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A Decision-Theoretic Approach to Panel-Based, Preemptive Genotyping

Overview of attention for article published in MDM Policy & Practice, August 2019
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Mentioned by

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1 X user
facebook
1 Facebook page

Citations

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11 Dimensions

Readers on

mendeley
23 Mendeley
Title
A Decision-Theoretic Approach to Panel-Based, Preemptive Genotyping
Published in
MDM Policy & Practice, August 2019
DOI 10.1177/2381468319864337
Pubmed ID
Authors

Yaping Shi, John A Graves, Shawn P Garbett, Zilu Zhou, Ramya Marathi, Xiaoming Wang, Frank E Harrell, Thomas A Lasko, Joshua C Denny, Dan M Roden, Josh F Peterson, Jonathan S Schildcrout

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 22%
Researcher 4 17%
Student > Ph. D. Student 2 9%
Other 1 4%
Lecturer 1 4%
Other 1 4%
Unknown 9 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 22%
Medicine and Dentistry 2 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Mathematics 1 4%
Arts and Humanities 1 4%
Other 4 17%
Unknown 9 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 February 2023.
All research outputs
#19,954,338
of 25,385,509 outputs
Outputs from MDM Policy & Practice
#146
of 189 outputs
Outputs of similar age
#253,480
of 353,562 outputs
Outputs of similar age from MDM Policy & Practice
#7
of 8 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 189 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 17th percentile – i.e., 17% 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 353,562 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.