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Bleeding in cardiac patients prescribed antithrombotic drugs: electronic health record phenotyping algorithms, incidence, trends and prognosis

Overview of attention for article published in BMC Medicine, November 2019
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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 (77th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
13 X users

Citations

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12 Dimensions

Readers on

mendeley
58 Mendeley
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Title
Bleeding in cardiac patients prescribed antithrombotic drugs: electronic health record phenotyping algorithms, incidence, trends and prognosis
Published in
BMC Medicine, November 2019
DOI 10.1186/s12916-019-1438-y
Pubmed ID
Authors

Laura Pasea, Sheng-Chia Chung, Mar Pujades-Rodriguez, Anoop D. Shah, Samantha Alvarez-Madrazo, Victoria Allan, James T. Teo, Daniel Bean, Reecha Sofat, Richard Dobson, Amitava Banerjee, Riyaz S. Patel, Adam Timmis, Spiros Denaxas, Harry Hemingway

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 12%
Student > Master 6 10%
Student > Bachelor 6 10%
Researcher 4 7%
Student > Postgraduate 4 7%
Other 7 12%
Unknown 24 41%
Readers by discipline Count As %
Medicine and Dentistry 12 21%
Pharmacology, Toxicology and Pharmaceutical Science 4 7%
Nursing and Health Professions 3 5%
Biochemistry, Genetics and Molecular Biology 2 3%
Agricultural and Biological Sciences 2 3%
Other 8 14%
Unknown 27 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 01 December 2019.
All research outputs
#4,852,046
of 25,547,904 outputs
Outputs from BMC Medicine
#2,379
of 4,045 outputs
Outputs of similar age
#106,679
of 475,784 outputs
Outputs of similar age from BMC Medicine
#35
of 49 outputs
Altmetric has tracked 25,547,904 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,045 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.7. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 475,784 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 77% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.