Blogging, tweeting, sharing your work to reach policy makers
1. Blogging, tweeting, sharing your work
to reach policy makers
UCL Early Careers Network 22 April 2015
Dr Trish Groves
Head of research, The BMJ
& Editor-in-chief, BMJ Open
2.
3.
4. Applications that build on ideological & technological foundations of
Web 2.0 & allow creation & exchange of user-generated content
(Alqvist T et al, 2008)
Interactions in which people create, share, & exchange information &
ideas in virtual communities & networks (Kaplan AM, Haenlein M,
2010)
Information tools that both exploit & celebrate our social nature
(Coiera E, BMJ 2013)
So what are social media?
10. • setting up your Twitter account
• useful Twitter terminology
• tweeting styles
• building up your followers
• resources
• using Twitter:
• for research projects
• in departments
• alongside blogging
• in teaching
Tips for academics
http://blogs.lse.ac.uk/impactofsocialsciences/files/2011/11/Published-
Twitter_Guide_Sept_2011.pdf
14. • tweet links to articles, blogs, web pages
• use # to link tweets and make them searchable
• use Twitter buttons on web pages and browser headers
• save some of 140 characters for comments when retweeted
• live tweet conferences and other open meetings:
• conference #
• tweet speaker biographies/web pages/blogs/papers
• use tweetreach to see how far tweets about a # have spread
• use Storify to curate tweets
Tweetastic tips
20. Eysenbach G. Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and
Correlation with Traditional Metrics of Scientific Impact. J Med Internet Res 2011;13(4):e123
DOI: 10.2196/jmir.2012
Top-cited articles can be predicted from top-tweeted articles with
93% specificity and 75% sensitivity.
Tweets can predict highly cited articles within the first 3 days of
article publication.
Social media activity either increases citations or reflects the
underlying qualities of the article that also predict citations, but the
true use of these metrics is to measure the distinct concept of social
impact. Social impact measures based on tweets are proposed to
complement traditional citation metrics.
21. Haufstein S et al. Tweeting biomedicine: An analysis of tweets and citations in the biomedical
literature. Journal of the Association for Information Science and Technology
Volume 65, Issue 4, pages 656–669, April 2014 DOI: 10.1002/asi.23101
Analysis based on 1.4 million documents covered by both PubMed
and Web of Science between 2010 and 2012.
The number of tweets containing links to these documents compared
to citations to evaluate degree to which certain journals, disciplines,
and specialties were represented on Twitter and how far tweets
correlate with citation impact.
With less than 10% of PubMed articles mentioned on Twitter, its
uptake is low in general but differs between journals and specialties.
Correlations between tweets and citations are low, implying that
impact metrics based on tweets are different from those based on
citations.
22. Grande D et al. Translating Research For Health Policy: Researchers’ Perceptions
And Use Of Social Media. Health Affairs July 2014 doi:10.1377/hlthaff.2014.0300
Survey of 325 health policy researchers registered for 2013
Academy Health Annual Research Meeting.
About using social media v traditional media + direct outreach to
disseminate research findings to policy makers.
Researchers rated social media lowest in three domains:
researchers’ confidence in their ability to use the method, peers’
respect for its use, and how it is perceived in academic promotion.
Just 14% reported tweeting, and 21% reported blogging about
their research or related health policy in the past year.
Researchers described social media as being incompatible with
research, of high risk professionally, of uncertain efficacy, and an
unfamiliar technology that they did not know how to use.
24. General Medical Council social media policy covers:
• blogs and microblogs (Twitter)
• internet forums (doctors.net, Doc2Doc)
• content communities (Youtube, Flickr)
• social networking sites (Facebook, LinkedIn)
GMC: Good Medical Practice 2013
Professor of Digital Humanities in theDepartment of Information Studies, University College London, and Director of UCL Centre for Digital Humanities.
Methods: Between July 2008 and November 2011, all tweets containing links to articles in the Journal of Medical Internet Research (JMIR) were mined. For a subset of 1573 tweets about 55 articles published between issues 3/2009 and 2/2010, different metrics of social media impact were calculated and compared against subsequent citation data from Scopus and Google Scholar 17 to 29 months later. A heuristic to predict the top-cited articles in each issue through tweet metrics was validated.
Highly tweeted articles were 11 times more likely to be highly cited than less-tweeted articles (9/12 or 75% of highly tweeted article were highly cited, while only 3/43 or 7% of less-tweeted articles were highly cited; rate ratio 0.75/0.07 = 10.75, 95% confidence interval, 3.4–33.6). Top-cited articles can be predicted from top-tweeted articles with 93% specificity and 75% sensitivity.