Using Panel Data Tools
Authors:
Kuchina, E
Author Full Names:
Kuchina, Elena
Edited by:
Soliman KS
Source:
INNOVATION MANAGEMENT AND SUSTAINABLE ECONOMIC COMPETITIVE ADVANTAGE: FROM REGIONAL DEVELOPMENT TO GLOBAL GROWTH, VOLS I - VI, 2015, 803-810; 2015
Language:
English
Document Type:
Proceedings Paper
Conference Title:
26th International-Business-Information-Management-Association Conference
Conference Date:
NOV 11-12, 2015
Conference Location:
Madrid, SPAIN
Conference Sponsors:
Int Business Informat Management Assoc
Author Keywords:
hierarchical cluster analysis, panel data, cross-section dependence, CCEMG estimator
Abstract:
This paper focused on the analyzing the relationship between the total
number of publications, the number of citations per document and the
GDP. The current study uses the hierarchical cluster analysis to divide
countries into different groups based on the scenario of the development
of R&D expenditures measured as a percentage of GDP during 1996-2011;
and panel data tools to estimate the character and intensity of the
examined relationship. The panel data set of 64 countries from 1996 to
2014 was examined. Due to cross section dependence across units the
Pesaran's Common Correlated Effects Mean Group estimator (CCEMG) was
used in order to analyze the sign and elasticity of the examined
relationships. On the all country level the null hypothesis of the GDP
statistical insignificance can be rejected on the 5% level of
significance for both cases: analyzing the relationship between the
total number of publications and the GDP, and the number of citations
per document and the GDP. The Pesaran's Common Correlated Effects Mean
Group estimator was also applied to each cluster separately.
Reprint Address:
Kuchina, E (reprint author), Univ Econ, Econometr De, W Churchill Sq 4, Prague, Czech Republic.
Addresses:
[Kuchina, Elena] Univ Econ, Econometr De, Prague, Czech Republic.
E-mail Addresses:
xkuce10 at vse.cz
Cited Reference Count:
9
Times Cited:
0
Publisher:
INT BUSINESS INFORMATION MANAGEMENT ASSOC-IBIMA, 34 E GERMANTOWN PIKE, NO. 327, NORRISTOWN, PA 19401 USA
ISBN:
978-0-9860419-5-2
Web of Science Categories:
Economics; Management
Research Areas:
Business & Economics
IDS Number:
BE0SX
Unique ID:
WOS:000366872700079
Cited References:
Eberhardt M., 2011, Stata module to investigate Variable/Residual Cross-Section Dependence,
Rezankova H., 2009, Shlukova analyza dat,
SCImago, 2007, SJR - SCImago Journal & Country Rank,
International Monetary Fund, 2015, World Economic Outlook database,
Pesaran M. Hashem, 2006, ECONOMETRICA, V74, P967
World Bank, 2015, Indicators,
Eberhardt Markus, 2012, STATA JOURNAL, V12, P61
Eberhardt M., 2009, MPRA Paper 17692,
Pesaran M. H, 2004, IZA Discussion Paper, No 1240,
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Title:
MAPPING OF HEXAVALENT CHROMIUM REMOVAL RESEARCH: A *BIBLIOMETRIC* ANALYSIS OF RESEARCH OUTPUTS FROM 1975 TO 2012
Authors:
Zhang, BG; Liu, Y; Huang, WL; Li, JX; Feng, CP; Hu, WW
Author Full Names:
Zhang, Baogang; Liu, Ye; Huang, Wenli; Li, Jiaxin; Feng, Chuanping; Hu,
Weiwu
Source:
FRESENIUS ENVIRONMENTAL BULLETIN, 24 (12C):4834-4841; 2015
Language:
English
Document Type:
Article
Author Keywords:
Bibliometric, Research trend, Hexavalent chromium removal, Word cluster analysis
KeyWords Plus:
CR(VI) REDUCTION; AQUEOUS-SOLUTION; ENVIRONMENT; SEPARATION
Abstract:
Hexavalent chromium (Cr(VI)) contamination has become an increasing
problem globally and causes a serious environmental concern. The present
research was designed to evaluate the global scientific outputs by
employing bibliometric analysis in the ISI subject category of "Cr(VI)
removal" for the past 38 years, based on the online version of the
Science Citation Index Expanded, Web of Science, from 1975 to 2012.
Results indicated that Journal of Hazardous Materials published the most
articles. The subject category "environmental sciences" had the greatest
number of output and the most rapid growth since 1994. The USA had a
dominant position in Cr(VI) removal research by contributing the most
total articles, single-country articles, internationally collaborative
articles. "Chinese Academy of Sciences" was the most productive
institution. Analysis of the most cited articles revealed that Cr(VI)
removal distributed in various fields while the adsorption was the main
method. A new bibliometric method-"word cluster analysis" was performed
and the results showed that researchers paid most attention to "water"
and "soil" in the removal field. "Adsorption" and "reduction" also
possessed the largest percentage among the removal methods, indicating
that physical-chemical means dominated Cr(VI) removal. This study is to
serve as an alternative and innovative way of revealing the research
trends in Cr(VI) removal.
Reprint Address:
Zhang, BG (reprint author), China Univ Geosci, Minist Educ China, Sch Water Resources & Environm, Key Lab Groundwater Circulat & Evolut, Beijing 100083, Peoples R China.
Addresses:
[Zhang, Baogang; Liu, Ye; Li, Jiaxin; Feng, Chuanping; Hu, Weiwu] China Univ Geosci, Minist Educ China, Sch Water Resources & Environm, Key Lab Groundwater Circulat & Evolut, Beijing 100083, Peoples R China.
[Huang, Wenli] Nankai Univ, Coll Environm Sci & Engn, Tianjin 300071, Peoples R China.
E-mail Addresses:
zbgcugb at gmail.com
Funding Acknowledgement:
Beijing Excellent Talent Training Project [2013D009015000003]; Beijing Higher Education Young Elite Teacher Project [YETP0657]
Funding Text:
This research work was supported by the Beijing Excellent Talent Training Project (No. 2013D009015000003) and the Beijing Higher Education Young Elite Teacher Project (No. YETP0657).
Cited Reference Count:
27
Times Cited:
0
Publisher:
PARLAR SCIENTIFIC PUBLICATIONS (P S P), ANGERSTR. 12, 85354 FREISING, GERMANY
ISSN:
1018-4619
eISSN:
1610-2304
Web of Science Categories:
Environmental Sciences
Research Areas:
Environmental Sciences & Ecology
IDS Number:
DA3LQ
Unique ID:
WOS:000367699500017
Cited References:
Bai Jinmei, 2014, ENVIRONMENTAL MONITORING AND ASSESSMENT, V186, P8051
Zayed AM, 2003, PLANT AND SOIL, V249, P139
Tiravanti G, 1997, WATER SCIENCE AND TECHNOLOGY2nd IAWQ International Conference on Pretreatment of Industrial Wastewaters, OCT 16-18, 1996, ATHENS, GREECE, V36, P197
Gu BH, 2003, GEOCHIMICA ET COSMOCHIMICA ACTA, V67, P3575
Xie Shaodong, 2008, SCIENTOMETRICS, V77, P113
Schiavon Michela, 2008, JOURNAL OF ENVIRONMENTAL QUALITY, V37, P1536
Kongsricharoern N, 1996, WATER SCIENCE AND TECHNOLOGY18th Biennial Conference of the International-Association-on-Water-Quality, Pt 5: Innovative Treatment Technologies; Membrane Technology, JUN 23-28, 1996, SINGAPORE, SINGAPORE, V34, P109
Kimbrough DE, 1999, CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY, V29, P1
Malarvizhi R., 2010, World Applied Sciences Journal, V8, P930
Mulholland Patrick J., 2008, NATURE, V452, P202
Li J., 2014, Environmental Science and Pollution Research, V20, P2937
Nataraj S. K., 2007, DESALINATION, V217, P181
Chanda S.V., 2009, New Zealand Journal of Crop and Horticultural Science, V31, P115
Fendorf S, 1997, ENVIRONMENTAL SCIENCE & TECHNOLOGY, V31, P315
Seaman JC, 1999, ENVIRONMENTAL SCIENCE & TECHNOLOGY, V33, P938
USEPA (United States Environmental Protection Agency), 1999, Integrated risk information system (IRIS) on chromium, VVI,
Chiu Wen-Ta, 2007, SCIENTOMETRICS, V73, P3
Tang W., 2014, Scientific Reports, V4, P1
Pawlisz AV, 1997, ENVIRONMENTAL TOXICOLOGY AND WATER QUALITY, V12, P123
Liao W.G., 2005, Journal of China Institute of Water Research, V3, P6
Mukherjee Kakali, 2013, RESEARCH ON CHEMICAL INTERMEDIATES, V39, P2267
HUANG SD, 1982, JOURNAL OF COLLOID AND INTERFACE SCIENCE, V89, P504
Liu Junteng, 2009, INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, V48, P4500
Wang Fangfang, 2012, FRESENIUS ENVIRONMENTAL BULLETIN, V21, P3481
Zhang Baogang, 2014, SCIENTOMETRICS, V100, P189
Morales-Barrera Liliana, 2010, FRESENIUS ENVIRONMENTAL BULLETIN, V19, P1640
Alguacil Francisco I., 2009, ENVIRONMENTAL SCIENCE & TECHNOLOGY, V43, P7718
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Title:
*Citation* Enrichment Improves Deduplication of Primary Evidence
Authors:
Choong, MK; Thorning, S; Tsafnat, G
Author Full Names:
Choong, Miew Keen; Thorning, Sarah; Tsafnat, Guy
Edited by:
Li XL; Cao T; Lim EP; Zhou ZH; Ho TB; Cheung D; Motoda H
Source:
TRENDS AND APPLICATIONS IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2015, 9441 237-244; 10.1007/978-3-319-25660-3_20 2015
Book Series:
Lecture Notes in Artificial Intelligence
Language:
English
Document Type:
Proceedings Paper
Conference Title:
19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
Conference Date:
MAY 19-22, 2015
Conference Location:
John Neumann Inst, Ho Chi Minh City, VIETNAM
Conference Sponsors:
Air Force Off Sci Res, Asian Off Aerosp Res and Dev, Japan Adv Inst Sci & Technol, Univ Technol, Univ Sci, Vietnam Natl Univ, Univ Informat Technol
Conference Host:
John Neumann Inst
Author Keywords:
Evidence, Information retrieval, Citation de-duplication
KeyWords Plus:
SYSTEMATIC REVIEWS
Abstract:
Objective: To automatically detect duplicate citations in a
bibliographical database.
Background: Citations retrieved from multiple search databases have
different forms making manual and automatic detection of duplicates
difficult. Existing methods rely on fuzzy-similarity measures which are
error-prone.
Methods: We analysed four pairs of original search results from MEDLINE
and EMBASE that were used to create systematic reviews. An automatic
tool deduplicated citations by first enriching citations with Digital
Object Identifiers (DOI), and/or other unique identifiers. Duplication
of records was then determined by comparing these unique identifiers. We
compared our method with the duplicate detection function of a popular
citation management desktop application in several configurations.
Results: Citation Enrichment identified 93 % (range 86 %-100 %) of the
duplicates indexed online and erroneously marked 3 % (range 0 %-6 %)
documents as duplicates. The citation management application found 68 %
(range 64 %-72 %) without error using default setting. When set for
highest de-duplication, the citation management application found 94 %
of duplicates (range 77 %-100 %) and 4 % error (range 0 %-8 %).
Conclusion: Citation enrichment using unique identifiers enhances
automatic deduplication. On its own, the approach seems slightly
superior to tools that compare citations without enrichment. Methods
that combine citation enrichment with existing fuzzy-matching may
substantially reduce resource requirements of evidence synthesis.
Reprint Address:
Choong, MK (reprint author), Macquarie Univ, Fac Med & Hlth Sci, Australian Inst Hlth Innovat, Ctr Hlth Informat, Sydney, NSW 2109, Australia.
Addresses:
[Choong, Miew Keen; Tsafnat, Guy] Macquarie Univ, Fac Med & Hlth Sci, Australian Inst Hlth Innovat, Ctr Hlth Informat, Sydney, NSW 2109, Australia.
[Choong, Miew Keen] Macquarie Univ, Australian Inst Hlth Innovat, N Ryde, NSW 2113, Australia.
[Thorning, Sarah] Bond Univ, Fac Hlth Sci & Med, Gold Coast, Qld, Australia.
E-mail Addresses:
miewkeen.choong at mq.edu.au; sthornin at bond.edu.au; guy.tsafnat at mq.edu.au
Cited Reference Count:
15
Times Cited:
0
Publisher:
SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
ISSN:
0302-9743
ISBN:
978-3-319-25660-3; 978-3-319-25659-7
Web of Science Categories:
Computer Science, Artificial Intelligence
Research Areas:
Computer Science
IDS Number:
BE1CF
Unique ID:
WOS:000367710200020
Cited References:
Chaudhuri S., 2005, 21st International Conference on Data Engineering, 2005, ICDE 2005, Proceedings,
Coxeter P., 2014, Cochrane Database Syst. Rev., V1, P1
Choong Miew Keen, 2014, JOURNAL OF MEDICAL INTERNET RESEARCH, V16, P142
Jiang Yu, 2014, DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION,
Lefebvre C., 2011,
Choong M. K., 2014, J. Med. Internet Res., V16,
Pugh Richard, 2011, COCHRANE DATABASE OF SYSTEMATIC REVIEWS,
Maconochie Ian K., 2014, COCHRANE DATABASE OF SYSTEMATIC REVIEWS,
Rathbone John, 2015, Systematic reviews, V4, P6
Elmagarmid Ahmed K., 2007, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, V19, P1
Tsafnat Guy, 2013, BMJ-BRITISH MEDICAL JOURNAL, V346,
Gillies M., 2014, Harms from amoxicillin: a systematic review and meta-analysis of randomised controlled trials for any indication,
Qi Xingshun, 2013, PLOS ONE, V8,
Borges E. N., 2011, Proceedings of the IADIS International Conference WWW/Internet 2011,
Carvalho M. G., 2008, Proceedings of the 2008 ACM symposium on Applied computing,
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