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The Use of Primary Care Big Data in Understanding the Pharmacoepidemiology of COVID-19: A Consensus Statement From the COVID-19 Primary Care Database Consortium

Overview of attention for article published in Annals of Family Medicine, March 2021
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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 (87th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
15 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
34 Mendeley
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Title
The Use of Primary Care Big Data in Understanding the Pharmacoepidemiology of COVID-19: A Consensus Statement From the COVID-19 Primary Care Database Consortium
Published in
Annals of Family Medicine, March 2021
DOI 10.1370/afm.2658
Pubmed ID
Authors

Hajira Dambha-Miller, Simon J. Griffin, Duncan Young, Peter Watkinson, Pui San Tan, Ashley K. Clift, Rupert A. Payne, Carol Coupland, Jemma C. Hopewell, Jonathan Mant, Richard M. Martin, Julia Hippisley-Cox

Twitter Demographics

The data shown below were collected from the profiles of 15 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 12%
Librarian 2 6%
Professor 2 6%
Researcher 2 6%
Student > Ph. D. Student 2 6%
Other 6 18%
Unknown 16 47%
Readers by discipline Count As %
Medicine and Dentistry 9 26%
Nursing and Health Professions 3 9%
Social Sciences 2 6%
Agricultural and Biological Sciences 1 3%
Business, Management and Accounting 1 3%
Other 1 3%
Unknown 17 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 24 March 2021.
All research outputs
#1,692,048
of 22,360,612 outputs
Outputs from Annals of Family Medicine
#738
of 1,627 outputs
Outputs of similar age
#40,935
of 321,485 outputs
Outputs of similar age from Annals of Family Medicine
#12
of 17 outputs
Altmetric has tracked 22,360,612 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,627 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has gotten more attention than average, scoring higher than 54% 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 321,485 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 87% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.