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Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review

Overview of attention for article published in JMIR Medical Informatics, April 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#33 of 1,264)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
twitter
29 X users
patent
3 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
325 Dimensions

Readers on

mendeley
516 Mendeley
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Title
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review
Published in
JMIR Medical Informatics, April 2019
DOI 10.2196/12239
Pubmed ID
Authors

Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T Dudley, Alberto Lavelli, Fabio Rinaldi, Venet Osmani

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 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 516 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 516 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 87 17%
Student > Ph. D. Student 64 12%
Student > Master 56 11%
Student > Doctoral Student 36 7%
Student > Bachelor 36 7%
Other 81 16%
Unknown 156 30%
Readers by discipline Count As %
Computer Science 110 21%
Medicine and Dentistry 73 14%
Engineering 30 6%
Biochemistry, Genetics and Molecular Biology 16 3%
Social Sciences 15 3%
Other 90 17%
Unknown 182 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 25 April 2024.
All research outputs
#1,173,528
of 25,836,587 outputs
Outputs from JMIR Medical Informatics
#33
of 1,264 outputs
Outputs of similar age
#26,106
of 364,410 outputs
Outputs of similar age from JMIR Medical Informatics
#4
of 31 outputs
Altmetric has tracked 25,836,587 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,264 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 97% 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 364,410 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 92% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.