papers of interest to Sig Metrics
Eugene Garfield
eugene.garfield at THOMSONREUTERS.COM
Mon Oct 15 19:32:31 EDT 2012
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TITLE: Measuring author research relatedness: A comparison of
word-based, topic-based, and author cocitation approaches (Article,
English)
AUTHOR: Lu, K; Wolfram, D
SOURCE: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE
AND TECHNOLOGY 63 (10). OCT 2012. p.1973-1986
WILEY-BLACKWELL, HOBOKEN
SEARCH TERM(S): KESSLER MM AM DOC 14:10 1963;
SMALL H J AM SOC INFORM SCI 24:265 1973;
WHITE HD J AM SOC INFORM SCI 32:163 1981;
COCITATION* item_title
KEYWORDS: multidimensional scaling; informetrics
KEYWORDS+: LATENT DIRICHLET ALLOCATION; INFORMATION-SCIENCE;
CITATION; NETWORKS; LIBRARY
ABSTRACT: Relationships between authors based on characteristics of
published literature have been studied for decades. Author cocitation
analysis using mapping techniques has been most frequently used to study
how closely two authors are thought to be in intellectual space based on
how members of the research community co-cite their works. Other
approaches exist to study author relatedness based more directly on the
text of their published works. In this study we present static and
dynamic word-based approaches using vector space modeling, as well as a
topic-based approach based on latent Dirichlet allocation for mapping
author research relatedness. Vector space modeling is used to define an
author space consisting of works by a given author. Outcomes for the two
word-based approaches and a topic-based approach for 50 prolific authors
in library and information science are compared with more traditional
author cocitation analysis using multidimensional scaling and
hierarchical cluster analysis. The two word-based approaches produced
similar outcomes except where two authors were frequent co-authors for
the majority of their articles. The topic-based approach produced the
most distinctive map.
AUTHOR ADDRESS: K Lu, Univ Wisconsin, Sch Informat Studies, POB 413,
Milwaukee, WI 53201 USA
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TITLE: The Anna Karenina principle: A way of thinking about
success in science (Review, English)
AUTHOR: Bornmann, L; Marx, W
SOURCE: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE
AND TECHNOLOGY 63 (10). OCT 2012. p.2037-2051
WILEY-BLACKWELL, HOBOKEN
SEARCH TERM(S):
MERTON RK SCIENCE 159:56 1968;
GARFIELD E SCIENCE 178:471 1972
KEYWORDS: bibliometrics; sociology
KEYWORDS+: EXTRA-GALACTIC NEBULAE; SCIENTIFIC DISCOVERY; EARTHS
CONTINENTS; CITATION COUNTS; MAGNETIC SURVEY; GENERAL-
THEORY; QUANTUM-THEORY; WEST COAST; RELATIVITY;
BIBLIOMETRICS
ABSTRACT: The first sentence of Leo Tolstoy's (18751877/2001) novel
Anna Karenina is: Happy families are all alike; every unhappy family is
unhappy in its own way. Here, Tolstoy means that for a family to be
happy, several key aspects must be given (e.g., good health of all family
members, acceptable financial security, and mutual affection). If there
is a deficiency in any one or more of these key aspects, the family will
be unhappy. In this article, we introduce the Anna Karenina principle as
a way of thinking about success in science in three central areas in
(modern) science: (a) peer review of research grant proposals and
manuscripts (money and journal space as scarce resources), (b) citation
of publications (reception as a scarce resource), and (c) new scientific
discoveries (recognition as a scarce resource). If resources are scarce
at the highly competitive research front (journal space, funds,
reception, and recognition), there can be success only when several key
prerequisites for the allocation of the resources are fulfilled. If any
one of these prerequisites is not fulfilled, the grant proposal,
manuscript submission, the published paper, or the discovery will not be
successful.
AUTHOR ADDRESS: L Bornmann, Adm Headquarters Max Planck Soc, Div Sci &
Innovat Studies, Hofgartenstr 8, D-80539 Munich, Germany
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TITLE: A humble servant: The work of Helen L. Brownson and the
early years of information science research (Article, English)
AUTHOR: Jayroe, TJ
SOURCE: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE
AND TECHNOLOGY 63 (10). OCT 2012. p.2052-2061
WILEY-BLACKWELL, HOBOKEN
SEARCH TERM(S): CLEVERDON CW rauth; GARFIELD E rauth; PRICE DJD rauth;
GARFIELD E J INFORM SCI 18:343 1992
KEYWORDS: information science history; information resouces
management; knowledge management; information
professionals; oral history
KEYWORDS+: RETRIEVAL; THESAURUS
ABSTRACT: Helen Brownson was a federal government employee from
1942 to 1970. At a time when scientific data were becoming exceedingly
hard to manage, Brownson was instrumental in coordinating national and
international efforts for more efficient, cost-effective, and universal
information exchange. Her most significant contributions to
documentation/information science were during her years at the National
Science Foundation's Office of Scientific Information. From 1951 to 1966,
Brownson played a key role in identifying and subsequently distributing
government funds toward projects that sought to resolve information-
handling problems of the time: information access, preservation, storage,
classification, and retrieval. She is credited for communicating the need
for information systems and indexing mechanisms to have stricter
criteria, standards, and evaluation methods; laying the foundation for
present-day NSF-funded computational linguistics projects; and founding
several pertinent documentation/information science publications
including the Annual Review of Information Science and Technology.
AUTHOR ADDRESS: TJ Jayroe, Univ Wisconsin, Sch Informat Studies, POB 413,
Milwaukee, WI 53201 USA
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TITLE: Inconsistencies of recently proposed citation impact
indicators and how to avoid them (Article, English)
AUTHOR: Schreiber, M
SOURCE: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE
AND TECHNOLOGY 63 (10). OCT 2012. p.2062-2073
WILEY-BLACKWELL, HOBOKEN
SEARCH TERM(S): CITATION item_title; CITATION* item_title
KEYWORDS: quantitative research; physical sciences
KEYWORDS+: INDEX
ABSTRACT: It is shown that under certain circumstances in
particular for small data sets, the recently proposed citation impact
indicators I3(6PR) and R(6,k) behave inconsistently when additional
papers or citations are taken into consideration. Three simple examples
are presented, in which the indicators fluctuate strongly and the ranking
of scientists in the evaluated group is sometimes completely mixed up by
minor changes in the database. The erratic behavior is traced to the
specific way in which weights are attributed to the six percentile rank
classes, specifically for the tied papers. For 100 percentile rank
classes, the effects will be less serious. For the six classes, it is
demonstrated that a different way of assigning weights avoids these
problems, although the nonlinearity of the weights for the different
percentile rank classes can still lead to (much less frequent) changes in
the ranking. This behavior is not undesired because it can be used to
correct for differences in citation behavior in different fields.
Remaining deviations from the theoretical value R(6,k)?=?1.91 can be
avoided by a new scoring rule: the fractional scoring. Previously
proposed consistency criteria are amended by another property of strict
independence at which a performance indicator should aim.
AUTHOR ADDRESS: M Schreiber, Tech Univ Chemnitz, Inst Phys, D-09107
Chemnitz, Germany
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TITLE: Distributive h-indices for measuring multilevel impact
(Article, English)
AUTHOR: Zhao, SX; Tan, AM; Ye, FY
SOURCE: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE
AND TECHNOLOGY 63 (10). OCT 2012. p.2074-2086
WILEY-BLACKWELL, HOBOKEN
SEARCH TERM(S): HIRSCH JE P NATL ACAD SCI USA 102:16569 2005
KEYWORDS: citation analysis
KEYWORDS+: SCIENTIFIC-RESEARCH OUTPUT; HIRSCH-INDEX; INFORMATION-
SCIENCE; INDICATORS; JOURNALS; CITATION; LAW; PERFORMANCE;
NETWORKS; SYSTEM
ABSTRACT: For measuring multilevel impact, we introduce the
distributive h-indices, which balance two important components (breadth
and strength) of multilevel impact at various citing levels. After
exploring the theoretical properties of these indices, we studied two
cases: 57 library and information science (LIS) journals and social
science research in 38 European countries/territories. Results reveal
that there are approximate power-law relations between distributive h-
indices and some underlying citation indicators, such as total citations,
total citing entities, and the h-index. Distributive h-indices provide
comprehensive measures for multilevel impact, and lead to a potential
tool for citation analysis, particularly at aggregative levels.
AUTHOR ADDRESS: SX Zhao, Zhejiang Univ, Dept Informat Resource Management,
38 Zheda Rd, Hangzhou 310027, Peoples R China
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TITLE: Remarks on the paper by A. De Visscher, "what does the g-
index really measure?" (Article, English)
AUTHOR: Egghe, L
SOURCE: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE
AND TECHNOLOGY 63 (10). OCT 2012. p.2118-2121
WILEY-BLACKWELL, HOBOKEN
SEARCH TERM(S): HIRSCH JE P NATL ACAD SCI USA 102:16569 2005;
EGGHE L primaryauthor,author
KEYWORDS: informetrics
KEYWORDS+: H-INDEX; HIRSCH-INDEX; R-INDEX
ABSTRACT: The author presents a different view on properties of
impact measures than given in the paper of De Visscher (2011). He argues
that a good impact measure works better when citations are concentrated
rather than spread out over articles. The author also presents
theoretical evidence that the g-index and the R-index can be close to the
square root of the total number of citations, whereas this is not the
case for the A-index. Here the author confirms an assertion of De
Visscher.
AUTHOR ADDRESS: L Egghe, Univ Hasselt UHasselt, Campus
Diepenbeek,Agoralaan, B-3590 Diepenbeek, Belgium
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