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Recommendations for clinical interpretation of variants found in non-coding regions of the genome

Overview of attention for article published in Genome Medicine, July 2022
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#34 of 1,618)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
7 news outlets
blogs
1 blog
twitter
194 X users
facebook
1 Facebook page

Citations

dimensions_citation
77 Dimensions

Readers on

mendeley
239 Mendeley
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Title
Recommendations for clinical interpretation of variants found in non-coding regions of the genome
Published in
Genome Medicine, July 2022
DOI 10.1186/s13073-022-01073-3
Pubmed ID
Authors

Jamie M. Ellingford, Joo Wook Ahn, Richard D. Bagnall, Diana Baralle, Stephanie Barton, Chris Campbell, Kate Downes, Sian Ellard, Celia Duff-Farrier, David R. FitzPatrick, John M. Greally, Jodie Ingles, Neesha Krishnan, Jenny Lord, Hilary C. Martin, William G. Newman, Anne O’Donnell-Luria, Simon C. Ramsden, Heidi L. Rehm, Ebony Richardson, Moriel Singer-Berk, Jenny C. Taylor, Maggie Williams, Jordan C. Wood, Caroline F. Wright, Steven M. Harrison, Nicola Whiffin

X Demographics

X Demographics

The data shown below were collected from the profiles of 194 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 239 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 239 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 15%
Student > Ph. D. Student 27 11%
Student > Master 25 10%
Student > Bachelor 12 5%
Other 11 5%
Other 36 15%
Unknown 91 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 78 33%
Medicine and Dentistry 22 9%
Agricultural and Biological Sciences 14 6%
Unspecified 10 4%
Computer Science 6 3%
Other 12 5%
Unknown 97 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 176. 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 09 April 2024.
All research outputs
#234,958
of 25,827,956 outputs
Outputs from Genome Medicine
#34
of 1,618 outputs
Outputs of similar age
#6,658
of 437,521 outputs
Outputs of similar age from Genome Medicine
#2
of 42 outputs
Altmetric has tracked 25,827,956 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,618 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one has done particularly well, scoring higher than 97% 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 437,521 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.