A case study of the joint use of bibliometric data from The Lens platform and ScienceDirect to identify relevant publication topics in a given subject area

The advantages of choosing The Lens as an abstract base for identifying relevant publication topics in a given subject area:

Open access to data, possibility of simultaneous export of up to 50 thousand bibliometric records, advanced analytics.

The data exported from The Lens database can be used in the most commonly utilized programs for bibliometric analysis — VOSviewer and Bibliometrix.

The Lens issues — to analyze publication topics (author's interests) in this system, the Keywords and Abstract fields are poorly populated.

Characteristics of The Len's base as of September 29, 2024:

Scholarly Works (280,455,781) = All Docs; 134M Analytics Set; 41.5M Authors; 1.3M Source Titles; 698K Fields of Study; 353 Journal Subjects; 5.9M Keywords; 254.2K Chemicals; 30.6K MeSH Headings; 41.4M Institutions; 2.6M Funding Organizations; 4.6K Conferences.

698K Fields of Study — is a very detailed classification of bibliometric data that can be used similarly to Index Keywords in Scopus and Keywords plus in WoS.

The approach proposed in this study is to populate the Keywords and Abstract fields in The Lens with data taken from the bibliometric data of the respective publishers, which are usually very well populated.

Taking into account the interests of the author of this paper, the data of Elsevier publisher available in the open ScienceDirect database corresponding to the query are chosen as an example: 'Title, abstract, keywords: digital energy; Article type: Review articles and Research articles; Years: 2020–2024; Subject areas: Engineering, Materials Science and Energy; Languages: English'. Data are current as of September 16, 2024.

Omitting the details of data export and preprocessing, the final file used in the VOSviewer and Bibliometrix programs contained 3373 bibliometric records.