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Trial Promoter: A Web-Based Tool for Boosting the Promotion of Clinical Research Through Social Media

Overview of attention for article published in Journal of Medical Internet Research, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
21 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Trial Promoter: A Web-Based Tool for Boosting the Promotion of Clinical Research Through Social Media
Published in
Journal of Medical Internet Research, January 2016
DOI 10.2196/jmir.4726
Pubmed ID
Authors

Katja Reuter, Reuter, Katja, Ukpolo, Francis, Ward, Edward, Wilson, Melissa L, Angyan, Praveen, Francis Ukpolo, Edward Ward, Melissa L Wilson, Praveen Angyan

Abstract

Scarce information about clinical research, in particular clinical trials, is among the top reasons why potential participants do not take part in clinical studies. Without volunteers, on the other hand, clinical research and the development of novel approaches to preventing, diagnosing, and treating disease are impossible. Promising digital options such as social media have the potential to work alongside traditional methods to boost the promotion of clinical research. However, investigators and research institutions are challenged to leverage these innovations while saving time and resources. To develop and test the efficiency of a Web-based tool that automates the generation and distribution of user-friendly social media messages about clinical trials. Trial Promoter is developed in Ruby on Rails, HTML, cascading style sheet (CSS), and JavaScript. In order to test the tool and the correctness of the generated messages, clinical trials (n=46) were randomized into social media messages and distributed via the microblogging social media platform Twitter and the social network Facebook. The percent correct was calculated to determine the probability with which Trial Promoter generates accurate messages. During a 10-week testing phase, Trial Promoter automatically generated and published 525 user-friendly social media messages on Twitter and Facebook. On average, Trial Promoter correctly used the message templates and substituted the message parameters (text, URLs, and disease hashtags) 97.7% of the time (1563/1600). Trial Promoter may serve as a promising tool to render clinical trial promotion more efficient while requiring limited resources. It supports the distribution of any research or other types of content. The Trial Promoter code and installation instructions are freely available online.

Twitter Demographics

The data shown below were collected from the profiles of 21 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 8%
Italy 1 8%
United States 1 8%
Unknown 10 77%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 15%
Student > Doctoral Student 2 15%
Student > Ph. D. Student 2 15%
Student > Master 2 15%
Student > Postgraduate 1 8%
Other 4 31%
Readers by discipline Count As %
Medicine and Dentistry 5 38%
Computer Science 3 23%
Nursing and Health Professions 1 8%
Unspecified 1 8%
Arts and Humanities 1 8%
Other 2 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 May 2018.
All research outputs
#1,240,002
of 12,122,714 outputs
Outputs from Journal of Medical Internet Research
#1,259
of 2,571 outputs
Outputs of similar age
#40,326
of 270,096 outputs
Outputs of similar age from Journal of Medical Internet Research
#54
of 121 outputs
Altmetric has tracked 12,122,714 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,571 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.2. This one has gotten more attention than average, scoring higher than 50% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 270,096 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 121 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.