  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 & Halpern (2002), 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.
