You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer
|
|---|---|
| Published in |
Genome Medicine, May 2020
|
| DOI | 10.1186/s13073-020-00745-2 |
| Pubmed ID | |
| Authors |
Yoo-Ah Kim, Damian Wojtowicz, Rebecca Sarto Basso, Itay Sason, Welles Robinson, Dorit S. Hochbaum, Mark D. M. Leiserson, Roded Sharan, Fabio Vadin, Teresa M. Przytycka |
X Demographics
The data shown below were collected from the profiles of 4 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 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 26% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Master | 4 | 9% |
| Student > Postgraduate | 3 | 7% |
| Other | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 11 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 30% |
| Agricultural and Biological Sciences | 6 | 14% |
| Medicine and Dentistry | 4 | 9% |
| Social Sciences | 3 | 7% |
| Computer Science | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 16 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 06 September 2023.
All research outputs
#14,937,796
of 25,411,814 outputs
Outputs from Genome Medicine
#1,341
of 1,587 outputs
Outputs of similar age
#221,056
of 431,562 outputs
Outputs of similar age from Genome Medicine
#24
of 27 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,587 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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 431,562 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.