Datasets of Twitter mentions and publications in Information Science &amp; Library Science and Microbiology

Datasets used in the study 'Identifying and characterizing social media communities: a socio-semantic network approach to altmetrics'. Microbiology publications (mic_publiccations.tsv). Dataset of 101,206 Microbiology publications with their author keywords. Microbiology mentions (mic_mentions.tsv). Dataset of 328,110 Twitter mentions to Microbiology publications. Information Science & Library Science publications (lis_publications.tsv). Dataset of 8452 Information Science & Library Science publications with their author keywords. Information Science & Library Science mentions (lis_mentions.tsv). Dataset of 35,411 Twitter mentions to Information Science & Library Science publications.

Related Organizations

Delft University of Technology
Netherlands
University of Granada
Spain

Keywords

FOS: Biological sciences, Twitter, altmetrics, Library and Information Science, Microbiology, Social Network Analysis

EOSC Subjects

Twitter Data

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average