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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Verification and validation of bioinformatics software without a gold standard: a case study of BWA and Bowtie
|
|---|---|
| Published in |
BMC Bioinformatics, December 2014
|
| DOI | 10.1186/1471-2105-15-s16-s15 |
| Pubmed ID | |
| Authors |
Eleni Giannoulatou, Shin-Ho Park, David T Humphreys, Joshua WK Ho |
X Demographics
The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 10 | 29% |
| United States | 7 | 20% |
| Canada | 2 | 6% |
| Brazil | 1 | 3% |
| Norway | 1 | 3% |
| Italy | 1 | 3% |
| Montenegro | 1 | 3% |
| Israel | 1 | 3% |
| New Zealand | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 23 | 66% |
| Members of the public | 11 | 31% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Italy | 1 | <1% |
| Indonesia | 1 | <1% |
| Russia | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 120 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 23% |
| Researcher | 25 | 20% |
| Student > Master | 19 | 15% |
| Student > Bachelor | 11 | 9% |
| Professor | 6 | 5% |
| Other | 17 | 13% |
| Unknown | 19 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 33% |
| Biochemistry, Genetics and Molecular Biology | 27 | 21% |
| Computer Science | 18 | 14% |
| Immunology and Microbiology | 3 | 2% |
| Medicine and Dentistry | 3 | 2% |
| Other | 12 | 10% |
| Unknown | 22 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 05 March 2017.
All research outputs
#1,745,848
of 24,172,513 outputs
Outputs from BMC Bioinformatics
#356
of 7,508 outputs
Outputs of similar age
#24,490
of 369,377 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 138 outputs
Altmetric has tracked 24,172,513 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,508 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 95% 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 369,377 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 138 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 95% of its contemporaries.