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Major areas of interest of artificial intelligence research applied to health care administrative data: a scoping review

Overview of attention for article published in Frontiers in Pharmacology, July 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
18 Mendeley
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Title
Major areas of interest of artificial intelligence research applied to health care administrative data: a scoping review
Published in
Frontiers in Pharmacology, July 2022
DOI 10.3389/fphar.2022.944516
Pubmed ID
Authors

Olga Bukhtiyarova, Amna Abderrazak, Yohann Chiu, Stephanie Sparano, Marc Simard, Caroline Sirois

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 11%
Student > Master 2 11%
Librarian 1 6%
Other 1 6%
Student > Doctoral Student 1 6%
Other 2 11%
Unknown 9 50%
Readers by discipline Count As %
Medicine and Dentistry 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Environmental Science 1 6%
Nursing and Health Professions 1 6%
Linguistics 1 6%
Other 2 11%
Unknown 10 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 August 2022.
All research outputs
#12,871,062
of 23,025,074 outputs
Outputs from Frontiers in Pharmacology
#3,508
of 16,334 outputs
Outputs of similar age
#155,270
of 433,903 outputs
Outputs of similar age from Frontiers in Pharmacology
#148
of 1,298 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,334 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 77% 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 433,903 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 63% of its contemporaries.
We're also able to compare this research output to 1,298 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.