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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Combining calls from multiple somatic mutation-callers
|
|---|---|
| Published in |
BMC Bioinformatics, May 2014
|
| DOI | 10.1186/1471-2105-15-154 |
| Pubmed ID | |
| Authors |
Su Yeon Kim, Laurent Jacob, Terence P Speed |
| Abstract |
Accurate somatic mutation-calling is essential for insightful mutation analyses in cancer studies. Several mutation-callers are publicly available and more are likely to appear. Nonetheless, mutation-calling is still challenging and there is unlikely to be one established caller that systematically outperforms all others. Therefore, fully utilizing multiple callers can be a powerful way to construct a list of final calls for one's research. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 14% |
| Germany | 1 | 14% |
| United Kingdom | 1 | 14% |
| United States | 1 | 14% |
| Canada | 1 | 14% |
| Norway | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 86% |
| Members of the public | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 3% |
| Netherlands | 2 | 2% |
| United States | 2 | 2% |
| Sweden | 1 | 1% |
| Canada | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 81 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 29% |
| Student > Ph. D. Student | 20 | 22% |
| Student > Master | 8 | 9% |
| Other | 6 | 7% |
| Student > Bachelor | 6 | 7% |
| Other | 14 | 15% |
| Unknown | 11 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 34% |
| Biochemistry, Genetics and Molecular Biology | 27 | 30% |
| Computer Science | 8 | 9% |
| Medicine and Dentistry | 6 | 7% |
| Mathematics | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 10 | 11% |
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 29 June 2023.
All research outputs
#2,650,423
of 23,979,951 outputs
Outputs from BMC Bioinformatics
#798
of 7,490 outputs
Outputs of similar age
#26,904
of 229,797 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 151 outputs
Altmetric has tracked 23,979,951 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,490 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 well, scoring higher than 89% 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 229,797 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 88% of its contemporaries.
We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.