Scholarly Twitter Metrics

In Wolfgang Glänzel, Henk F. Moed, Ulrich Schmoch & Mike Thelwall (eds.), Springer Handbook of Science and Technology Indicators. Springer Verlag. pp. 729-760 (2019)
  Copy   BIBTEX

Abstract

Twitter has unarguably been the most popular among the data sources that form the basis of so-called altmetrics. Tweets to scholarly documents have been heralded as both early indicators of citations and measures of societal impact. This chapter provides an overview of Twitter activity as the basis for scholarly metrics from a critical point of view and equally describes the potential and limitations of scholarly Twitter metrics. By reviewing the literature on Twitter in scholarly communication and analyzing 24 million tweets linking to scholarly documents, it aims to provide a basic understanding of what tweets can and cannot measure in the context of research evaluation. Going beyond the limited explanatory power of low correlations between tweets and citations, this chapter considers what types of scholarly documents are popular on Twitter, and how, when and by whom they are diffused in order to understand what tweets to scholarly documents measure. Although the chapter is not able to solve the problems associated with the creation of meaningful metrics from social media, it highlights particular issues and aims to provide the basis for advanced scholarly Twitter metrics.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 92,168

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Organic Products in Mexico and South Korea on Twitter.Xanat Vargas Meza & Han Woo Park - 2016 - Journal of Business Ethics 135 (3):587-603.
Speech Acts in Kris Aquino’s Tweets: A Content Analysis.Ma Juliet G. Vasay & Dennis C. Jaum - 2014 - Iamure International Journal of Literature, Philosophy and Religion 6 (1).
Social Media Metrics for New Research Evaluation.Paul Wouters, Zohreh Zahedi & Rodrigo Costas - 2019 - In Wolfgang Glänzel, Henk F. Moed, Ulrich Schmoch & Mike Thelwall (eds.), Springer Handbook of Science and Technology Indicators. Springer Verlag. pp. 687-713.

Analytics

Added to PP
2020-02-07

Downloads
4 (#1,627,077)

6 months
1 (#1,475,915)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references