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Effect of vocabulary mapping for conditions on phenotype cohorts

Overview of attention for article published in Journal of the American Medical Informatics Association, November 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)

Mentioned by

twitter
5 X users
facebook
1 Facebook page

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
48 Mendeley
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Title
Effect of vocabulary mapping for conditions on phenotype cohorts
Published in
Journal of the American Medical Informatics Association, November 2018
DOI 10.1093/jamia/ocy124
Pubmed ID
Authors

George Hripcsak, Matthew E Levine, Ning Shang, Patrick B Ryan

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 6 13%
Student > Ph. D. Student 5 10%
Student > Master 5 10%
Other 4 8%
Student > Bachelor 2 4%
Other 9 19%
Unknown 17 35%
Readers by discipline Count As %
Medicine and Dentistry 7 15%
Computer Science 6 13%
Business, Management and Accounting 2 4%
Mathematics 2 4%
Engineering 2 4%
Other 7 15%
Unknown 22 46%
Attention Score in Context

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 20 February 2019.
All research outputs
#7,520,243
of 23,109,468 outputs
Outputs from Journal of the American Medical Informatics Association
#1,872
of 3,084 outputs
Outputs of similar age
#136,302
of 351,751 outputs
Outputs of similar age from Journal of the American Medical Informatics Association
#30
of 39 outputs
Altmetric has tracked 23,109,468 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 3,084 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one is in the 38th percentile – i.e., 38% 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 351,751 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 60% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.