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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mutational Signatures in Cancer (MuSiCa): a web application to implement mutational signatures analysis in cancer samples
|
|---|---|
| Published in |
BMC Bioinformatics, June 2018
|
| DOI | 10.1186/s12859-018-2234-y |
| Pubmed ID | |
| Authors |
Marcos Díaz-Gay, Maria Vila-Casadesús, Sebastià Franch-Expósito, Eva Hernández-Illán, Juan José Lozano, Sergi Castellví-Bel |
X Demographics
The data shown below were collected from the profiles of 38 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 | 10 | 26% |
| United Kingdom | 4 | 11% |
| India | 2 | 5% |
| Mexico | 2 | 5% |
| Germany | 2 | 5% |
| Thailand | 1 | 3% |
| Austria | 1 | 3% |
| Portugal | 1 | 3% |
| France | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 11 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 55% |
| Scientists | 14 | 37% |
| Practitioners (doctors, other healthcare professionals) | 3 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 128 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 20% |
| Student > Ph. D. Student | 18 | 14% |
| Student > Bachelor | 17 | 13% |
| Student > Master | 12 | 9% |
| Other | 6 | 5% |
| Other | 13 | 10% |
| Unknown | 37 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 47 | 37% |
| Agricultural and Biological Sciences | 15 | 12% |
| Medicine and Dentistry | 9 | 7% |
| Computer Science | 3 | 2% |
| Immunology and Microbiology | 3 | 2% |
| Other | 12 | 9% |
| Unknown | 39 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 16 February 2024.
All research outputs
#1,848,008
of 25,736,439 outputs
Outputs from BMC Bioinformatics
#338
of 7,739 outputs
Outputs of similar age
#37,681
of 343,007 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 99 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,739 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 95% 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 343,007 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 88% of its contemporaries.
We're also able to compare this research output to 99 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 95% of its contemporaries.