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X Demographics
Mendeley readers
Attention Score in Context
| Title |
LowMACA: exploiting protein family analysis for the identification of rare driver mutations in cancer
|
|---|---|
| Published in |
BMC Bioinformatics, February 2016
|
| DOI | 10.1186/s12859-016-0935-7 |
| Pubmed ID | |
| Authors |
Giorgio E. M. Melloni, Stefano de Pretis, Laura Riva, Mattia Pelizzola, Arnaud Céol, Jole Costanza, Heiko Müller, Luca Zammataro |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 6% |
| Italy | 2 | 6% |
| Sri Lanka | 1 | 3% |
| Unknown | 26 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 35% |
| Student > Ph. D. Student | 5 | 16% |
| Student > Master | 3 | 10% |
| Student > Bachelor | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 26% |
| Biochemistry, Genetics and Molecular Biology | 7 | 23% |
| Computer Science | 6 | 19% |
| Medicine and Dentistry | 5 | 16% |
| Engineering | 2 | 6% |
| Other | 1 | 3% |
| Unknown | 2 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 18 February 2016.
All research outputs
#21,285,712
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#6,798
of 7,793 outputs
Outputs of similar age
#310,094
of 415,491 outputs
Outputs of similar age from BMC Bioinformatics
#125
of 141 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 5th percentile – i.e., 5% 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 415,491 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.