Of possible interest to Sig Metrics readers

[Eugene Garfield]

TITLE:          Has the Time Come for Bibliometrics and the H-Index in
                Academic Radiology? (Editorial Material, English)
AUTHOR:         Mullins, ME
SOURCE:         ACADEMIC RADIOLOGY 17 (7). JUL 2010. p.815-816 ELSEVIER
                SCIENCE INC, NEW YORK

SEARCH TERM(S):  BIBLIOMETR*  item_title;
                 HIRSCH JE          P NATL ACAD SCI USA   102:16569
2005;
                 EDITORIAL  doctype

KEYWORDS+:       QUALITY

AUTHOR ADDRESS: ME Mullins, Emory Univ, Sch Med, Dept Radiol, 1364
Clifton
                Rd NE,Room D125A, Atlanta, GA 30322 USA

    
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TITLE:          The H-Index in Academic Radiology (Article, English)
AUTHOR:         Rad, AE; Brinjikji, W; Cloft, HJ; Kallmes, DF
SOURCE:         ACADEMIC RADIOLOGY 17 (7). JUL 2010. p.817-821 ELSEVIER
                SCIENCE INC, NEW YORK

SEARCH TERM(S):  HIRSCH JE          P NATL ACAD SCI USA   102:16569 2005

KEYWORDS:       H-index; radiology; impact factor

ABSTRACT:       Rationale and Objectives: The h index is a recently
developed tool to assess the impact of an author's publications. The
purpose of this study was to apply and evaluate the h indexes of US
academic radiologists.

Materials and Methods: Radiology programs that participated in the
residency match in 2009 were identified through the National Resident
Matching Program's Web site. One third of programs were randomly
selected. The academic ranks (instructor, assistant professor, associate
professor, professor, or chairperson) of faculty members were determined
on the basis of information from the programs Web sites during October
and November 2009. One third of radiologists at each randomly selected
institution were randomly selected for detailed analysis. For each
radiologist, an automatically computed h index was obtained through the
Scopus database. The h index was compared across ranks using analysis of
variance. A multivariate logistic regression analysis was also performed
to determine the best predictors (number of publications, number of
citations, h index, and number of citations per publication) of academic
rank.

Results: Sixty hundred eighty-three radiologists from 47 programs were
included in this study. The mean h indexes were 1.1 +/- 2.7 for
instructors, 2.3 +/- 4.1 for assistant professors, 6.2 +/- 7.2 for
associate professors, 12.5 +/- 10.8 for full professors, and 12.0 +/-
9.5
for chairpersons. There was a significant relationship between h index
and academic rank (P<.0001). Multivariate logistic regression analysis
demonstrated that h index (P<.0001) and number of publications (P<.0001)
were the best predictors of academic rank.

Conclusion: There exists a significant relationship between h index and
academic rank, with h index increasing with academic rank. These results
offer a benchmark for comparing a given academic radiologist to national
averages.

AUTHOR ADDRESS: W Brinjikji, Mayo Clin, Mayo Med Sch, 200 SW 1st St,OL
                1-115, Rochester, MN 55905 USA

    
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TITLE:          Enhanced display of scientific articles using extended
                metadata (Article, English)
AUTHOR:         Page, RDM
SOURCE:         JOURNAL OF WEB SEMANTICS 8 (2-3 SP ISS). JUL 2010.
                p.190-195 ELSEVIER SCIENCE BV, AMSTERDAM

SEARCH TERM(S):  GARFIELD E  rauth;
                 KESSLER MM         AM DOC                 14:10
1963;
                 GARFIELD E         NATURE                413:107   2001

KEYWORDS:       Data citation; Geotagging; Identifiers; Scientific
                publication; Biodiversity informatics; Elsevier Grand
                Challenge
KEYWORDS+:       MOLECULAR PHYLOGENY; EVOLUTION; INFORMATION; FRAMEWORK;
                TAXONOMY; LINEAGE; IMPACT; GENUS

ABSTRACT:       Although the Web has transformed science publishing,
scientific papers themselves are still essentially "black boxes", with
much of their content intended for human readers only. Typically,
computer-readable metadata associated with an article is limited to
bibliographic details. By expanding article metadata to include
taxonomic
names, identifiers for cited material (e. g., publications, sequences,
specimens, and other data), and geographical coordinates, publishers
could greatly increase the scientific value of their digital content. At
the same time this will provide novel ways for users to discover and
navigate through this content, beyond the relatively limited linkage
provided by bibliographic citation.

As a proof of concept, my entry in the Elsevier Grand Challenge
extracted
extended metadata from a set of articles from the journal Molecular
Phylogeny and Evolution and used it to populate an
entity-attribute-value
database. A simple web interface to this database enables an enhanced
display of the content of an article, including a map of localities
mentioned either explicitly or implicitly (through links to geotagged
data), taxonomic coverage, and both data and citation links. Metadata
extraction was limited to information listed in tables in the articles,
such as GenBank sequences and specimen codes. The body of the article
was
not used, a restriction that was deliberate to demonstrate that making
extended metadata available does not require a journal's publisher to
make the full-text freely available (although this is desirable for
other
reasons). (C) 2010 Elsevier B. V. All rights reserved.

AUTHOR ADDRESS: RDM Page, Univ Glasgow, Glasgow G12 8QQ, Lanark,
Scotland