| Title |
Hidden Markov models lead to higher resolution maps of mutation signature activity in cancer
|
|---|---|
| Published in |
Genome Medicine, July 2019
|
| DOI | 10.1186/s13073-019-0659-1 |
| Pubmed ID | |
| Authors |
Damian Wojtowicz, Itay Sason, Xiaoqing Huang, Yoo-Ah Kim, Mark D. M. Leiserson, Teresa M. Przytycka, Roded Sharan |
X Demographics
The data shown below were collected from the profiles of 13 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 Kingdom | 5 | 38% |
| Switzerland | 1 | 8% |
| United States | 1 | 8% |
| India | 1 | 8% |
| Lebanon | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 46% |
| Scientists | 5 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 25% |
| Student > Ph. D. Student | 9 | 15% |
| Student > Master | 9 | 15% |
| Student > Bachelor | 8 | 14% |
| Student > Doctoral Student | 4 | 7% |
| Other | 5 | 8% |
| Unknown | 9 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 31% |
| Agricultural and Biological Sciences | 13 | 22% |
| Computer Science | 8 | 14% |
| Mathematics | 2 | 3% |
| Business, Management and Accounting | 1 | 2% |
| Other | 6 | 10% |
| Unknown | 11 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 30 January 2020.
All research outputs
#2,692,692
of 25,809,966 outputs
Outputs from Genome Medicine
#611
of 1,609 outputs
Outputs of similar age
#53,965
of 362,102 outputs
Outputs of similar age from Genome Medicine
#10
of 20 outputs
Altmetric has tracked 25,809,966 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,609 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has gotten more attention than average, scoring higher than 62% 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 362,102 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 85% of its contemporaries.
We're also able to compare this research output to 20 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 50% of its contemporaries.