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A clinical survey of mosaic single nucleotide variants in disease-causing genes detected by exome sequencing

Overview of attention for article published in Genome Medicine, July 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 (87th percentile)

Mentioned by

twitter
30 tweeters

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
56 Mendeley
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Title
A clinical survey of mosaic single nucleotide variants in disease-causing genes detected by exome sequencing
Published in
Genome Medicine, July 2019
DOI 10.1186/s13073-019-0658-2
Pubmed ID
Authors

Ye Cao, Mari J. Tokita, Edward S. Chen, Rajarshi Ghosh, Tiansheng Chen, Yanming Feng, Elizabeth Gorman, Federica Gibellini, Patricia A. Ward, Alicia Braxton, Xia Wang, Linyan Meng, Rui Xiao, Weimin Bi, Fan Xia, Christine M. Eng, Yaping Yang, Tomasz Gambin, Chad Shaw, Pengfei Liu, Pawel Stankiewicz

Twitter Demographics

The data shown below were collected from the profiles of 30 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 21%
Other 10 18%
Student > Ph. D. Student 8 14%
Student > Master 5 9%
Student > Bachelor 2 4%
Other 6 11%
Unknown 13 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 32%
Medicine and Dentistry 11 20%
Agricultural and Biological Sciences 6 11%
Neuroscience 2 4%
Immunology and Microbiology 1 2%
Other 2 4%
Unknown 16 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 30 September 2019.
All research outputs
#1,577,373
of 19,925,806 outputs
Outputs from Genome Medicine
#357
of 1,298 outputs
Outputs of similar age
#34,229
of 277,786 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 19,925,806 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,298 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 72% 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 277,786 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 87% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them