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 |
SECNVs: A Simulator of Copy Number Variants and Whole-Exome Sequences From Reference Genomes
|
|---|---|
| Published in |
Frontiers in Genetics, February 2020
|
| DOI | 10.3389/fgene.2020.00082 |
| Pubmed ID | |
| Authors |
Yue Xing, Alan R. Dabney, Xiao Li, Guosong Wang, Clare A. Gill, Claudio Casola |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 33% |
| Switzerland | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 21% |
| Researcher | 6 | 18% |
| Student > Ph. D. Student | 4 | 12% |
| Student > Bachelor | 3 | 9% |
| Other | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 9 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 42% |
| Agricultural and Biological Sciences | 4 | 12% |
| Computer Science | 2 | 6% |
| Chemistry | 1 | 3% |
| Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 11 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 20 July 2020.
All research outputs
#3,328,610
of 24,226,848 outputs
Outputs from Frontiers in Genetics
#953
of 13,008 outputs
Outputs of similar age
#71,059
of 365,438 outputs
Outputs of similar age from Frontiers in Genetics
#27
of 404 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,008 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 92% 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 365,438 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 80% of its contemporaries.
We're also able to compare this research output to 404 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.