TY - JOUR
T1 - Immunology and social networks
T2 - an approach towards impact assessment
AU - Ordoñez-Gutiérrez, José Andrés
AU - Oviedo-Moreno, Juan Manuel
AU - Patino-Hernandez, Daniela
AU - Fernández-Ávila, Daniel Gerardo
N1 - Publisher Copyright:
© 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2020/2/1
Y1 - 2020/2/1
N2 - Scientific journals have changed the mechanisms they use for distribution and dissemination of information. Different approaches towards determining impact have emerged and among these, metrics derived from activity on social media are an emerging trend. This article aims to assess whether a correlation exists between the traditional impact factor and activity on social media. We assessed journals categorized within the area of “immunology” on the SCImago Journal and Country Rank website. Variables reflecting traditional and alternative measures of impact were collected. Differences between journals with and without social networks were assessed using non-parametric Mann–Whitney U tests. Correlation was assessed through Spearman tests. 156 journals were analyzed, 17% had at least one social network. 48.2% of journals with social networks were classified within SJR’s quartile 1. An almost perfect correlation was found between the SJR and the number of followers on Twitter, this correlation remained statistically significant after adjusting for time since creation of the account [Spearman’s correlation (rs) = 0.83]. We propose the use of Twitter as a mechanism for dissemination of information by immunology journals, as well as other social networks for their potential to increase their audience, as well as the dissemination and impact of their publications.
AB - Scientific journals have changed the mechanisms they use for distribution and dissemination of information. Different approaches towards determining impact have emerged and among these, metrics derived from activity on social media are an emerging trend. This article aims to assess whether a correlation exists between the traditional impact factor and activity on social media. We assessed journals categorized within the area of “immunology” on the SCImago Journal and Country Rank website. Variables reflecting traditional and alternative measures of impact were collected. Differences between journals with and without social networks were assessed using non-parametric Mann–Whitney U tests. Correlation was assessed through Spearman tests. 156 journals were analyzed, 17% had at least one social network. 48.2% of journals with social networks were classified within SJR’s quartile 1. An almost perfect correlation was found between the SJR and the number of followers on Twitter, this correlation remained statistically significant after adjusting for time since creation of the account [Spearman’s correlation (rs) = 0.83]. We propose the use of Twitter as a mechanism for dissemination of information by immunology journals, as well as other social networks for their potential to increase their audience, as well as the dissemination and impact of their publications.
KW - Immunology
KW - Impact factor
KW - Mass media
KW - Social media
KW - Social networks
UR - http://www.scopus.com/inward/record.url?scp=85074593619&partnerID=8YFLogxK
U2 - 10.1007/s00296-019-04459-6
DO - 10.1007/s00296-019-04459-6
M3 - Article
C2 - 31606774
AN - SCOPUS:85074593619
SN - 0172-8172
VL - 40
SP - 251
EP - 256
JO - Rheumatology International
JF - Rheumatology International
IS - 2
ER -