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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
An ensemble approach to accurately detect somatic mutations using SomaticSeq
|
|---|---|
| Published in |
Genome Biology, September 2015
|
| DOI | 10.1186/s13059-015-0758-2 |
| Pubmed ID | |
| Authors |
Li Tai Fang, Pegah Tootoonchi Afshar, Aparna Chhibber, Marghoob Mohiyuddin, Yu Fan, John C. Mu, Greg Gibeling, Sharon Barr, Narges Bani Asadi, Mark B. Gerstein, Daniel C. Koboldt, Wenyi Wang, Wing H. Wong, Hugo Y.K. Lam |
| Abstract |
SomaticSeq is an accurate somatic mutation detection pipeline implementing a stochastic boosting algorithm to produce highly accurate somatic mutation calls for both single nucleotide variants and small insertions and deletions. The workflow currently incorporates five state-of-the-art somatic mutation callers, and extracts over 70 individual genomic and sequencing features for each candidate site. A training set is provided to an adaptively boosted decision tree learner to create a classifier for predicting mutation statuses. We validate our results with both synthetic and real data. We report that SomaticSeq is able to achieve better overall accuracy than any individual tool incorporated. |
Twitter Demographics
The data shown below were collected from the profiles of 31 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 16 | 52% |
| United Kingdom | 4 | 13% |
| India | 1 | 3% |
| Australia | 1 | 3% |
| Sao Tome and Principe | 1 | 3% |
| Unknown | 8 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 18 | 58% |
| Members of the public | 12 | 39% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 1% |
| United States | 2 | 1% |
| Korea, Republic of | 1 | <1% |
| Netherlands | 1 | <1% |
| United Kingdom | 1 | <1% |
| Australia | 1 | <1% |
| Taiwan | 1 | <1% |
| New Zealand | 1 | <1% |
| Unknown | 172 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 50 | 27% |
| Student > Master | 27 | 15% |
| Student > Ph. D. Student | 25 | 14% |
| Student > Bachelor | 13 | 7% |
| Other | 9 | 5% |
| Other | 23 | 13% |
| Unknown | 35 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 45 | 25% |
| Agricultural and Biological Sciences | 45 | 25% |
| Computer Science | 24 | 13% |
| Medicine and Dentistry | 13 | 7% |
| Engineering | 8 | 4% |
| Other | 9 | 5% |
| Unknown | 38 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 11 October 2021.
All research outputs
#1,255,830
of 24,003,070 outputs
Outputs from Genome Biology
#1,039
of 4,279 outputs
Outputs of similar age
#18,183
of 276,099 outputs
Outputs of similar age from Genome Biology
#24
of 82 outputs
Altmetric has tracked 24,003,070 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.9. This one has done well, scoring higher than 75% 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 276,099 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 82 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.