Title
Cited References and Medical Subject Headings (MeSH) as Two Different Knowledge Representations: Clustering and Mappings at the Paper Level.
Abstract
For the biomedical sciences, the Medical Subject Headings (MeSH) make available a rich feature which cannot currently be merged properly with widely used citing/cited data. Here, we provide methods and routines that make MeSH terms amenable to broader usage in the study of science indicators: using Web-of-Science (WoS) data, one can generate the matrix of citing versus cited documents; using PubMed/MEDLINE data, a matrix of the citing documents versus MeSH terms can be generated analogously. The two matrices can also be reorganized into a 2-mode matrix of MeSH terms versus cited references. Using the abbreviated journal names in the references, one can, for example, address the question whether MeSH terms can be used as an alternative to WoS Subject Categories for the purpose of normalizing citation data. We explore the applicability of the routines in the case of a research program about the amyloid cascade hypothesis in Alzheimer's disease. One conclusion is that referenced journals provide archival structures, whereas MeSH terms indicate mainly variation (including novelty) at the research front. Furthermore, we explore the option of using the citing/cited matrix for main-path analysis as a by-product of the software.
Year
DOI
Venue
2016
10.1007/s11192-016-2119-7
Scientometrics
Keywords
DocType
Volume
Alzheimer,Citation,Journal,Main path,MeSH
Journal
abs/1607.06263
Issue
ISSN
Citations 
3
1588-2861
2
PageRank 
References 
Authors
0.45
17
5
Name
Order
Citations
PageRank
Loet Leydesdorff14987381.86
Jordan A. Comins2556.51
Aaron Sorensen320.45
lutz bornmann43124279.75
Iina Hellsten59712.10