Kostoff RN, Buchtel HA, Andrews J. Pfeil KM "The hidden structure of neuropsychology: Text mining of the journal Cortex: 1991-2001 " Cortex 41(2): 103-115 April 2005.

Eugene Garfield garfield at CODEX.CIS.UPENN.EDU
Thu Jul 20 16:58:28 EDT 2006


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E-mail Addresses: kostofr at onr.navy.mil


Title: The hidden structure of neuropsychology: Text mining of the journal
Cortex: 1991-2001

Author(s): Kostoff RN, Buchtel HA, Andrews J, Pfeil KM


Source: CORTEX 41 (2): 103-115 APR 2005

Document Type: Editorial Material
Language: English
Cited References: 44      Times Cited: 1

Abstract:
Background: The stated mission of Cortex is "the study of the inter-
relations of the nervous system and behavior, particularly as these are
reflected in the effects of brain lesions on cognitive functions." The
purpose of this paper is to explore the relationship between the stated
mission and the executed mission as reflected by the characteristics of
papers published in Cortex. In addition, we examine whether the results and
conclusions of an analysis of this kind are affected by the level of
description of the published papers.
Objectives:

A) Identify characteristics of contributors to Cortex;

B) Identify characteristics of those who cite Cortex;

C) Identify recurring themes;

D) Identify the relationships among the recurring themes;

E) Compare recurring themes and determine their relationships to the
mission of Cortex;

F) Identify the sensitivity of these results to the level of description of
the Cortex papers used as the source database.

G) Compare Cortex characteristics with those of Neuropsychologia, another
Europe-based international neuropsychology journal.

Methods: Text mining (extraction of useful information from text) was used
to generate the characteristics of the journal Cortex. Bibliometrics
provided the Cortex contributor infrastructure (author/ organization/
country/ citation distributions), and computational linguistics identified
the recurring technical themes and their inter-relationships. Citation
mining (the integration of citation bibliometrics and text mining) was used
to profile the research user community. Four levels of published article
description were compared for the analysis: Full Text, Abstract, Title,
Keywords.

Results and Conclusions: Highly cited documents were compared among Cortex,
Neuropsychologia, and Brain, and a number of interesting parametric trends
were observed. The characteristics of the papers that cite Cortex papers
were examined, and some interesting insights were generated. Finally, the
document clustering taxonomy showed that papers in y Cortex can be
reasonably divided into four categories (papers in each category in
parenthesis): Semantic Memory (151); Handedness (145): Amnesia (119); and
Neglect (66).

It is concluded that Cortex needs to take steps to attract a more diverse
group of contributors outside its continental Western European base if it
wishes to capture a greater share of seminal neuropsychology papers.
Further investigation of the critical citation differences reported in the
paper is recommended.


Addresses: Kostoff RN (reprint author), Off Naval Res, 800 N Quincy St,
Arlington, VA 22217 USA
Off Naval Res, Arlington, VA 22217 USA
VA Ann Arbor Healthcare Syst, Ann Arbor, MI USA
Univ Michigan, Dept Psychiat, Ann Arbor, MI 48109 USA
Univ Michigan, Dept Psychol, Ann Arbor, MI 48109 USA

Publisher: MASSON DIVISIONE PERIODICI, VIA FRATELLI BRESSAN 2, 20126 MILAN,
ITALY
Subject Category: BEHAVIORAL SCIENCES; NEUROSCIENCES
IDS Number: 896LH

ISSN: 0010-9452

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