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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inferring clonal evolution of tumors from single nucleotide somatic mutations
|
|---|---|
| Published in |
BMC Bioinformatics, February 2014
|
| DOI | 10.1186/1471-2105-15-35 |
| Pubmed ID | |
| Authors |
Wei Jiao, Shankar Vembu, Amit G Deshwar, Lincoln Stein, Quaid Morris |
| Abstract |
High-throughput sequencing allows the detection and quantification of frequencies of somatic single nucleotide variants (SNV) in heterogeneous tumor cell populations. In some cases, the evolutionary history and population frequency of the subclonal lineages of tumor cells present in the sample can be reconstructed from these SNV frequency measurements. But automated methods to do this reconstruction are not available and the conditions under which reconstruction is possible have not been described. |
X Demographics
The data shown below were collected from the profiles of 36 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 | 12 | 33% |
| Switzerland | 2 | 6% |
| Canada | 2 | 6% |
| Australia | 1 | 3% |
| Spain | 1 | 3% |
| United Kingdom | 1 | 3% |
| France | 1 | 3% |
| Germany | 1 | 3% |
| Sweden | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 13 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 21 | 58% |
| Members of the public | 14 | 39% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 334 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 4% |
| Germany | 4 | 1% |
| Canada | 4 | 1% |
| United Kingdom | 3 | <1% |
| Netherlands | 2 | <1% |
| Spain | 2 | <1% |
| Ghana | 1 | <1% |
| Australia | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 5 | 1% |
| Unknown | 296 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 98 | 29% |
| Researcher | 77 | 23% |
| Student > Master | 38 | 11% |
| Student > Bachelor | 27 | 8% |
| Student > Doctoral Student | 22 | 7% |
| Other | 41 | 12% |
| Unknown | 31 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 126 | 38% |
| Biochemistry, Genetics and Molecular Biology | 61 | 18% |
| Computer Science | 50 | 15% |
| Mathematics | 17 | 5% |
| Medicine and Dentistry | 12 | 4% |
| Other | 32 | 10% |
| Unknown | 36 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 2017.
All research outputs
#1,304,243
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#174
of 7,454 outputs
Outputs of similar age
#15,488
of 312,960 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 94 outputs
Altmetric has tracked 23,881,329 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 7,454 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 97% 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 312,960 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 95% of its contemporaries.
We're also able to compare this research output to 94 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 98% of its contemporaries.