Data Repository for "On the scientometric value of full-text, beyond abstracts & titles – Evidence from the business and economic literature"

This is the online repository for the publication "On the scientometric value of full-text, beyond abstracts & titles – Evidence from the business and economic literature".

What you will find in this repository

• "1_List_Articles" contains a list of all 66,392 publications from 27 journals that were considered in the study.
• "2_TextualAnalysisData" contains rhetoric and linguistic (readability) features from titles, abstracts and fulltexts, as a result of the textual analysis.
• "3_Software" contains a set of useful software tools, dictionaries, and codes, developed to conduct textual analysis and topic modelling.
• "4_LDA_Models" contains a set of topic models that were generate with tomotopy v0.5.1

Further information

Further information and data is available upon request by the author.

How to cite?

Please cite our paper if you find this work and data useful.

Kevin Riehl. On the scientometric value of full-text, beyond abstracts & titles – Evidence from the business and economic literature, 2024, Management Review Quarterly; DOI 10.1007/s11301-024-00439-8.