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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gene expression anti-profiles as a basis for accurate universal cancer signatures
|
|---|---|
| Published in |
BMC Bioinformatics, October 2012
|
| DOI | 10.1186/1471-2105-13-272 |
| Pubmed ID | |
| Authors |
Héctor Corrada Bravo, Vasyl Pihur, Matthew McCall, Rafael A Irizarry, Jeffrey T Leek |
| Abstract |
Early screening for cancer is arguably one of the greatest public health advances over the last fifty years. However, many cancer screening tests are invasive (digital rectal exams), expensive (mammograms, imaging) or both (colonoscopies). This has spurred growing interest in developing genomic signatures that can be used for cancer diagnosis and prognosis. However, progress has been slowed by heterogeneity in cancer profiles and the lack of effective computational prediction tools for this type of data. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 5 | 50% |
| Australia | 2 | 20% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 3% |
| Italy | 2 | 2% |
| United States | 2 | 2% |
| France | 1 | <1% |
| Malaysia | 1 | <1% |
| India | 1 | <1% |
| Australia | 1 | <1% |
| Spain | 1 | <1% |
| Ukraine | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 89 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 34% |
| Researcher | 28 | 27% |
| Student > Master | 13 | 13% |
| Professor > Associate Professor | 7 | 7% |
| Student > Bachelor | 5 | 5% |
| Other | 11 | 11% |
| Unknown | 3 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 37% |
| Computer Science | 20 | 20% |
| Biochemistry, Genetics and Molecular Biology | 13 | 13% |
| Medicine and Dentistry | 8 | 8% |
| Mathematics | 6 | 6% |
| Other | 9 | 9% |
| Unknown | 8 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 01 March 2014.
All research outputs
#4,462,167
of 22,684,168 outputs
Outputs from BMC Bioinformatics
#1,694
of 7,252 outputs
Outputs of similar age
#33,538
of 182,002 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 113 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,252 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 76% 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 182,002 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 81% of its contemporaries.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.