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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SvAnna: efficient and accurate pathogenicity prediction of coding and regulatory structural variants in long-read genome sequencing
|
|---|---|
| Published in |
Genome Medicine, April 2022
|
| DOI | 10.1186/s13073-022-01046-6 |
| Pubmed ID | |
| Authors |
Daniel Danis, Julius O. B. Jacobsen, Parithi Balachandran, Qihui Zhu, Feyza Yilmaz, Justin Reese, Matthias Haimel, Gholson J. Lyon, Ingo Helbig, Christopher J. Mungall, Christine R. Beck, Charles Lee, Damian Smedley, Peter N. Robinson |
X Demographics
The data shown below were collected from the profiles of 9 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 States | 1 | 11% |
| United Kingdom | 1 | 11% |
| Austria | 1 | 11% |
| Unknown | 6 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 41% |
| Student > Ph. D. Student | 4 | 18% |
| Student > Bachelor | 1 | 5% |
| Other | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 6 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 41% |
| Agricultural and Biological Sciences | 2 | 9% |
| Social Sciences | 2 | 9% |
| Mathematics | 1 | 5% |
| Neuroscience | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 7 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 May 2022.
All research outputs
#8,461,180
of 25,257,066 outputs
Outputs from Genome Medicine
#1,236
of 1,564 outputs
Outputs of similar age
#160,499
of 437,260 outputs
Outputs of similar age from Genome Medicine
#28
of 31 outputs
Altmetric has tracked 25,257,066 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,564 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.0. This one is in the 17th percentile – i.e., 17% 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 437,260 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 60% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.