↓ Skip to main content

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

Overview of attention for article published in Genome Medicine, April 2020
Altmetric Badge

About this Attention Score

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

Mentioned by

twitter
6 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
37 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Researcher 6 16%
Student > Bachelor 4 11%
Student > Doctoral Student 3 8%
Other 2 5%
Other 6 16%
Unknown 8 22%
Readers by discipline Count As %
Medicine and Dentistry 9 24%
Biochemistry, Genetics and Molecular Biology 7 19%
Agricultural and Biological Sciences 4 11%
Engineering 2 5%
Neuroscience 2 5%
Other 2 5%
Unknown 11 30%
Attention Score in Context

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
#6,870,736
of 23,204,238 outputs
Outputs from Genome Medicine
#1,083
of 1,452 outputs
Outputs of similar age
#137,491
of 377,836 outputs
Outputs of similar age from Genome Medicine
#15
of 24 outputs
Altmetric has tracked 23,204,238 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 1,452 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one is in the 24th percentile – i.e., 24% 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 377,836 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 24 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.