Research involving women and health in the Medline database, 1965–2005: co-term analysis and visualization of main lines of research
M. Angeles Zulueta,
Gisela Cantos-Mateos,
Benjamín Vargas-Quesada () and
Carmen Sánchez
Additional contact information
M. Angeles Zulueta: University of Alcalá
Gisela Cantos-Mateos: University of Alcalá
Benjamín Vargas-Quesada: University of Granada
Carmen Sánchez: University of Alcalá
Scientometrics, 2011, vol. 88, issue 3, No 1, 679-706
Abstract:
Abstract This paper shows the main lines of research concerning health and women, as registered in the Medline database, broken down into four 10-year periods: 1965–1974, 1975–1984, 1985–1994, and 1995–2005. The units of analysis used were the Medline “MeSH” major terms, processed by means of co-term analysis. For graphic representation, the social network approach was used, with pruning performed by Pathfinder Networks (PFNET), so as to concentrate the displays. Factor analysis was used to group the descriptors and identify the main lines of research involving health and women. The results show that research on Health and Women has increased and undergone significant changes over the past 40 years, yet such studies are not given due importance.
Keywords: Medline; Co-term; Health; Women; Research; Social networks; PFNET; Maps (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11192-011-0455-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:88:y:2011:i:3:d:10.1007_s11192-011-0455-1
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-011-0455-1
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().