| Title |
An EM algorithm to improve the estimation of the probability of clonal relatedness of pairs of tumors in cancer patients
|
|---|---|
| Published in |
BMC Bioinformatics, November 2019
|
| DOI | 10.1186/s12859-019-3148-z |
| Pubmed ID | |
| Authors |
Audrey Mauguen, Venkatraman E. Seshan, Irina Ostrovnaya, Colin B. Begg |
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 % |
|---|---|---|
| United States | 2 | 29% |
| United Kingdom | 2 | 29% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 43% |
| Members of the public | 2 | 29% |
| Science communicators (journalists, bloggers, editors) | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 1 | 14% |
| Student > Doctoral Student | 1 | 14% |
| Student > Bachelor | 1 | 14% |
| Student > Master | 1 | 14% |
| Researcher | 1 | 14% |
| Other | 0 | 0% |
| Unknown | 2 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 29% |
| Biochemistry, Genetics and Molecular Biology | 1 | 14% |
| Mathematics | 1 | 14% |
| Unknown | 3 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 15 November 2019.
All research outputs
#6,860,489
of 23,172,045 outputs
Outputs from BMC Bioinformatics
#2,595
of 7,342 outputs
Outputs of similar age
#126,171
of 365,941 outputs
Outputs of similar age from BMC Bioinformatics
#67
of 174 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,342 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 64% 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 365,941 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 174 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 61% of its contemporaries.