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.
X Demographics
Mendeley readers
Attention Score in Context
| 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 |
X Demographics
The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 7 | 24% |
| United States | 6 | 21% |
| Israel | 2 | 7% |
| Spain | 2 | 7% |
| Ireland | 1 | 3% |
| Finland | 1 | 3% |
| Australia | 1 | 3% |
| France | 1 | 3% |
| Germany | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 7 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 52% |
| Scientists | 11 | 38% |
| Practitioners (doctors, other healthcare professionals) | 2 | 7% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 21% |
| Other | 12 | 17% |
| Student > Ph. D. Student | 8 | 11% |
| Student > Master | 7 | 10% |
| Student > Bachelor | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 22 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 24 | 33% |
| Medicine and Dentistry | 11 | 15% |
| Agricultural and Biological Sciences | 6 | 8% |
| Neuroscience | 2 | 3% |
| Immunology and Microbiology | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 26 | 36% |
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
#2,194,524
of 25,998,826 outputs
Outputs from Genome Medicine
#481
of 1,612 outputs
Outputs of similar age
#44,410
of 363,352 outputs
Outputs of similar age from Genome Medicine
#7
of 20 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,612 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has gotten more attention than average, scoring higher than 70% 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 363,352 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 20 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 65% of its contemporaries.