| Title |
BAGEL: a computational framework for identifying essential genes from pooled library screens
|
|---|---|
| Published in |
BMC Bioinformatics, April 2016
|
| DOI | 10.1186/s12859-016-1015-8 |
| Pubmed ID | |
| Authors |
Traver Hart, Jason Moffat |
X Demographics
The data shown below were collected from the profiles of 6 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 | 17% |
| Canada | 1 | 17% |
| France | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 83% |
| Members of the public | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 363 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | <1% |
| Netherlands | 1 | <1% |
| Indonesia | 1 | <1% |
| Germany | 1 | <1% |
| Libya | 1 | <1% |
| United Kingdom | 1 | <1% |
| Denmark | 1 | <1% |
| Croatia | 1 | <1% |
| Unknown | 354 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 87 | 24% |
| Researcher | 75 | 21% |
| Student > Master | 39 | 11% |
| Student > Bachelor | 36 | 10% |
| Student > Doctoral Student | 13 | 4% |
| Other | 38 | 10% |
| Unknown | 75 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 131 | 36% |
| Agricultural and Biological Sciences | 74 | 20% |
| Computer Science | 18 | 5% |
| Medicine and Dentistry | 18 | 5% |
| Immunology and Microbiology | 7 | 2% |
| Other | 35 | 10% |
| Unknown | 80 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 18 February 2019.
All research outputs
#15,232,080
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#4,168
of 7,793 outputs
Outputs of similar age
#147,001
of 300,216 outputs
Outputs of similar age from BMC Bioinformatics
#54
of 104 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 43rd percentile – i.e., 43% 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 300,216 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.