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Design and user experience testing of a polygenic score report: a qualitative study of prospective users

Overview of attention for article published in BMC Medical Genomics, October 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
2 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
36 Mendeley
Summary Twitter Wikipedia Dimensions citations
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Title
Design and user experience testing of a polygenic score report: a qualitative study of prospective users
Published in
BMC Medical Genomics, October 2021
DOI 10.1186/s12920-021-01056-0
Pubmed ID
34598685
Authors

Deanna G. Brockman, Lia Petronio, Jacqueline S. Dron, Bum Chul Kwon, Trish Vosburg, Lisa Nip, Andrew Tang, Mary O’Reilly, Niall Lennon, Bang Wong, Kenney Ng, Katherine H. Huang, Akl C. Fahed, Amit V. Khera

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 17%
Other 4 11%
Researcher 4 11%
Student > Doctoral Student 3 8%
Professor 2 6%
Other 4 11%
Unknown 13 36%
Readers by discipline Count As %
Medicine and Dentistry 9 25%
Biochemistry, Genetics and Molecular Biology 7 19%
Nursing and Health Professions 2 6%
Social Sciences 2 6%
Agricultural and Biological Sciences 1 3%
Other 1 3%
Unknown 14 39%

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 13 May 2022.
All research outputs
#6,971,434
of 23,310,485 outputs
Outputs from BMC Medical Genomics
#321
of 1,252 outputs
Outputs of similar age
#138,169
of 433,854 outputs
Outputs of similar age from BMC Medical Genomics
#5
of 34 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,252 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 74% 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 433,854 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 67% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.

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