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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High-Resolution CRISPR Screens Reveal Fitness Genes and Genotype-Specific Cancer Liabilities
|
|---|---|
| Published in |
Cell, November 2015
|
| DOI | 10.1016/j.cell.2015.11.015 |
| Pubmed ID | |
| Authors |
Traver Hart, Megha Chandrashekhar, Michael Aregger, Zachary Steinhart, Kevin R. Brown, Graham MacLeod, Monika Mis, Michal Zimmermann, Amelie Fradet-Turcotte, Song Sun, Patricia Mero, Peter Dirks, Sachdev Sidhu, Frederick P. Roth, Olivia S. Rissland, Daniel Durocher, Stephane Angers, Jason Moffat |
| Abstract |
The ability to perturb genes in human cells is crucial for elucidating gene function and holds great potential for finding therapeutic targets for diseases such as cancer. To extend the catalog of human core and context-dependent fitness genes, we have developed a high-complexity second-generation genome-scale CRISPR-Cas9 gRNA library and applied it to fitness screens in five human cell lines. Using an improved Bayesian analytical approach, we consistently discover 5-fold more fitness genes than were previously observed. We present a list of 1,580 human core fitness genes and describe their general properties. Moreover, we demonstrate that context-dependent fitness genes accurately recapitulate pathway-specific genetic vulnerabilities induced by known oncogenes and reveal cell-type-specific dependencies for specific receptor tyrosine kinases, even in oncogenic KRAS backgrounds. Thus, rigorous identification of human cell line fitness genes using a high-complexity CRISPR-Cas9 library affords a high-resolution view of the genetic vulnerabilities of a cell. |
X Demographics
The data shown below were collected from the profiles of 74 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 | 22 | 30% |
| Canada | 7 | 9% |
| Spain | 5 | 7% |
| United Kingdom | 2 | 3% |
| Italy | 2 | 3% |
| Japan | 2 | 3% |
| Germany | 2 | 3% |
| France | 1 | 1% |
| Australia | 1 | 1% |
| Other | 6 | 8% |
| Unknown | 24 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 45 | 61% |
| Scientists | 27 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,013 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | <1% |
| United Kingdom | 7 | <1% |
| Germany | 6 | <1% |
| Canada | 5 | <1% |
| Sweden | 3 | <1% |
| Finland | 2 | <1% |
| France | 1 | <1% |
| India | 1 | <1% |
| Austria | 1 | <1% |
| Other | 7 | <1% |
| Unknown | 1971 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 487 | 24% |
| Researcher | 425 | 21% |
| Student > Bachelor | 193 | 10% |
| Student > Master | 177 | 9% |
| Student > Doctoral Student | 80 | 4% |
| Other | 268 | 13% |
| Unknown | 383 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 753 | 37% |
| Agricultural and Biological Sciences | 503 | 25% |
| Medicine and Dentistry | 117 | 6% |
| Immunology and Microbiology | 42 | 2% |
| Computer Science | 36 | 2% |
| Other | 149 | 7% |
| Unknown | 413 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 300. 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 19 March 2024.
All research outputs
#117,718
of 25,734,859 outputs
Outputs from Cell
#670
of 17,267 outputs
Outputs of similar age
#1,666
of 395,259 outputs
Outputs of similar age from Cell
#8
of 183 outputs
Altmetric has tracked 25,734,859 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,267 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.6. This one has done particularly well, scoring higher than 96% 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 395,259 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 183 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.