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Impact of Diverse Data Sources on Computational Phenotyping

Overview of attention for article published in Frontiers in Genetics, June 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
24 Mendeley
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Title
Impact of Diverse Data Sources on Computational Phenotyping
Published in
Frontiers in Genetics, June 2020
DOI 10.3389/fgene.2020.00556
Pubmed ID
Authors

Liwei Wang, Janet E. Olson, Suzette J. Bielinski, Jennifer L. St. Sauver, Sunyang Fu, Huan He, Mine S. Cicek, Matthew A. Hathcock, James R. Cerhan, Hongfang Liu

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Professor 3 13%
Student > Master 3 13%
Student > Doctoral Student 2 8%
Student > Ph. D. Student 2 8%
Student > Bachelor 2 8%
Other 3 13%
Unknown 9 38%
Readers by discipline Count As %
Medicine and Dentistry 6 25%
Nursing and Health Professions 2 8%
Computer Science 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Unspecified 1 4%
Other 0 0%
Unknown 12 50%
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 15 June 2020.
All research outputs
#16,113,262
of 24,717,821 outputs
Outputs from Frontiers in Genetics
#4,841
of 13,315 outputs
Outputs of similar age
#239,502
of 402,785 outputs
Outputs of similar age from Frontiers in Genetics
#151
of 391 outputs
Altmetric has tracked 24,717,821 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,315 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 63% 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 402,785 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 391 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.