| Title |
CRISPhieRmix: a hierarchical mixture model for CRISPR pooled screens
|
|---|---|
| Published in |
Genome Biology, October 2018
|
| DOI | 10.1186/s13059-018-1538-6 |
| Pubmed ID | |
| Authors |
Timothy P. Daley, Zhixiang Lin, Xueqiu Lin, Yanxia Liu, Wing Hung Wong, Lei S. Qi |
X Demographics
The data shown below were collected from the profiles of 25 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 | 8 | 32% |
| United Kingdom | 2 | 8% |
| Chile | 1 | 4% |
| Italy | 1 | 4% |
| Canada | 1 | 4% |
| Australia | 1 | 4% |
| Unknown | 11 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 52% |
| Scientists | 11 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 94 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 27% |
| Researcher | 18 | 19% |
| Student > Master | 6 | 6% |
| Student > Bachelor | 5 | 5% |
| Student > Postgraduate | 4 | 4% |
| Other | 11 | 12% |
| Unknown | 25 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 29% |
| Agricultural and Biological Sciences | 19 | 20% |
| Computer Science | 6 | 6% |
| Medicine and Dentistry | 5 | 5% |
| Immunology and Microbiology | 2 | 2% |
| Other | 10 | 11% |
| Unknown | 25 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 November 2018.
All research outputs
#2,598,085
of 25,385,509 outputs
Outputs from Genome Biology
#2,076
of 4,468 outputs
Outputs of similar age
#53,132
of 357,774 outputs
Outputs of similar age from Genome Biology
#50
of 79 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 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 gotten more attention than average, scoring higher than 53% 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 357,774 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 85% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.