University of Oulu

Kortelainen, T, Katvala, M & Länsman, A (2017). Attention and altmetrics. Information Research, 22(1), CoLIS paper 1626. Retrieved from http://InformationR.net/ir/22-1/colis/colis1626.html (Archived by WebCite® at http://www.webcitation.org/6oUIyTXm0)

Attention and altmetrics

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Author: Kortelainen, Terttu1; Katvala, Mari2; Länsman, Anni-Siiri3
Organizations: 1Information Studies, University of Oulu
2Oulu University Library
3Giellagas Institute, University of Oulu
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.1 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe201707067650
Language: English
Published: University of Borås, 2017
Publish Date: 2017-07-06
Description:

Abstract

Introduction: The concept of attention is applied in two altmetric studies concerning: (1) the use of social media tools on the web pages of scientific journals, and indications of attention in these pages received, and (2) attention received by the radio news on the web page of an indigenous radio station. The purpose is to reveal characteristics of web publications connected to the attention they receive.

Method: Altmetric data describing attention data was compiled from the Facebook sites of scientific journals and the Facebook pages of an indigenous radio station news programme, as well as the news programme’s web site. The study was both quantitative and qualitative.

Analysis: Attention was operationalized in the form of comments, likes or sharing of Facebook postings and these were analyzed quantitatively. The contents of the postings were analysed by qualitative content analysis.

Results: The characteristics of the postings receiving most attention were relevance, community (in the sense of ownership), belonging and co-creation, and engagement in the meaning of interactivity.

Conclusions: In altmetric research, data originating from several sources can reflect the societal impact a project or a publication may have, not only the impact it has in science. Attention economy theory supports the interpretation of altmetric data.

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Series: Information research
ISSN: 1368-1613
ISSN-E: 1368-1613
ISSN-L: 1368-1613
Volume: 22
Issue: 1
Type of Publication: A1 Journal article – refereed
Field of Science: 518 Media and communications
Subjects:
Copyright information: © 2017. The authors. Attribution-NonCommercial-NoDerivs 2.0 UK: England & Wales (CC BY-NC-ND 2.0 UK).
  https://creativecommons.org/licenses/by-nc-nd/2.0/uk/