Jacso P. Extended and illustrated commentary on The Future of Citation Analysis by Jeffrey M. Perkel which appeared in The Scientist 19(20): 24, October 24, 2005.
Eugene Garfield
garfield at CODEX.CIS.UPENN.EDU
Thu Jan 5 14:00:36 EST 2006
Peter Jacso : jacso at hawaii.edu
Jeffrey Perkel : jperkel at the-scientist.com
Peter Jacso was one of several people interviewed by Jeffrey Perkel for the
article
The Future of Citation Analysis by Jeffrey M. Perkel which appeared in
The Scientist 19(20): 24, October 24, 2005. Full text is provided below.
On publication of the article, Peter Jacso published an additional piece on
this subject. Dr. Jacso says Considering the limitations of the print
edition, it is understandable that only a small part of my argument could
be included. I provide here some background illustrations and comments to
my correctly quoted remark that Google Scholar (GS) does a really horrible
job matching cited and citing references.
This extended and illustrated commentary is available at :
http://www2.hawaii.edu/~jacso/extra/gs/
THE FUTURE OF CITATION ANALYSIS
Jeffrey M. Perkel (jperkel at the-scientist.com)
The Scientist 2005, 19(20):24, October 24, 2005
In the 50 years since Eugene Garfield first proposed it,[1] the Science
Citation Index has grown dramatically in size and influence. The database
has expanded from 1.4 million citations in 1964 to 550 million today. Its
list of source journals has grown from 613 to 15,721. And it has become a
key tool for tenure, funding, and award committees.
The move to a Web interface that can analyze a century's worth of
literature at the click of a mouse has made the Science Citation Index, now
part of Thomson Scientific's Web of Science (WOS), more useful than ever.
But the same Web that has given the WOS greater and greater power has also
spawned publication avenues that leave open the question of how citation
analysis will evolve in the near- and long-term.
Articles can be posted in multiple forms in multiple places: on the
ArXiv.org preprint server, on the author's personal home page, and on the
journal Web site, for instance. Those articles can be published almost
immediately, giving the larger scientific community time to digest,
incorporate, and ultimately cite them.
The WOS is more than a literature database; it measures how often journal
articles are cited by others. How do you analyze all these new types of
citations? "If you're trying to figure out the impact of that article,
you've got to figure out how many links go to each source and bring them
together," says Michael Koenig of the Palmer School of Library and
Information Science at Long Island University, Brookville, NY.
Last autumn's launch of Google Scholar (GS) presents one solution. The free
service searches and tracks citations to peer-reviewed literature (as the
Web of Science does) and also conference proceedings, dissertations, pre-
and postprint servers, and other nontraditional media. Last month, Yale
University librarians Kathleen Bauer and Nisa Bakkalbasi published an
analysis showing that GS yielded 4.5 more citations per paper on average in
one journal, the Journal of the American Society for Information Science
and Technology, for papers published in 2000, than did WOS.[2]
"We found that through Google Scholar, you do get a higher average number
of citing articles, than you do through the Web of Science and Scopus. We
were quantifying what you would have guessed," says Bauer.
But the scholarly value of nontraditional sources picked up by GS and not
by WOS is yet unproven. And some major publishers, including Elsevier and
the American Chemical Society, have declined to open their archives to GS,
limiting its completeness. Peter Jacso, a professor of computer and
information science at the University of Hawaii, Manoa, estimates GS has
about 10 million source records to WOS's 35 million.
Jacso recently completed an analysis of GS, WOS, and Scopus, which suggests
GS does "a really horrible job" matching cited and citing references, he
says. GS "often can't tell apart a page number from a publication year,
part of the title of a book from the name of a journal, and dumps at you
absurd data."
For their part Bauer and Bakkalbasi write in their study that "ad hoc
searches" in WOS, GS, and Scopus suggest their findings extend to other
journals and other fields. They therefore advise researchers to consult GS
in addition to WOS or Scopus, "especially for a relatively recent article,
author or subject area." But they, like Jacso, note that until GS reveals
precisely what it indexes and how often it updates, "it cannot be
considered a true scholarly resource in the sense that Web of Science and
Scopus are. An understanding of the material being covered is central to
the validity of any search of scholarly material."
UNPUBLISHED BUT CRITICAL
Scientists can influence their peers beyond the published word, of course.
Consider a scientist who develops a useful program, and posts it to a Web
site from which it can be downloaded. Such contributions, says Blaise
Cronin, the Rudy Professor of Information Science at Indiana University,
are "subterranean, subcutaneous," and they are generally ignored in
traditional citation analyses.
One place where they do sometimes appear, however, is in a paper's
acknowledgments. "By analyzing acknowledgements, you can demonstrate just
how much people rely on one another, even competitors, and especially in
the life sciences, where you are required to share reagents after
publication," says Cronin, who has spent 15 years mining acknowledgements
in scientific literature for their citation value. His recently completed
analysis of acknowledgements in four years of Cell issues found that "over
the course of three decades, the intensity of acknowledgment behavior rose
for each category, most notably in the cases of materials (from 17.6% to
65.1%) and conceptual contributions (30.1% to 84%)."
To date Cronin's analyses have been painstaking, manual processes. But he
won't have to work manually for long: This past December Pennsylvania State
University researchers C. Lee Giles and Isaac G. Councill reported a
systematic effort to extract and parse acknowledgement text from 335,000
computer science papers.[3] "Our work supports prior studies showing that
acknowledgment trends for individuals do not correlate well with citation
trends, perhaps indicating a need to reward highly acknowledged researchers
with the deserved recognition of significant intellectual debt," the
authors write.
Another metric that citation analysts are currently debating is the value
of Web linkages (a link from one person's home page to another). Simply
counting links isn't likely to be of much use, says Henry Small, chief
scientist at Thomson Scientific and president of the International Society
for Scientometrics and Informetrics. "Basically anything goes on the Web.
You can have crackpots and charlatans linking to your stuff, [and] you can
have Nobel Prize winners linking to your stuff."
Hypertext links reflect more informal, social contacts, says Small, while
citations represent more formal expressions of intellectual debt.
Nevertheless, he says ongoing efforts to map the Web, to visualize its
connectivity and see who influences whom, are among the most sophisticated
areas to evolve from traditional citation analysis. "People are attempting
to use all the links to map the system of underlying communications or of
ideas," he says.
Yale's Bauer suggests that with all the new options available, journals per
se may lose their dominance, in favor of the papers within them. The
playing field could be leveled: Authors may not choose particular journals
based on impact factors, but choose publishing methods based on
effectiveness.
For now, however, the traditional refereed paper, wherever it happens to be
published, remains the coin of the realm. Says Cronin: "As more of
scientific literature moves to the Web and becomes available, you're going
to have a richer picture of the life and vitality of a scientific paper
than you can have today. So citation analysis won't become passé, it will
become one of a battery of indicators with which to measure the impact and
influence of a publication."
References
1. Garfield E: "Citation indexes for science: A new dimension in
documentation through association of ideas,".
Science 1955, 122:108-11.
2.Bauer K, Bakkalbasi N: "An examination of citation counts in a new
scholarly communication environment,".
[http://www.dlib.org/dlib/september05/bauer/09bauer.html]D-Lib Magazine
2005.,
3.Giles CL, Councill IG: "Who gets acknowledged: Measuring scientific
contributions through automatic acknowledgment indexing,".
Proc Natl Acad Sci 2004, 101:17599-604. [Publisher Full Text][PubMed
Central Full Text]
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