| Title |
Comparison of somatic mutation calling methods in amplicon and whole exome sequence data
|
|---|---|
| Published in |
BMC Genomics, March 2014
|
| DOI | 10.1186/1471-2164-15-244 |
| Pubmed ID | |
| Authors |
Huilei Xu, John DiCarlo, Ravi Vijaya Satya, Quan Peng, Yexun Wang |
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 | 1 | 17% |
| Canada | 1 | 17% |
| United Kingdom | 1 | 17% |
| Germany | 1 | 17% |
| Israel | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 349 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 1% |
| Germany | 3 | <1% |
| United States | 3 | <1% |
| France | 2 | <1% |
| Australia | 2 | <1% |
| Netherlands | 2 | <1% |
| Denmark | 2 | <1% |
| Canada | 2 | <1% |
| Cuba | 1 | <1% |
| Other | 8 | 2% |
| Unknown | 320 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 92 | 26% |
| Student > Ph. D. Student | 88 | 25% |
| Student > Master | 42 | 12% |
| Other | 29 | 8% |
| Student > Bachelor | 19 | 5% |
| Other | 44 | 13% |
| Unknown | 35 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 125 | 36% |
| Biochemistry, Genetics and Molecular Biology | 86 | 25% |
| Computer Science | 39 | 11% |
| Medicine and Dentistry | 36 | 10% |
| Mathematics | 6 | 2% |
| Other | 17 | 5% |
| Unknown | 40 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 April 2021.
All research outputs
#5,611,796
of 26,017,215 outputs
Outputs from BMC Genomics
#2,234
of 11,367 outputs
Outputs of similar age
#51,575
of 242,409 outputs
Outputs of similar age from BMC Genomics
#34
of 220 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 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 78% 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 242,409 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 76% of its contemporaries.
We're also able to compare this research output to 220 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.