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Promises and pitfalls of electronic health record analysis

Overview of attention for article published in Diabetologia, December 2017
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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 (85th percentile)

Mentioned by

policy
1 policy source
twitter
17 X users

Citations

dimensions_citation
85 Dimensions

Readers on

mendeley
151 Mendeley
citeulike
1 CiteULike
Title
Promises and pitfalls of electronic health record analysis
Published in
Diabetologia, December 2017
DOI 10.1007/s00125-017-4518-6
Pubmed ID
Authors

Ruth Farmer, Rohini Mathur, Krishnan Bhaskaran, Sophie V. Eastwood, Nish Chaturvedi, Liam Smeeth

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 151 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 19%
Researcher 26 17%
Student > Bachelor 14 9%
Student > Master 12 8%
Student > Doctoral Student 11 7%
Other 18 12%
Unknown 41 27%
Readers by discipline Count As %
Medicine and Dentistry 30 20%
Nursing and Health Professions 20 13%
Computer Science 11 7%
Biochemistry, Genetics and Molecular Biology 6 4%
Psychology 6 4%
Other 27 18%
Unknown 51 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 20 November 2022.
All research outputs
#3,213,404
of 26,017,215 outputs
Outputs from Diabetologia
#1,579
of 5,646 outputs
Outputs of similar age
#66,366
of 450,901 outputs
Outputs of similar age from Diabetologia
#47
of 66 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,646 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.1. This one has gotten more attention than average, scoring higher than 72% 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 450,901 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 85% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.