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Leveraging medical context to recommend semantically similar terms for chart reviews

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
5 tweeters

Readers on

mendeley
9 Mendeley
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Title
Leveraging medical context to recommend semantically similar terms for chart reviews
Published in
BMC Medical Informatics and Decision Making, December 2021
DOI 10.1186/s12911-021-01724-2
Pubmed ID
Authors

Cheng Ye, Bradley A. Malin, Daniel Fabbri

Twitter Demographics

The data shown below were collected from the profiles of 5 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 22%
Researcher 2 22%
Student > Master 1 11%
Unknown 4 44%
Readers by discipline Count As %
Medicine and Dentistry 2 22%
Neuroscience 1 11%
Nursing and Health Professions 1 11%
Unknown 5 56%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 21 December 2021.
All research outputs
#6,934,754
of 22,738,543 outputs
Outputs from BMC Medical Informatics and Decision Making
#678
of 1,985 outputs
Outputs of similar age
#154,612
of 493,939 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#15
of 61 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,985 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 64% 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 493,939 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 68% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.