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Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health

Overview of attention for article published in Frontiers in Digital Health, March 2021
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Mentioned by

twitter
4 X users

Readers on

mendeley
41 Mendeley
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Title
Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health
Published in
Frontiers in Digital Health, March 2021
DOI 10.3389/fdgth.2021.620828
Pubmed ID
Authors

Denis Newman-Griffis, Eric Fosler-Lussier

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 5 12%
Professor 4 10%
Researcher 3 7%
Professor > Associate Professor 3 7%
Student > Master 3 7%
Other 6 15%
Unknown 17 41%
Readers by discipline Count As %
Computer Science 8 20%
Neuroscience 3 7%
Nursing and Health Professions 2 5%
Chemistry 2 5%
Medicine and Dentistry 2 5%
Other 6 15%
Unknown 18 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 June 2021.
All research outputs
#15,179,141
of 25,387,668 outputs
Outputs from Frontiers in Digital Health
#425
of 824 outputs
Outputs of similar age
#228,045
of 452,055 outputs
Outputs of similar age from Frontiers in Digital Health
#28
of 47 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 824 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 452,055 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.