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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens
|
|---|---|
| Published in |
Genome Biology, December 2014
|
| DOI | 10.1186/s13059-014-0554-4 |
| Pubmed ID | |
| Authors |
Wei Li, Han Xu, Tengfei Xiao, Le Cong, Michael I Love, Feng Zhang, Rafael A Irizarry, Jun S Liu, Myles Brown, X Shirley Liu |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,465 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | <1% |
| United Kingdom | 5 | <1% |
| Switzerland | 1 | <1% |
| Netherlands | 1 | <1% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Spain | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 1449 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 336 | 23% |
| Researcher | 275 | 19% |
| Student > Master | 135 | 9% |
| Student > Bachelor | 121 | 8% |
| Student > Doctoral Student | 68 | 5% |
| Other | 190 | 13% |
| Unknown | 340 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 520 | 35% |
| Agricultural and Biological Sciences | 293 | 20% |
| Medicine and Dentistry | 77 | 5% |
| Immunology and Microbiology | 61 | 4% |
| Computer Science | 45 | 3% |
| Other | 103 | 7% |
| Unknown | 366 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 29 February 2024.
All research outputs
#1,290,183
of 25,837,817 outputs
Outputs from Genome Biology
#979
of 4,506 outputs
Outputs of similar age
#16,527
of 371,324 outputs
Outputs of similar age from Genome Biology
#17
of 100 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 78% 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 371,324 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 95% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.