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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using passenger mutations to estimate the timing of driver mutations and identify mutator alterations
|
|---|---|
| Published in |
BMC Bioinformatics, December 2013
|
| DOI | 10.1186/1471-2105-14-363 |
| Pubmed ID | |
| Authors |
Ahrim Youn, Richard Simon |
| Abstract |
Recent developments in high-throughput genomic technologies make it possible to have a comprehensive view of genomic alterations in tumors on a whole genome scale. Only a small number of somatic alterations detected in tumor genomes are driver alterations which drive tumorigenesis. Most of the somatic alterations are passengers that are neutral to tumor cell selection. Although most research efforts are focused on analyzing driver alterations, the passenger alterations also provide valuable information about the history of tumor development. |
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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 4% |
| United States | 1 | 4% |
| Belgium | 1 | 4% |
| Brazil | 1 | 4% |
| Unknown | 24 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 36% |
| Student > Ph. D. Student | 8 | 29% |
| Professor > Associate Professor | 2 | 7% |
| Student > Master | 2 | 7% |
| Professor | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 5 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 54% |
| Biochemistry, Genetics and Molecular Biology | 4 | 14% |
| Computer Science | 2 | 7% |
| Medicine and Dentistry | 1 | 4% |
| Neuroscience | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 5 | 18% |
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 15 December 2013.
All research outputs
#18,357,514
of 22,736,112 outputs
Outputs from BMC Bioinformatics
#6,300
of 7,266 outputs
Outputs of similar age
#231,938
of 307,365 outputs
Outputs of similar age from BMC Bioinformatics
#86
of 101 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,266 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 307,365 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 101 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.