Abstract
This article presents a study of the literature of chemoinformatics, updating and building upon an analogous bibliometric investigation that was published in 2008. Data on outputs in the field, and citations to those outputs, were obtained by means of topic searches of the Web of Science Core Collection. The searches demonstrate that chemoinformatics is by now a well-defined sub-discipline of chemistry, and one that forms an essential part of the chemical educational curriculum. There are three core journals for the subject: The Journal of Chemical Information and Modeling, the Journal of Cheminformatics, and Molecular Informatics, and, having established itself, chemoinformatics is now starting to export knowledge to disciplines outside of chemistry.
Highlights
Increasing use is being made of bibliometric methods to analyze the published academic literature, with studies focusing on, e.g., author productivity, the articles appearing in a specific journal, the characteristics of bibliographic frequency distributions, new metrics for research evaluation, and the citations to publications in a specific subject area inter alia (e.g., [1,2,3,4,5,6])
Willett and co-workers have studied some of the journals most closely connected with these topics [8,9,10], but there have been only two bibliometric articles that have studied quantitative structure–activity relationships (QSARs)
In the first of these, Willett [11] found that the Journal of Chemical Information and Modeling was the core journal for chemoinformatics for the period 1998–2006, but with many significant papers published in journals whose principal focus was molecular modelling, QSAR, or more general aspects of chemistry
Summary
Increasing use is being made of bibliometric methods to analyze the published academic literature, with studies focusing on, e.g., author productivity, the articles appearing in a specific journal, the characteristics of bibliographic frequency distributions, new metrics for research evaluation, and the citations to publications in a specific subject area inter alia (e.g., [1,2,3,4,5,6]). Li et al [12] studied QSAR publications over the period 1993 to 2012 They found that the number of articles per year quadrupled from 1993 to 2006 but plateaued thereafter, with articles on molecular descriptors and modelling important for drug design and articles on model validation and reliability important for the environmental sciences. Their analysis mirrored the chemoinformatics study, in that there were contributions to the literature from a wide range of countries and the Journal of Chemical Information and Modeling was again the largest source of articles from amongst the journals that were analyzed in their study. An appendix contains a brief introduction to the literature for those new to the field of chemoinformatics
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