Communities of attention networks: introducing qualitative and conversational perspectives for altmetrics

We propose to analyze the level of recommendation and spreading in the sharing of scientific papers on Twitter to understand the interactions of communities around papers and to develop the “community of attention network” (CAN). In this paper, a pilot case study was conducted for the paper ‘Pharmacological Treatment of Obesity’ authored by Mancini and Halpern (Arquivos Brasileiros de Endocrinologia & Metabologia 46(5):497–512, 2002. 10.1590/S0004-27302002000500003), an extensive review of the criteria for evaluating the efficacy of anti-obesity treatments and derived pharmacological agents. The altmetric data was collected from Altmetric.com and the description information for each tweeter was extracted from their Twitter profiles. The data were analyzed with Microanalysis of Online Data perspective to investigate the formation of a CAN around this focal paper and the context of its formation. The studied article received 736 tweets from 134 different users with a combined exposure of more than 459,018 followers and a high level of spreading (67.26%) and recommendation (28.53%). The user’s bios information analysis of who shares the article indicate individual profiles focused on personal issues and strong civic and political engagement. Personal-professional and institutional tweeters of the national political scene are often mentioned in the tweets. In analyzing the content of the tweets, we note that the altmetric score of the paper is a result of its strategic use as an online activism resource and a digital advocacy tool used to mobilize stakeholders for awareness and support activities. This study and the contextual and network perspective it introduces may help to understand the social impact of publications by using altmetrics.

[1]  Susan C. Herring,et al.  Beyond Microblogging: Conversation and Collaboration via Twitter , 2009 .

[2]  Vincent Larivière,et al.  Tweeting biomedicine: An analysis of tweets and citations in the biomedical literature , 2013, J. Assoc. Inf. Sci. Technol..

[3]  A. Gruzd,et al.  Measuring the impact of pharmacoepidemiologic research using altmetrics: A case study of a CNODES drug‐safety article , 2018, Pharmacoepidemiology and drug safety.

[4]  Shenmeng Xu,et al.  Who posts scientific tweets? An investigation into the productivity, locations, and identities of scientific tweeters , 2019, J. Informetrics.

[5]  Rodrigo Costas.  Towards the social media studies of science: social media metrics, present and future , 2018, ArXiv.

[6]  Trena M. Paulus,et al.  Microanalysis Of Online Data: The methodological development of “digital CA” , 2015 .

[7]  Danah Boyd,et al.  Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter , 2010, 2010 43rd Hawaii International Conference on System Sciences.

[8]  Andrew Upton,et al.  Contingent communication in a hybrid multi-media world: Analysing the campaigning strategies of SHAC , 2011, New Media Soc..

[9]  Rodrigo Costas,et al.  ‘communities of attention’ around scientific publications: Who is tweeting about scientific papers? , 2015 .

[10]  Adrián A. Díaz-Faes,et al.  Towards a second generation of ‘social media metrics’: Characterizing Twitter communities of attention around science , 2019, PloS one.

[11]  Panagiotis Takis Metaxas,et al.  What Do Retweets Indicate? Results from User Survey and Meta-Review of Research , 2015, ICWSM.

[12]  Rodrigo Costas.  Identifying Twitter audiences: who is tweeting about scientific papers? , 2015 .

[13]  R. Araújo,et al.  Comunicação científica e atenção online: em busca de colégios virtuais que sustentam métricas alternativas , 2016 .

[14]  Rodrigo Costas,et al.  The thematic orientation of publications mentioned on social media: Large-scale disciplinary comparison of social media metrics with citations , 2015, Aslib J. Inf. Manag..

[15]  M. Brüggemann,et al.  Scientific networks on Twitter: Analyzing scientists’ interactions in the climate change debate , 2019, Public understanding of science.

[16]  Isabella Peters,et al.  Astrophysicists’ Conversational Connections on Twitter , 2014, PloS one.

[17]  Amber Williams,et al.  Sleeping Beauties of Science. , 2015, Scientific American.

[18]  Rodrigo Costas,et al.  Social media metrics for new research evaluation , 2018, Springer Handbook of Science and Technology Indicators.

[19]  Susan C. Herring,et al.  Beyond Microblogging: Conversation and Collaboration via Twitter , 2009, 2009 42nd Hawaii International Conference on System Sciences.

[20]  Henk F. Moed,et al.  Handbook of Quantitative Science and Technology Research , 2005 .

[21]  Gregory D. Saxton,et al.  Tweeting Social Change , 2014 .

[22]  Jihie Kim,et al.  Role of Sentiment in Message Propagation: Reply vs. Retweet Behavior in Political Communication , 2012, 2012 International Conference on Social Informatics.

[23]  Rodrigo Costas,et al.  Integrating context in Twitter metrics: preliminary investigation on the possibilities of hashtags as an altmetric resource , 2016 .

[24]  Nélio Cacho,et al.  Characterizing geo-located tweets in brazilian megacities , 2017, 2017 International Smart Cities Conference (ISC2).

[25]  Raquel Recuero,et al.  Em busca das “redes que importam”: redes sociais e capital social no Twitter , 2009 .

[26]  Stefanie Haustein,et al.  Identifying diffusion patterns of research articles on Twitter: A case study of online engagement with open access articles , 2019, Public understanding of science.

[27]  Stefanie Haustein,et al.  Scholarly Twitter metrics , 2018, Springer Handbook of Science and Technology Indicators.

[28]  Ricardo Arencibia Jorge,et al.  A review of altmetrics as an emerging discipline for research evaluation , 2016, Learn. Publ..

[29]  David Gunnarsson Lorentzen,et al.  Twitter conversation patterns related to research papers , 2016, Inf. Res..

[30]  Pamela Briggs,et al.  Understanding Twitter influence in the health domain: a social-psychological contribution , 2014, WWW.

[31]  Jacob Ratkiewicz,et al.  Political Polarization on Twitter , 2011, ICWSM.

[32]  M. C. Mancini,et al.  Tratamento Farmacológico da Obesidade , 2002 .

[33]  Qing Ke,et al.  Defining and identifying Sleeping Beauties in science , 2015, Proceedings of the National Academy of Sciences.

[34]  Vincent Larivière,et al.  Scholarly use of social media and altmetrics: A review of the literature , 2016, J. Assoc. Inf. Sci. Technol..

[35]  Rodrigo Costas,et al.  Getting to Know Science Tweeters: A Pilot Analysis of South African Twitter Users Tweeting about Research Articles , 2019, Journal of Altmetrics.

[36]  Danah Boyd,et al.  I tweet honestly, I tweet passionately: Twitter users, context collapse, and the imagined audience , 2011, New Media Soc..