Papers of possible interest to readers of Sig Metrics listserv (1)
Eugene Garfield
eugene.garfield at THOMSONREUTERS.COM
Sat Aug 3 18:24:03 EDT 2013
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Title:
*Bibliographic* coupling and network analysis to assess knowledge coalescence in a research center environment
Authors:
Youtie, J; Kay, L; Melkers, J
Author Full Names:
Youtie, Jan; Kay, Luciano; Melkers, Julia
Source:
RESEARCH EVALUATION, 22 (3):145-156; 10.1093/reseval/rvt002 SEP 2013
Language:
English
Document Type:
Article
Author Keywords:
bibliographic coupling, science centers, network analysis, scientific collaboration
KeyWords Plus:
RESEARCH COLLABORATION; UNIVERSITY-RESEARCH; SELF-ORGANIZATION; CITATION; SCIENCE; INTERDISCIPLINARITY; COCITATION; JOURNALS; FACULTY; IMPACT
Abstract:
Science is increasingly organized in large-scale science centers.
Expectations are that center-based research should yield qualitatively
different research than single-investigator-produced research, but
demonstrating the particular effects of a center is challenging. The
notion of 'centerness' is that science centers can yield findings that
reflect conceptual collisions across disciplinary or geographic
boundaries between a center's scientific members. Collaborative research
commonly is assessed using co-authorships of scientific publications.
Co-authorship measures can be conveniently and unobtrusively
operationalized, yet they can yield indicators (especially for a small
center) showing little change in collaboration in a center-context,
while richer findings of collaboration are evidenced in observing other
aspects of center members' behavior. This article puts forth the use of
social network analysis and *bibliographic* coupling as measures of
'centerness' and presents their characteristics in the context of an
National Science Foundation (NSF) science center. *Bibliographic*
coupling is characterized as a measure of centerness over the time
period of the establishment of an NSF-funded science center. We also
examine changes in *bibliographic* coupling indicators alongside changes
in co-authorship networks and a social network survey of center
participants. *Bibliographic* coupling is shown to make a distinctive
contribution to measurement of centerness, demonstrating increasing
coupling from the pre-center and since-center periods. This increase in
centerness as represented in *bibliographic* coupling does not
dramatically change when self-citations are removed. Overall, results
show this to be a useful and consistent measure of centerness and
knowledge coalescence within the research center environment.
Addresses:
[Youtie, Jan] Georgia Inst Technol, Enterprise Innovat Inst, Atlanta, GA 30332 USA.
[Youtie, Jan; Kay, Luciano; Melkers, Julia] Georgia Inst Technol, Sch Publ Policy, Atlanta, GA 30332 USA.
E-mail Addresses:
jan.youtie at innovate.gatech.edu
Cited Reference Count:
45
Times Cited:
0
Publisher:
OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
ISSN:
0958-2029
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
173DZ
Unique ID:
WOS:000321059600001
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Title:
Exploring heterogeneous information networks and random walk with restart for academic search
Authors:
Chiang, MF; Liou, JJ; Wang, JL; Peng, WC; Shan, MK
Author Full Names:
Chiang, Meng-Fen; Liou, Jiun-Jiue; Wang, Jen-Liang; Peng, Wen-Chih;
Shan, Man-Kwan
Source:
KNOWLEDGE AND INFORMATION SYSTEMS, 36 (1):59-82; 10.1007/s10115-012-0523-8 JUL 2013
Language:
English
Document Type:
Article
Author Keywords:
Academic search, Bibliographic information networks
Abstract:
In this paper, we explore heterogenous information networks in which
each vertex represents one entity and the edges reflect linkage
relationships. Heterogenous information networks contain vertices of
several entity types, such as papers, authors and terms, and hence can
fully reflect multiple linkage relationships among different entities.
Such a heterogeneous information network is similar to a mixed media
graph (MMG). By representing a *bibliographic* dataset as an MMG, the
performance obtained when searching relevant entities (e.g., papers) can
be improved. Furthermore, our academic search enables multiple-entity
search, where a variety of entity search results are provided, such as
relevant papers, authors and conferences, via a one-time query.
Explicitly, given a *bibliographic* dataset, we propose a Global-MMG, in
which a global heterogeneous information network is built. When a user
submits a query keyword, we perform a random walk with restart (RWR) to
retrieve papers or other types of entity objects. To reduce the query
response time, algorithm Net-MMG (standing for NetClus-based MMG) is
developed. Algorithm Net-MMG first divides a heterogeneous information
network into a collection of sub-networks. Afterward, the Net-MMG
performs a RWR on a set of selected relevant sub-networks. We
implemented our academic search and conducted extensive experiments
using the ACM Digital Library. The experimental results show that by
exploring heterogeneous information networks and RWR, both the
Global-MMG and Net-MMG achieve better search quality compared with
existing academic search services. In addition, the Net-MMG has a
shorter query response time while still guaranteeing good quality in
search results.
Addresses:
[Chiang, Meng-Fen; Peng, Wen-Chih] Natl Chiao Tung Univ, Dept Comp Sci, Hsinchu, Taiwan.
[Wang, Jen-Liang; Shan, Man-Kwan] Natl Chengchi Univ, Taipei 11623, Taiwan.
E-mail Addresses:
wcpeng at cs.nctu.edu.tw
Cited Reference Count:
31
Times Cited:
0
Publisher:
SPRINGER LONDON LTD, 236 GRAYS INN RD, 6TH FLOOR, LONDON WC1X 8HL, ENGLAND
ISSN:
0219-1377
Web of Science Categories:
Computer Science, Artificial Intelligence; Computer Science, Information Systems
Research Areas:
Computer Science
IDS Number:
161ZM
Unique ID:
WOS:000320233600003
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Title:
Comparing Bayesian and Frequentist Approaches for Multiple Outcome Mixed Treatment Comparisons
Authors:
Hong, H; Carlin, BP; Shamliyan, TA; Wyman, JF; Ramakrishnan, R;
Sainfort, F; Kane, RL
Author Full Names:
Hong, Hwanhee; Carlin, Bradley P.; Shamliyan, Tatyana A.; Wyman, Jean
F.; Ramakrishnan, Rema; Sainfort, Francois; Kane, Robert L.
Source:
MEDICAL DECISION MAKING, 33 (5):702-714; 10.1177/0272989X13481110 JUL 2013
Language:
English
Document Type:
Article
Author Keywords:
nephrology, Bayesian meta-analysis, comparative effectiveness, systematic reviews, hierarchical models
KeyWords Plus:
ISPOR TASK-FORCE; NETWORK METAANALYSIS; HEALTH-CARE; INTERVENTIONS
Abstract:
Objectives. Bayesian statistical methods are increasingly popular as a
tool for meta-analysis of clinical trial data involving both direct and
indirect treatment comparisons. However, appropriate selection of prior
distributions for unknown model parameters and checking of consistency
assumptions required for modeling remain particularly challenging. We
compared Bayesian and traditional frequentist statistical methods for
mixed treatment comparisons with multiple binary outcomes. Data. We
searched major electronic *bibliographic* databases, Food and Drug
Administration reviews, trial registries, and research grant databases
up to December 2011 to find randomized studies published in English that
examined drugs for female urgency urinary incontinence (UI) on
continence, improvement in UI, and treatment discontinuation due to
harm. Methods. We describe and fit fixed and random effects models in
both Bayesian and frequentist statistical frameworks. In a hierarchical
model of 8 treatments, we separately analyze 1 safety and 2 efficacy
outcomes. We produce Bayesian and frequentist treatment ranks and odds
ratios across all drug v placebo comparisons, as well as Bayesian
probabilities that each drug is best overall through a weighted scoring
rule that trades off efficacy and safety. Results. In our study,
Bayesian and frequentist random effects models generally suggest the
same drugs as most attractive, although neither suggests any significant
differences between drugs. However, the Bayesian methods more
consistently identify one drug (propiverine) as best overall, produce
interval estimates that are generally better at capturing all sources of
uncertainty in the data, and also permit attractive rankograms that
visually capture the probability that each drug assumes each possible
rank. Conclusions. Bayesian methods are more flexible and their results
more clinically interpretable, but they require more careful development
and specialized software.
Addresses:
[Hong, Hwanhee; Carlin, Bradley P.] Univ Minnesota, Div Biostat, Minneapolis, MN 55455 USA.
[Shamliyan, Tatyana A.; Wyman, Jean F.; Ramakrishnan, Rema; Sainfort, Francois; Kane, Robert L.] Univ Minnesota, Div Hlth Policy & Management, Minneapolis, MN 55455 USA.
E-mail Addresses:
hong0362 at umn.edu
Cited Reference Count:
31
Times Cited:
0
Publisher:
SAGE PUBLICATIONS INC, 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
ISSN:
0272-989X
Web of Science Categories:
Health Care Sciences & Services; Medical Informatics
Research Areas:
Health Care Sciences & Services; Medical Informatics
IDS Number:
172FW
Unique ID:
WOS:000320986600009
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Riley Richard D., 2008, STATISTICS IN MEDICINE, V27, P1870
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Wells G, 2009, Canadian Agency for Drugs and Technologies in Health,
Jansen Jeroen P., 2011, VALUE IN HEALTH, V14, P417
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Title:
Over- or underestimated? *Bibliographic* survey of the biomedical periodicals published in Hungary
Authors:
Berhidi, A; Horvath, K; Horvath, G; Vasas, L
Author Full Names:
Berhidi Anna; Horvath Katalin; Horvath Gabriella; Vasas Livia
Source:
ORVOSI HETILAP, 154 (26):1010-1017; 10.1556/OH.2013.29653 JUN 2013
Language:
Hungarian
Document Type:
Article
Author Keywords:
medical and life sciences, journal analyses, publishing, databases, Hungary
Abstract:
Introduction: This publication - based on an article published in 2006 -
emphasises the qualities of the current biomedical periodicals of
Hungarian editions. Aim: The aim of this study was to analyse how
Hungarian journals meet the requirements of the scientific aspect and
international visibility. Method: Authors evaluated 93 Hungarian
biomedical periodicals by 4 viewpoints of the two criteria mentioned
above. Results: 35% of the analysed journals complete the attributes of
scientific aspect, 5% the international visibility, 6% fulfill all
examined criteria, and 25% are indexed in international databases.
Consclusions: 6 biomedical Hungarian periodicals covered by each of the
three main *bibliographic* databases (Medline, Scopus, Web of Science)
have the best qualities. Authors recommend to improve viewpoints of the
scientific aspect and international visibility. The basis of qualitative
adequacy are the accurate authors' guidelines, title, abstract, keywords
of the articles in English, and the ability to publish on time.
Addresses:
[Berhidi Anna; Vasas Livia] Semmelweis Egyet, Kozponti Konyvtar, Budapest, Hungary.
[Horvath Katalin; Horvath Gabriella] ComFit Kft, Budapest, Hungary.
E-mail Addresses:
aberhidi at lib.sote.hu
Cited Reference Count:
9
Times Cited:
0
Publisher:
AKADEMIAI KIADO RT, PRIELLE K U 19, PO BOX 245,, H-1117 BUDAPEST, HUNGARY
ISSN:
0030-6002
Web of Science Categories:
Medicine, General & Internal
Research Areas:
General & Internal Medicine
IDS Number:
171MX
Unique ID:
WOS:000320934600002
Cited References:
Berhidi Anna, 2006, Orvosi Hetilap, V147, P457
[Anonymous], 2012, Master Journal List,
[Anonymous], 2013, NLM Catalog: Journals referenced in the NCBI Databases,
Committee on Publication Ethics (COPE), 2009, Guidelines,
International Committee of Medical Journal Editors (ICMJE), 2009, Uniform Requirements for Manuscripts Submitted to Biomedical Journals: Writing and Editing for Biomedical Publication,
SciVerse Scopus, 2012, List of titles,
Testa J., 2012, The Thomson Reuters Journal Selection Process,
Hungarian Scientific Bibliography Database, 2009, Non-scientific Hungarian periodicalsMagyar Tudomanyos Muvek Tara. Kozerdeku es ismeretterjeszto magyar periodikak,
Berhidi Anna, 2010, Orvosi hetilap, V151, P184
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Title:
Human rights. Right to health. Right to health information. The Venezuelan biomedical *journals*
Authors:
Stegemann, H
Author Full Names:
Stegemann, Herbert
Source:
INVESTIGACION CLINICA, 54 (2):119-121; JUN 2013
Language:
Spanish
Document Type:
Editorial Material
Cited Reference Count:
5
Times Cited:
0
Publisher:
INST INVESTIGACION CLINICA, APARTADO 23, MARACAIBO 4001-A, VENEZUELA
ISSN:
0535-5133
Web of Science Categories:
Medicine, Research & Experimental
Research Areas:
Research & Experimental Medicine
IDS Number:
167KL
Unique ID:
WOS:000320630800001
Cited References:
Costas R., Users, narcissism and control-tracking the impact of scholarly publications in the 21st century,
Stegemann H, 2012, Rev Med Hondur, V80, P143
2012, Rev. Soc. Venez. Hist. Med., V60, P3
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Title:
Visual Analysis of Set Relations in a Graph
Authors:
Xu, PP; Du, F; Cao, N; Shi, CL; Zhou, H; Qu, HM
Author Full Names:
Xu, Panpan; Du, Fan; Cao, Nan; Shi, Conglei; Zhou, Hong; Qu, Huamin
Source:
COMPUTER GRAPHICS FORUM, 32 (3):61-70; 10.1111/cgf.12093 1 JUN 2013
Language:
English
Document Type:
Article
Author Keywords:
H, 5, 2 [Information Interfaces and Presentations]: User InterfacesGraphical user interfaces (GUI)
KeyWords Plus:
SOCIAL NETWORKS; VISUALIZATION; DIAGRAMS; HYPERGRAPHS
Abstract:
Many applications can be modeled as a graph with additional attributes
attached to the nodes. For example, a graph can be used to model the
relationship of people in a social media website or a *bibliographical*
dataset. Meanwhile, additional information is often available, such as
the topics people are interested in and the music they listen to. Based
on this additional information, different set relationships may exist
among people. Revealing the set relationships in a network can help
people gain social insight and better understand their roles within a
community. In this paper, we present a visualization system for
exploring set relations in a graph. Our system is designed to reveal
three different relationships simultaneously: the social relationship of
people, the set relationship among people's items of interest, and the
similarity relationship of the items. We propose two novel visualization
designs: a) a glyph-based visualization to reveal people's set
relationships in the context of their social networks; b) an integration
of visual links and a contour map to show people and their items of
interest which are clustered into different groups. The effectiveness of
the designs has been demonstrated by the case studies on two
representative datasets including one from a social music service
website and another from an academic collaboration network.
Categories and Subject Descriptors (according to ACM CCS): H. 5.2
[Information Interfaces and Presentations]: User Interfaces-Graphical
user interfaces (GUI)
Addresses:
[Xu, Panpan; Shi, Conglei; Qu, Huamin] Hong Kong Univ Sci & Technol, Hong Kong, Hong Kong, Peoples R China.
[Du, Fan] Zhejiang Univ, Hangzhou, Zhejiang, Peoples R China.
[Cao, Nan] IBM Corp, TJ Watson Res Ctr, Armonk, NY 10504 USA.
[Zhou, Hong] Shenzhen Univ, Shenzhen, Peoples R China.
Funding Acknowledgement:
Foundation for Distinguished Young Talents in Higher Education of Guangdong, China [LYM11113]; NSF of China [61103055]; MSRA
Funding Text:
We would like to thank Shauna Dalton for proofreading and the anonymous reviewers for their valuable and constructive comments. Hong Zhou is supported by Foundation for Distinguished Young Talents in Higher Education of Guangdong, China (No. LYM11113) and NSF of China Project (No. 61103055). Huamin Qu is supported by a grant from MSRA. Fan Du contributed to this paper during his visit to the Hong Kong University of Science and Technology.
Cited Reference Count:
28
Times Cited:
0
Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
ISSN:
0167-7055
Web of Science Categories:
Computer Science, Software Engineering
Research Areas:
Computer Science
IDS Number:
174VQ
Unique ID:
WOS:000321185100007
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Title:
Towards an econophysics view of intellectual capital dynamics: from self-organized criticality to the stochastic frontier
Authors:
McKelvey, B; Salmador, MP; Morcillo, P; Rodriguez-Anton, JM
Author Full Names:
McKelvey, Bill; Paz Salmador, Maria; Morcillo, Patricio; Miguel
Rodriguez-Anton, Jose
Source:
KNOWLEDGE MANAGEMENT RESEARCH & PRACTICE, 11 (2):142-161; SI 10.1057/kmrp.2013.18 MAY 2013
Language:
English
Document Type:
Article
Author Keywords:
intellectual capital, stochastic frontier, complexity dynamics, self-organized criticality, fractals, power laws
KeyWords Plus:
KNOWLEDGE CREATION; COMPLEXITY THEORY; SCALING BEHAVIOR; POWER LAWS; ZIPFS LAW; NETWORKS; ORGANIZATIONS; COMPANIES; STRATEGY; EMERGENT
Abstract:
The paper begins with research studying the concept and nature of
Intellectual Capital (IC), as well as how close IC firms are to the
stochastic frontier. Then basic concepts of complexity theory such as
agents, self-organized criticality (SOC), connectivities, fractals, and
power laws (PLs) are used to distinguish between two kinds of IC firms'
success: traditional SOC applications to how firms maintain their
position in a changing industry vs. how an IC firm (such as Apple)
creates a new stochastic frontier. The research sets up PLs as
indicators of whether or not firms and industries are SOC-effective and
includes propositions about: (1) How IC firms benefit from complexity
dynamics and SOC; (2) How PL distributions are indicators of efficacious
SOC and adaptivity; and (3) Why IC attributes serve to create more
transient dynamics pertaining to the stochastic frontier and the rest of
the industry's rank/frequency distribution.
Addresses:
[McKelvey, Bill] Euromed Management Sch, Marseille, France.
[Paz Salmador, Maria; Morcillo, Patricio; Miguel Rodriguez-Anton, Jose] Univ Autonoma Madrid, E-28049 Madrid, Spain.
E-mail Addresses:
mckelvey at anderson.ucla.edu
Cited Reference Count:
212
Times Cited:
0
Publisher:
PALGRAVE MACMILLAN LTD, BRUNEL RD BLDG, HOUNDMILLS, BASINGSTOKE RG21 6XS, HANTS, ENGLAND
ISSN:
1477-8238
Web of Science Categories:
Information Science & Library Science; Management
Research Areas:
Information Science & Library Science; Business & Economics
IDS Number:
168WS
Unique ID:
WOS:000320739200006
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Title:
The contribution of high-impact clinical *journals* to science: the case of The Lancet
Authors:
Ugalde, A; Homedes, N
Author Full Names:
Ugalde, Antonio; Homedes, Nuria
Source:
SALUD COLECTIVA, 9 (1):5-10; JAN-APR 2013
Language:
Spanish
Document Type:
Editorial Material
Addresses:
[Ugalde, Antonio] Univ Texas Austin, Dept Sociol, Austin, TX 78712 USA.
[Homedes, Nuria] Univ Texas, Hlth Sci Ctr Houston, Fac Salud Publ, Houston, TX USA.
E-mail Addresses:
augalde at mail.utexas.edu; nhomedes at utep.edu
Cited Reference Count:
14
Times Cited:
0
Publisher:
UNIVERSIDAD NACIONAL DE LANUS, 29 DE SEPTIEMBRE 3901, LANUS, BUENOS AIRES, CP 1826, ARGENTINA
ISSN:
1851-8265
Web of Science Categories:
Public, Environmental & Occupational Health
Research Areas:
Public, Environmental & Occupational Health
IDS Number:
174ZF
Unique ID:
WOS:000321196800001
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