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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Impact of cancer mutational signatures on transcription factor motifs in the human genome
|
|---|---|
| Published in |
BMC Medical Genomics, May 2019
|
| DOI | 10.1186/s12920-019-0525-4 |
| Pubmed ID | |
| Authors |
Calvin Wing Yiu Chan, Zuguang Gu, Matthias Bieg, Roland Eils, Carl Herrmann |
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 Kingdom | 1 | 25% |
| United States | 1 | 25% |
| 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 20% |
| Student > Master | 9 | 18% |
| Researcher | 8 | 16% |
| Student > Doctoral Student | 7 | 14% |
| Student > Bachelor | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 7 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 21 | 42% |
| Agricultural and Biological Sciences | 11 | 22% |
| Computer Science | 5 | 10% |
| Linguistics | 1 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 9 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 31 December 2019.
All research outputs
#14,164,001
of 23,148,322 outputs
Outputs from BMC Medical Genomics
#545
of 1,239 outputs
Outputs of similar age
#185,711
of 350,637 outputs
Outputs of similar age from BMC Medical Genomics
#16
of 32 outputs
Altmetric has tracked 23,148,322 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,239 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 54% 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 350,637 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 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.