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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CaMoDi: a new method for cancer module discovery
|
|---|---|
| Published in |
BMC Genomics, December 2014
|
| DOI | 10.1186/1471-2164-15-s10-s8 |
| Pubmed ID | |
| Authors |
Alexandros Manolakos, Idoia Ochoa, Kartik Venkat, Andrea J Goldsmith, Olivier Gevaert |
| Abstract |
Identification of genomic patterns in tumors is an important problem, which would enable the community to understand and extend effective therapies across the current tissue-based tumor boundaries. With this in mind, in this work we develop a robust and fast algorithm to discover cancer driver genes using an unsupervised clustering of similarly expressed genes across cancer patients. Specifically, we introduce CaMoDi, a new method for module discovery which demonstrates superior performance across a number of computational and statistical metrics. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 8% |
| Italy | 1 | 3% |
| Unknown | 33 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 22% |
| Professor > Associate Professor | 6 | 16% |
| Researcher | 5 | 14% |
| Student > Bachelor | 4 | 11% |
| Student > Master | 4 | 11% |
| Other | 5 | 14% |
| Unknown | 5 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 24% |
| Computer Science | 6 | 16% |
| Medicine and Dentistry | 5 | 14% |
| Nursing and Health Professions | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Other | 6 | 16% |
| Unknown | 5 | 14% |
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 16 July 2015.
All research outputs
#18,388,295
of 22,776,824 outputs
Outputs from BMC Genomics
#8,171
of 10,643 outputs
Outputs of similar age
#258,279
of 356,570 outputs
Outputs of similar age from BMC Genomics
#183
of 234 outputs
Altmetric has tracked 22,776,824 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 10,643 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 356,570 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 234 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.