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X Demographics
Mendeley readers
Attention Score in Context
| Title |
VarGenius executes cohort-level DNA-seq variant calling and annotation and allows to manage the resulting data through a PostgreSQL database
|
|---|---|
| Published in |
BMC Bioinformatics, December 2018
|
| DOI | 10.1186/s12859-018-2532-4 |
| Pubmed ID | |
| Authors |
F. Musacchia, A. Ciolfi, M. Mutarelli, A. Bruselles, R. Castello, M. Pinelli, S. Basu, S. Banfi, G. Casari, M. Tartaglia, V. Nigro |
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 | 3 | 38% |
| Italy | 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 20% |
| Other | 6 | 15% |
| Student > Bachelor | 5 | 13% |
| Student > Doctoral Student | 2 | 5% |
| Professor | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 10 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 30% |
| Agricultural and Biological Sciences | 5 | 13% |
| Medicine and Dentistry | 3 | 8% |
| Business, Management and Accounting | 2 | 5% |
| Computer Science | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 12 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 24 December 2018.
All research outputs
#3,204,604
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#972
of 7,793 outputs
Outputs of similar age
#68,400
of 451,264 outputs
Outputs of similar age from BMC Bioinformatics
#25
of 188 outputs
Altmetric has tracked 26,017,215 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 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 87% 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 451,264 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 188 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.