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X Demographics
Mendeley readers
Attention Score in Context
| Title |
isoCNV: in silico optimization of copy number variant detection from targeted or exome sequencing data
|
|---|---|
| Published in |
BMC Bioinformatics, October 2021
|
| DOI | 10.1186/s12859-021-04452-6 |
| Pubmed ID | |
| Authors |
Rosa Barcelona-Cabeza, Walter Sanseverino, Riccardo Aiese Cigliano |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
| Sweden | 1 | 13% |
| India | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 4 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 43% |
| Student > Bachelor | 2 | 14% |
| Other | 1 | 7% |
| Student > Master | 1 | 7% |
| Student > Postgraduate | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 3 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 29% |
| Agricultural and Biological Sciences | 2 | 14% |
| Computer Science | 2 | 14% |
| Unspecified | 1 | 7% |
| Veterinary Science and Veterinary Medicine | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 3 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 11 November 2021.
All research outputs
#3,012,014
of 23,310,485 outputs
Outputs from BMC Bioinformatics
#1,049
of 7,382 outputs
Outputs of similar age
#69,398
of 439,690 outputs
Outputs of similar age from BMC Bioinformatics
#32
of 166 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,382 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 85% 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 439,690 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 84% of its contemporaries.
We're also able to compare this research output to 166 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.