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EM-mosaic detects mosaic point mutations that contribute to congenital heart disease

Overview of attention for article published in Genome Medicine, April 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
33 Mendeley
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Title
EM-mosaic detects mosaic point mutations that contribute to congenital heart disease
Published in
Genome Medicine, April 2020
DOI 10.1186/s13073-020-00738-1
Pubmed ID
Authors

Alexander Hsieh, Sarah U. Morton, Jon A. L. Willcox, Joshua M. Gorham, Angela C. Tai, Hongjian Qi, Steven DePalma, David McKean, Emily Griffin, Kathryn B. Manheimer, Daniel Bernstein, Richard W. Kim, Jane W. Newburger, George A. Porter, Deepak Srivastava, Martin Tristani-Firouzi, Martina Brueckner, Richard P. Lifton, Elizabeth Goldmuntz, Bruce D. Gelb, Wendy K. Chung, Christine E. Seidman, J. G. Seidman, Yufeng Shen

Twitter Demographics

The data shown below were collected from the profiles of 6 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Researcher 7 21%
Student > Bachelor 4 12%
Student > Doctoral Student 3 9%
Professor 2 6%
Other 5 15%
Unknown 5 15%
Readers by discipline Count As %
Medicine and Dentistry 8 24%
Biochemistry, Genetics and Molecular Biology 7 21%
Agricultural and Biological Sciences 4 12%
Engineering 2 6%
Neuroscience 2 6%
Other 2 6%
Unknown 8 24%

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 12 May 2020.
All research outputs
#5,198,609
of 17,704,521 outputs
Outputs from Genome Medicine
#866
of 1,185 outputs
Outputs of similar age
#103,013
of 283,272 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 17,704,521 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,185 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.2. This one is in the 26th percentile – i.e., 26% 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 283,272 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 63% 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