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Social media for arthritis-related comparative effectiveness and safety research and the impact of direct-to-consumer advertising

Overview of attention for article published in Arthritis Research & Therapy, March 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
8 tweeters

Readers on

mendeley
28 Mendeley
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Title
Social media for arthritis-related comparative effectiveness and safety research and the impact of direct-to-consumer advertising
Published in
Arthritis Research & Therapy, March 2017
DOI 10.1186/s13075-017-1251-y
Pubmed ID
Authors

Jeffrey R. Curtis, Lang Chen, Phillip Higginbotham, W. Benjamin Nowell, Ronit Gal-Levy, James Willig, Monika Safford, Joseph Coe, Kaitlin O’Hara, Roee Sa’adon

Abstract

Social media may complement traditional data sources to answer comparative effectiveness/safety questions after medication licensure. The Treato platform was used to analyze all publicly available social media data including Facebook, blogs, and discussion boards for posts mentioning inflammatory arthritis (e.g. rheumatoid, psoriatic). Safety events were self-reported by patients and mapped to medical ontologies, resolving synonyms. Disease and symptom-related treatment indications were manually redacted. The units of analysis were unique terms in posts. Pre-specified conditions (e.g. herpes zoster (HZ)) were selected based upon safety signals from clinical trials and reported as pairwise odds ratios (ORs); drugs were compared with Fisher's exact test. Empirically identified events were analyzed using disproportionality analysis and reported as relative reporting ratios (RRRs). The accuracy of a natural language processing (NLP) classifier to identify cases of shingles associated with arthritis medications was assessed. As of October 2015, there were 785,656 arthritis-related posts. Posts were predominantly US posts (75%) from patient authors (87%) under 40 years of age (61%). For HZ posts (n = 1815), ORs were significantly increased with tofacitinib versus other rheumatoid arthritis therapies. ORs for mentions of perforated bowel (n = 13) were higher with tocilizumab versus other therapies. RRRs associated with tofacitinib were highest in conditions related to baldness and hair regrowth, infections and cancer. The NLP classifier had a positive predictive value of 91% to identify HZ. There was a threefold increase in posts following television direct-to-consumer advertisement (p = 0.04); posts expressing medication safety concerns were significantly more frequent than favorable posts. Social media is a challenging yet promising data source that may complement traditional approaches for comparative effectiveness research for new medications.

Twitter Demographics

The data shown below were collected from the profiles of 8 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 29%
Unspecified 4 14%
Other 4 14%
Student > Ph. D. Student 2 7%
Student > Postgraduate 2 7%
Other 8 29%
Readers by discipline Count As %
Medicine and Dentistry 10 36%
Unspecified 7 25%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Nursing and Health Professions 2 7%
Engineering 2 7%
Other 5 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 03 January 2018.
All research outputs
#2,401,116
of 11,622,318 outputs
Outputs from Arthritis Research & Therapy
#517
of 1,602 outputs
Outputs of similar age
#67,312
of 257,862 outputs
Outputs of similar age from Arthritis Research & Therapy
#3
of 12 outputs
Altmetric has tracked 11,622,318 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,602 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 74% 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 257,862 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 12 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 66% of its contemporaries.