2016/07/21 by Loet Leydesdorff, Leydesdorff, Loet, Jordan A. Comins +7
Biochemistry, Genetics and Molecular Biology · Computer Science · Decision Sciences · #Bioinformatics and Genomic Networks #Biomedical Text Mining and Ontologies #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Semantic Web and Ontologies #scientometrics and bibliometrics research
paper · pdf · doi:10.48550/arxiv.1607.06263
openalex publication_date 2016/07/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
For the biomedical sciences, the Medical Subject Headings (MeSH) make\navailable a rich feature which cannot currently be merged properly with widely\nused citing/cited data. Here, we provide methods and routines that make MeSH\nterms amenable to broader usage in the study of science indicators: using\nWeb-of-Science (WoS) data, one can generate the matrix of citing versus cited\ndocuments; using PubMed/MEDLINE data, a matrix of the citing documents versus\nMeSH terms can be generated analogously. The two matrices can also be\nreorganized into a 2-mode matrix of MeSH terms versus cited references. Using\nthe abbreviated journal names in the references, one can, for example, address\nthe question whether MeSH terms can be used as an alternative to WoS Subject\nCategories for the purpose of normalizing citation data. We explore the\napplicability of the routines in the case of a research program about the\namyloid cascade hypothesis in Alzheimer's disease (AD). One conclusion is that\nreferenced journals provide archival structures, whereas MeSH terms indicate\nmainly variation (including novelty) at the research front. Furthermore, we\nexplore the option of using the citing/cited matrix for main-path analysis as a\nby-product of the software.\n