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Application of a framework to guide genetic testing communication across clinical indications

Overview of attention for article published in Genome Medicine, April 2021
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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3 X users

Citations

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15 Dimensions

Readers on

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23 Mendeley
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Title
Application of a framework to guide genetic testing communication across clinical indications
Published in
Genome Medicine, April 2021
DOI 10.1186/s13073-021-00887-x
Pubmed ID
Authors

Miranda L. G. Hallquist, Eric P. Tricou, Kelly E. Ormond, Juliann M. Savatt, Curtis R. Coughlin, W. Andrew Faucett, Laura Hercher, Howard P. Levy, Julianne M. O’Daniel, Holly L. Peay, Melissa Stosic, Maureen Smith, Wendy R. Uhlmann, Hannah Wand, Karen E. Wain, Adam H. Buchanan

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 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 > Ph. D. Student 5 22%
Professor 3 13%
Researcher 2 9%
Student > Master 2 9%
Other 1 4%
Other 1 4%
Unknown 9 39%
Readers by discipline Count As %
Medicine and Dentistry 4 17%
Biochemistry, Genetics and Molecular Biology 2 9%
Social Sciences 2 9%
Psychology 1 4%
Veterinary Science and Veterinary Medicine 1 4%
Other 2 9%
Unknown 11 48%
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 01 May 2021.
All research outputs
#14,267,331
of 23,308,124 outputs
Outputs from Genome Medicine
#1,268
of 1,456 outputs
Outputs of similar age
#219,647
of 437,488 outputs
Outputs of similar age from Genome Medicine
#51
of 56 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one is in the 12th percentile – i.e., 12% 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 437,488 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.