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 |
ClinSV: clinical grade structural and copy number variant detection from whole genome sequencing data
|
---|---|
Published in |
Genome Medicine, February 2021
|
DOI | 10.1186/s13073-021-00841-x |
Pubmed ID | |
Authors |
Andre E. Minoche, Ben Lundie, Greg B. Peters, Thomas Ohnesorg, Mark Pinese, David M. Thomas, Andreas Zankl, Tony Roscioli, Nicole Schonrock, Sarah Kummerfeld, Leslie Burnett, Marcel E. Dinger, Mark J. Cowley |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 14% |
Spain | 1 | 14% |
Belgium | 1 | 14% |
Italy | 1 | 14% |
United Kingdom | 1 | 14% |
Unknown | 2 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 6 | 86% |
Members of the public | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 78 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 17% |
Student > Master | 10 | 13% |
Student > Ph. D. Student | 7 | 9% |
Student > Bachelor | 6 | 8% |
Other | 5 | 6% |
Other | 9 | 12% |
Unknown | 28 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 28 | 36% |
Medicine and Dentistry | 9 | 12% |
Agricultural and Biological Sciences | 4 | 5% |
Unspecified | 3 | 4% |
Computer Science | 3 | 4% |
Other | 4 | 5% |
Unknown | 27 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 17 June 2022.
All research outputs
#6,669,618
of 23,975,876 outputs
Outputs from Genome Medicine
#1,078
of 1,479 outputs
Outputs of similar age
#144,462
of 421,005 outputs
Outputs of similar age from Genome Medicine
#35
of 47 outputs
Altmetric has tracked 23,975,876 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,479 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.3. 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 421,005 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 65% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.