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Article Metrics

Evaluating a digital sepsis alert in a London multisite hospital network: a natural experiment using electronic health record data

Overview of attention for article published in Journal of the American Medical Informatics Association, November 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 2,849)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
101 news outlets
twitter
32 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
51 Mendeley
Title
Evaluating a digital sepsis alert in a London multisite hospital network: a natural experiment using electronic health record data
Published in
Journal of the American Medical Informatics Association, November 2019
DOI 10.1093/jamia/ocz186
Pubmed ID
Authors

Kate Honeyford, Graham S Cooke, Anne Kinderlerer, Elizabeth Williamson, Mark Gilchrist, Alison Holmes, Ben Glampson, Abdulrahim Mulla, Ceire Costelloe

Twitter Demographics

The data shown below were collected from the profiles of 32 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 7 14%
Researcher 7 14%
Student > Ph. D. Student 3 6%
Professor 3 6%
Student > Postgraduate 3 6%
Other 9 18%
Unknown 19 37%
Readers by discipline Count As %
Medicine and Dentistry 13 25%
Computer Science 4 8%
Sports and Recreations 2 4%
Social Sciences 2 4%
Neuroscience 2 4%
Other 8 16%
Unknown 20 39%

Attention Score in Context

This research output has an Altmetric Attention Score of 829. 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 16 November 2021.
All research outputs
#13,702
of 19,476,606 outputs
Outputs from Journal of the American Medical Informatics Association
#2
of 2,849 outputs
Outputs of similar age
#481
of 419,969 outputs
Outputs of similar age from Journal of the American Medical Informatics Association
#1
of 81 outputs
Altmetric has tracked 19,476,606 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,849 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has done particularly well, scoring higher than 99% 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 419,969 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.