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Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death

Overview of attention for article published in Journal of Biomedical Semantics, November 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
10 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
53 Mendeley
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Title
Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death
Published in
Journal of Biomedical Semantics, November 2019
DOI 10.1186/s13326-019-0214-4
Pubmed ID
Authors

Anoop D. Shah, Emily Bailey, Tim Williams, Spiros Denaxas, Richard Dobson, Harry Hemingway

Twitter Demographics

The data shown below were collected from the profiles of 10 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 15%
Researcher 5 9%
Student > Ph. D. Student 5 9%
Student > Bachelor 4 8%
Professor 3 6%
Other 11 21%
Unknown 17 32%
Readers by discipline Count As %
Computer Science 8 15%
Medicine and Dentistry 7 13%
Nursing and Health Professions 4 8%
Biochemistry, Genetics and Molecular Biology 3 6%
Engineering 3 6%
Other 8 15%
Unknown 20 38%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 22 November 2019.
All research outputs
#5,516,974
of 20,735,589 outputs
Outputs from Journal of Biomedical Semantics
#105
of 349 outputs
Outputs of similar age
#115,737
of 344,974 outputs
Outputs of similar age from Journal of Biomedical Semantics
#3
of 17 outputs
Altmetric has tracked 20,735,589 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 349 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 69% 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 344,974 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 66% 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 has done well, scoring higher than 82% of its contemporaries.