Medical subject headings for the scientific groups evolution analysis on the example of academician A.I. Archakov's scientific school

   
Ilgisonis E.V.1 , Kiseleva O.I.1, Lisitsa A.V.1, Poverennaya E.V.1, Toporkova M.N.1, Ponomarenko E.A.1

1. Institute of Biomedical Chemistry, Moscow, Russia
Section:
DOI: 10.18097/PBMC20206601007      PubMed Id: 32116222
Year: 2020  Volume: 66  Issue: 1  Pages: 7-17
This paper proposes a method of comparative analysis of scientific trajectories based on bibliographic profiles. The bibliographic profile (“meshprint”) is a list of MeSH terms (key terms used to index articles in the PubMed), indicating the relative frequency of occurrence of each term in the scientist's articles. Comparison of personalized bibliographic profiles can be represented in the form of a semantic network, where the nodes are the names of scientists, and the relationships are proportional to the calculated measures of similarity of bibliographic profiles. The proposed method was used to analyze the semantic network of scientists united by the academic school of the academician A.I. Archakov. The results of the work allowed us to show the relationship between the scientific trajectories of one scientific school and to correlate the results with world trends.
Download PDF:
Keywords: semantic networks, text analysis, medical subject headings, Text-mining, MeSH, sociology, research trajectory
Supplementary materials:
Citation:

Ilgisonis, E. V., Kiseleva, O. I., Lisitsa, A. V., Poverennaya, E. V., Toporkova, M. N., Ponomarenko, E. A. (2020). Medical subject headings for the scientific groups evolution analysis on the example of academician A.I. Archakov's scientific school. Biomeditsinskaya khimiya, 66(1), 7-17.
References  
 2020 (vol 66)
 2019 (vol 65)
 2018 (vol 64)
 2017 (vol 63)
 2016 (vol 62)
 2015 (vol 61)
 2014 (vol 60)
 2013 (vol 59)
 2012 (vol 58)
 2011 (vol 57)
 2010 (vol 56)
 2009 (vol 55)
 2008 (vol 54)
 2007 (vol 53)
 2006 (vol 52)
 2005 (vol 51)
 2004 (vol 50)
 2003 (vol 49)