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Re-analysis of whole-exome sequencing data uncovers novel diagnostic variants and improves molecular diagnostic yields for sudden death and idiopathic diseases

Overview of attention for article published in Genome Medicine, December 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
19 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Re-analysis of whole-exome sequencing data uncovers novel diagnostic variants and improves molecular diagnostic yields for sudden death and idiopathic diseases
Published in
Genome Medicine, December 2019
DOI 10.1186/s13073-019-0702-2
Pubmed ID
Authors

Elias L. Salfati, Emily G. Spencer, Sarah E. Topol, Evan D. Muse, Manuel Rueda, Jonathan R. Lucas, Glenn N. Wagner, Steven Campman, Eric J. Topol, Ali Torkamani

Twitter Demographics

The data shown below were collected from the profiles of 19 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 23%
Student > Master 9 23%
Student > Ph. D. Student 5 13%
Student > Doctoral Student 3 8%
Other 2 5%
Other 4 10%
Unknown 7 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 41%
Computer Science 3 8%
Medicine and Dentistry 3 8%
Agricultural and Biological Sciences 2 5%
Arts and Humanities 1 3%
Other 4 10%
Unknown 10 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 11 January 2020.
All research outputs
#1,762,220
of 16,579,356 outputs
Outputs from Genome Medicine
#427
of 1,110 outputs
Outputs of similar age
#52,833
of 342,904 outputs
Outputs of similar age from Genome Medicine
#43
of 85 outputs
Altmetric has tracked 16,579,356 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,110 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.6. This one has gotten more attention than average, scoring higher than 61% 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 342,904 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.