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Evaluating the Effectiveness of Personalized Medicine With Software

Overview of attention for article published in arXiv, May 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
10 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Evaluating the Effectiveness of Personalized Medicine With Software
Published in
arXiv, May 2021
DOI 10.3389/fdata.2021.572532
Pubmed ID
Authors

Adam Kapelner, Justin Bleich, Alina Levine, Zachary D. Cohen, Robert J. DeRubeis, Richard Berk

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Bachelor 4 13%
Student > Ph. D. Student 4 13%
Student > Master 3 9%
Student > Doctoral Student 1 3%
Other 2 6%
Unknown 12 38%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 3 9%
Neuroscience 3 9%
Psychology 3 9%
Business, Management and Accounting 2 6%
Medicine and Dentistry 2 6%
Other 5 16%
Unknown 14 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 27 January 2023.
All research outputs
#6,414,093
of 25,385,509 outputs
Outputs from arXiv
#102,328
of 915,125 outputs
Outputs of similar age
#131,965
of 456,498 outputs
Outputs of similar age from arXiv
#3,319
of 27,064 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 915,125 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 88% 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 456,498 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 71% of its contemporaries.
We're also able to compare this research output to 27,064 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.