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 |
Predicting cancer drivers: are we there yet?
|
|---|---|
| Published in |
Genome Medicine, November 2012
|
| DOI | 10.1186/gm389 |
| Pubmed ID | |
| Authors |
Vidhya G Krishnan, Pauline C Ng |
| Abstract |
Genomic variants with a key role in causing cancer or affecting the response to cancer therapeutics need to be identified so that they can be targeted for therapy. The transFIC tool aims to identify somatic point mutations that drive cancer in sequencing projects. This package is available as a web service, a stand-alone program and a website. It improves the functional prediction scores generated by popular established prediction tools and will be useful to cancer researchers. |
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 % |
|---|---|---|
| Spain | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 7% |
| Sweden | 1 | 3% |
| Unknown | 27 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 30% |
| Student > Ph. D. Student | 6 | 20% |
| Student > Doctoral Student | 3 | 10% |
| Student > Postgraduate | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 57% |
| Biochemistry, Genetics and Molecular Biology | 6 | 20% |
| Computer Science | 3 | 10% |
| Mathematics | 1 | 3% |
| Unknown | 3 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 29 November 2012.
All research outputs
#4,511,880
of 25,374,647 outputs
Outputs from Genome Medicine
#887
of 1,585 outputs
Outputs of similar age
#42,707
of 285,843 outputs
Outputs of similar age from Genome Medicine
#12
of 23 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,585 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 43rd percentile – i.e., 43% 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 285,843 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 23 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.