LEGOLAS

Introduction

LEGOLAS project is an attempt to provide an interface to explore various temporal profiles of authors in PubMed identified by the Author-ity dataset. These profiles are possible because of the high quality (98% recall) of the Author-ity dataset of disambiguated authors in PubMed. The project can help scholars identify trends in author metrics over time. While many metrics are standard like number of papers, number of citations, etc.; we also provide additional metrics like author expertise and self-citation rates based on our research. This project complements the GIMLI project which introduced the idea of temporal profiles for author novelty.

Projects using this interface

Author expertise

Author expertise on a paper. Author expertise over time.

Mishra, S., Fegley, B. D., Diesner, J., & Torvik, V. I. (2018). Expertise as an aspect of author contributions.

Gender effect in self-citation

Author metrics over time - includes self-citation.

Code and Data: https://github.com/napsternxg/PubMed_SelfCitationAnalysis

Mishra, S., Fegley, B. D., Diesner, J., & Torvik, V. I. (2018). Self-citation is the hallmark of productive authors, of any gender. PloS one, 13(9), e0195773.

Author geo movement

Probability of author geolocation over time.

Repication of R code from the paper in python can be found at: https://github.com/napsternxg/AuthorGeomovement

Tuomela MS, Fegley BD, Torvik VI. Introducing the Author-ity Exporter, and a case study of geo-temporal movement of authors. SIG/MET METRICS Workshop 2016. ASIS&T 2016 Annual Meeting, Oct. 14, 2016. Copenhagen, Denmark.

People