Contents of Journal of Informetrics, 3(1): 1-90, January 2009
Eugene Garfield
eugene.garfield at THOMSON.COM
Tue Feb 3 16:12:40 EST 2009
Journal of Informetrics
Volume 3, Issue 1, Pages 1-90 (January 2009)
ABSTRACTS, AUTHOR ADDRESSES, ETC. FOLLOW BELOW AFTER CONTENTS PAGE:
Edwin A. Henneken, Michael J. Kurtz, Alberto Accomazzi, Carolyn S. Grant,
Donna Thompson, Elizabeth Bohlen, Stephen S. Murray
Use of astronomical literature—A report on usage patterns
Pg. 1
Daniel Torres-Salinas, Henk F. Moed
Library Catalog Analysis as a tool in studies of social sciences and
humanities: An exploratory study of published book titles in Economics
Pg.9
Lutz Bornmann, Werner Marx, Hermann Schier, Erhard Rahm, Andreas Thor, Hans-
Dieter Daniel
Convergent validity of bibliometric Google Scholar data in the field of
chemistry—Citation counts for papers that were accepted by Angewandte
Chemie International Edition or rejected but published elsewhere,
using Google Scholar, Science Citation Index, Scopus, and Chemical
Abstracts
Pg.27
Eleftheria Vasileiadou
Stabilisation operationalised: Using time series analysis to understand the
dynamics of research collaboration
Pg. 36
Per Ahlgren, Cristian Colliander
Document–document similarity approaches and science mapping: Experimental
comparison of five approaches
Pg. 49
Raf Guns, Ronald Rousseau
Real and rational variants of the h-index and the g-index
Pg.64
Laila Khreisat
A machine learning approach for Arabic text classification using N-gram
frequency statistics
Pg. 72
Amir Hosein Keyhanipour, Maryam Piroozmand, Kambiz Badie
A GP-adaptive web ranking discovery framework based on combinative content
and context features
Pg.78
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Use of astronomical literature—A report on usage patterns
Edwin A. Henneken a, Michael J. Kurtza, Alberto Accomazzia, Carolyn S.
Granta, Donna Thompsona, Elizabeth Bohlena and Stephen S. Murraya
Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge,
MA 02138, USA
Abstract
In this paper we present a number of metrics for usage of the SAO/NASA
Astrophysics Data System (ADS). Since the ADS is used by the entire
astronomical community, these are indicative of how the astronomical
literature is used. We will show how the use of the ADS has changed both
quantitatively and qualitatively. We will also show that different types of
users access the system in different ways. Finally, we show how use of the
ADS has evolved over the years in various regions of the world.
Address for correspondence:
Edwin A. Henneken
Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge,
MA 02138, USA
ehenneken at cfa.harvard.edu
Journal of Informetrics Volume 3, Issue 1, January 2009, Pages 1-8
http://dx.doi.org/10.1016/j.joi.2008.10.001
-----------------------------------------------
Library Catalog Analysis as a tool in studies of social sciences and
humanities: An exploratory study of published book titles in Economics
Daniel Torres-Salinasa, and Henk F. Moedb
aEvaluación de la Ciencia y de la Comunicación Científica, Centro de
Investigación Médica Aplicada, Universidad de Navarra, Pamplona, Spain
bCentre for Science and Technology Studies (CWTS), Leiden University, The
Netherlands
Abstract
This paper explores the use of Library Catalog Analysis (LCA), defined as
the application of bibliometric or informetric techniques to a set of
library online catalogs, to describe quantitatively a scientific-scholarly
field on the basis of published book titles. It focuses on its value as a
tool in studies of Social Sciences and Humanities, especially its cognitive
structures, main book publishers and the research performance of its
actors. The paper proposes an analogy model between traditional citation
analysis of journal articles and Library Catalog Analysis of book titles.
It presents the outcomes of an exploratory study of book titles in
Economics included in 42 academic library catalogs from 7 countries. It
describes the process of data collection and cleaning, and applies a series
of indicators and thematic mapping techniques. It illustrates how LCA can
be fruitfully used to assess book production and research performance at
the level of an individual researcher, a research department, an entire
country and a book publisher. It discusses a number of issues that should
be addressed in follow-up studies and concludes that LCA of published book
titles can be developed into a powerful and useful tool in studies of
Social Sciences and Humanities.
Address for correspondence:
Henk F. Moed
Leiden University, Leiden, NETHERLANDS
moed at cwts.leidenuniv.nl
Journal of Informetrics Volume 3, Issue 1, January 2009, Pages 9-26
http://dx.doi.org/10.1016/j.joi.2008.10.002
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Convergent validity of bibliometric Google Scholar data in the field of
chemistry—Citation counts for papers that were accepted by Angewandte
Chemie International Edition or rejected but published elsewhere, using
Google Scholar, Science Citation Index, Scopus, and Chemical Abstracts
Lutz Bornmanna, , , Werner Marxb, Hermann Schierb, Erhard Rahmc, Andreas
Thorc and Hans-Dieter Daniela, d
aETH Zurich, Professorship for Social Psychology and Research on Higher
Education, Zähringerstr. 24, CH-8092 Zurich, Switzerland
bMax Planck Institute for Solid State Research, Heisenbergstraße 1, D-70569
Stuttgart, Germany
cUniversity of Leipzig, Department of Computer Science, PF 100920, D-04009
Leipzig, Germany
dUniversity of Zurich, Evaluation Office, Mühlegasse 21, CH-8001 Zurich,
Switzerland
Abstract
Examining a comprehensive set of papers (n = 1837) that were accepted for
publication by the journal Angewandte Chemie International Edition (one of
the prime chemistry journals in the world) or rejected by the journal but
then published elsewhere, this study tested the extent to which the use of
the freely available database Google Scholar (GS) can be expected to yield
valid citation counts in the field of chemistry. Analyses of citations for
the set of papers returned by three fee-based databases – Science Citation
Index, Scopus, and Chemical Abstracts – were compared to the analysis of
citations found using GS data. Whereas the analyses using citations
returned by the three fee-based databases show very similar results, the
results of the analysis using GS citation data differed greatly from the
findings using citations from the fee-based databases. Our study therefore
supports, on the one hand, the convergent validity of citation analyses
based on data from the fee-based databases and, on the other hand, the lack
of convergent validity of the citation analysis based on the GS data.
Address for correspondence:
Lutz Bornmann
ETH Zurich, Professorship for Social Psychology and Research on Higher
Education, Zähringerstr. 24, CH-8092 Zurich, Switzerland
bornmann at gess.ethz.ch
Journal of Informetrics Volume 3, Issue 1, January 2009, Pages 27-35
http://dx.doi.org/10.1016/j.joi.2008.11.001
------------------------------------------------------
Stabilisation operationalised: Using time series analysis to understand the
dynamics of research collaboration
Eleftheria Vasileiadou
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, De
Boelelaan 1085, 1081 HV Amsterdam, The Netherlands
Abstract
The aim of the paper is to investigate the use of online data and time
series analysis, in order to study the dynamics of new types of research
collaboration in a systematic way. Two international research teams were
studied for more than 3 years, and quantitative data about their internet
use together with observation of their collaboration patterns were
gathered. Time series analysis (ARIMA modelling) was performed on their use
of internet, and specific types of models related to specific ways of
conducting research at a distance. The paper proposes the use of online
data and ARIMA models to identify the stabilisation of a complex system,
such as a research team, and investigate everyday research practices.
Address for correspondence:
Eleftheria Vasileiadou
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, De
Boelelaan 1085, 1081 HV Amsterdam, The Netherlands
eleftheria.vasileiadou at gmail.com
Journal of Informetrics Volume 3, Issue 1, January 2009, Pages 36-48
http://dx.doi.org/10.1016/j.joi.2008.11.002
---------------------------------------------------------------------
Document–document similarity approaches and science mapping: Experimental
comparison of five approaches
Per Ahlgrena, and Cristian Collianderb
aDepartment of e-Resources, University Library, Stockholm University, SE-
106 91 Stockholm, Sweden
bUniversity Library, Jönköping University, SE-551 11 Jönköping, Sweden
Abstract
This paper treats document–document similarity approaches in the context of
science mapping. Five approaches, involving nine methods, are compared
experimentally. We compare text-based approaches, the citation-based
bibliographic coupling approach, and approaches that combine text-based
approaches and bibliographic coupling. Forty-three articles, published in
the journal Information Retrieval, are used as test documents. We
investigate how well the approaches agree with a ground truth subject
classification of the test documents, when the complete linkage method is
used, and under two types of similarities, first-order and second-order.
The results show that it is possible to achieve a very good approximation
of the classification by means of automatic grouping of articles. One text-
only method and one combination method, under second-order similarities in
both cases, give rise to cluster solutions that to a large extent agree
with the classification.
Address for correspondence:
Per Ahlgren
Department of e-Resources, University Library, Stockholm University, SE-106
91 Stockholm, Sweden
per.ahlgren at sub.su.se
Journal of Informetrics Volume 3, Issue 1, January 2009, Pages 49-63
http://dx.doi.org/10.1016/j.joi.2008.11.003
-------------------------------------------------------
Real and rational variants of the h-index and the g-index
Raf Gunsa, and Ronald Rousseaub, c, d,
aUniversity of Antwerp, IBW, Venusstraat 35, City Campus, 2000 Antwerpen,
Belgium
bKHBO (Association K.U.Leuven), Industrial Sciences and Technology, Zeedijk
101, B-8400 Oostende, Belgium
cHasselt University, Universitaire Campus, B-3590 Diepenbeek, Belgium
dK.U.Leuven, Steunpunt O&O Indicatoren and Dept. MSI, Dekenstraat 2, B-3000
Leuven, Belgium
Abstract
The definitions of the rational and real-valued variants of the h-index and
g-index are reviewed. It is shown how they can be obtained both graphically
and by calculation. Formulae are derived expressing the exact relations
between the h-variants and between the g-variants. Subsequently these
relations are examined. In a citation context the real h-index is often,
but not always, smaller than the rational h-index. It is also shown that
the relation between the real and the rational g-index depends on the
number of citations of the article ranked g + 1. Maximum differences
between h, hr and hrat on the one hand and between g, gr and grat on the
other are determined.
Address for correspondence:
Raf Guns
University of Antwerp, IBW, Venusstraat 35, City Campus, 2000 Antwerpen,
Belgium
raf.guns at ua.ac.be
Journal of Informetrics Volume 3, Issue 1, January 2009, Pages 64-71
http://dx.doi.org/10.1016/j.joi.2008.11.004
----------------------------------------------
A machine learning approach for Arabic text classification using N-gram
frequency statistics
Laila Khreisat
Dept. of Computer Science, Math and Physics, Fairleigh Dickinson
University, 285 Madison Ave., Madison, NJ 07940, USA
Abstract
In this paper a machine learning approach for classifying Arabic text
documents is presented. To handle the high dimensionality of text
documents, embeddings are used to map each document (instance) into R (the
set of real numbers) representing the tri-gram frequency statistics
profiles for a document. Classification is achieved by computing a
dissimilarity measure, called the Manhattan distance, between the profile
of the instance to be classified and the profiles of all the instances in
the training set. The class (category) to which an instance (document)
belongs is the one with the least computed Manhattan measure. The Dice
similarity measure is used to compare the performance of method. Results
show that tri-gram text classification using the Dice measure outperforms
classification using the Manhattan measure.
Address for correspondence:
Laila Khreisat
Dept. of Computer Science, Math and Physics, Fairleigh Dickinson
University, 285 Madison Ave., Madison, NJ 07940, USA
Khreisat at fdu.edu
Journal of Informetrics Volume 3, Issue 1, January 2009, Pages 72-77
http://dx.doi.org/10.1016/j.joi.2008.11.005
------------------------------------
A GP-adaptive web ranking discovery framework based on combinative content
and context features
Amir Hosein Keyhanipour a, , Maryam Piroozmanda and Kambiz Badiea
aIT Research Faculty, Iran Telecommunication Research Center (ITRC),
Tehran, Iran
Abstract
The problem of ranking is a crucial task in the web information retrieval
systems. The dynamic nature of information resources as well as the
continuous changes in the information demands of the users has made it very
difficult to provide effective methods for data mining and document
ranking. Regarding these challenges, in this paper an adaptive ranking
algorithm is proposed named GPRank. This algorithm which is a function
discovery framework, utilizes the relatively simple features of web
documents to provide suitable rankings using a multi-layer/multi-population
genetic programming architecture. Experiments done, illustrate that GPRank
has better performance in comparison with well-known ranking techniques and
also against its full mode edition.
Address for correspondence:
Amir Hosein Keyhanipour
IT Research Faculty, Iran Telecommunication Research Center (ITRC), Tehran,
Iran
keyhanipour at yahoo.com
Journal of Informetrics Volume 3, Issue 1, January 2009, Pages 78-89
http://dx.doi.org/10.1016/j.joi.2008.11.006
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