| Title |
CancerGD: A Resource for Identifying and Interpreting Genetic Dependencies in Cancer
|
|---|---|
| Published in |
Cell Systems, July 2017
|
| DOI | 10.1016/j.cels.2017.06.002 |
| Pubmed ID | |
| Authors |
Stephen Bridgett, James Campbell, Christopher J. Lord, Colm J. Ryan |
| Abstract |
Genes whose function is selectively essential in the presence of cancer-associated genetic aberrations represent promising targets for the development of precision therapeutics. Here, we present CancerGD, a resource that integrates genotypic profiling with large-scale loss-of-function genetic screens in tumor cell lines to identify such genetic dependencies. CancerGD provides tools for searching, visualizing, and interpreting these genetic dependencies through the integration of functional interaction networks. CancerGD includes different screen types (siRNA, shRNA, CRISPR), and we describe a simple format for submitting new datasets. |
X Demographics
The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 4 | 15% |
| United States | 3 | 12% |
| United Kingdom | 2 | 8% |
| Switzerland | 1 | 4% |
| Brazil | 1 | 4% |
| Portugal | 1 | 4% |
| Australia | 1 | 4% |
| Unknown | 13 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 50% |
| Scientists | 10 | 38% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 26% |
| Researcher | 17 | 22% |
| Student > Bachelor | 7 | 9% |
| Professor | 5 | 7% |
| Student > Master | 5 | 7% |
| Other | 10 | 13% |
| Unknown | 12 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 29 | 38% |
| Agricultural and Biological Sciences | 18 | 24% |
| Computer Science | 5 | 7% |
| Immunology and Microbiology | 3 | 4% |
| Medicine and Dentistry | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 14 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 11 July 2019.
All research outputs
#2,447,469
of 25,382,440 outputs
Outputs from Cell Systems
#492
of 981 outputs
Outputs of similar age
#44,673
of 324,886 outputs
Outputs of similar age from Cell Systems
#12
of 34 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 981 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.2. This one is in the 49th percentile – i.e., 49% 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 324,886 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 86% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.