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X Demographics
Mendeley readers
Attention Score in Context
| Title |
gscreend: modelling asymmetric count ratios in CRISPR screens to decrease experiment size and improve phenotype detection
|
|---|---|
| Published in |
Genome Biology, March 2020
|
| DOI | 10.1186/s13059-020-1939-1 |
| Pubmed ID | |
| Authors |
Katharina Imkeller, Giulia Ambrosi, Michael Boutros, Wolfgang Huber |
X Demographics
The data shown below were collected from the profiles of 60 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 | 16 | 27% |
| Germany | 12 | 20% |
| United Kingdom | 6 | 10% |
| France | 3 | 5% |
| India | 1 | 2% |
| Portugal | 1 | 2% |
| Switzerland | 1 | 2% |
| Finland | 1 | 2% |
| China | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 14 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 34 | 57% |
| Members of the public | 22 | 37% |
| Science communicators (journalists, bloggers, editors) | 3 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 107 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 22% |
| Researcher | 16 | 15% |
| Student > Doctoral Student | 8 | 7% |
| Student > Master | 8 | 7% |
| Student > Bachelor | 5 | 5% |
| Other | 13 | 12% |
| Unknown | 33 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 38 | 36% |
| Agricultural and Biological Sciences | 19 | 18% |
| Medicine and Dentistry | 3 | 3% |
| Immunology and Microbiology | 2 | 2% |
| Computer Science | 1 | <1% |
| Other | 10 | 9% |
| Unknown | 34 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 13 March 2020.
All research outputs
#1,179,417
of 25,774,185 outputs
Outputs from Genome Biology
#863
of 4,517 outputs
Outputs of similar age
#28,899
of 385,947 outputs
Outputs of similar age from Genome Biology
#26
of 78 outputs
Altmetric has tracked 25,774,185 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,517 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has done well, scoring higher than 80% 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 385,947 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 92% of its contemporaries.
We're also able to compare this research output to 78 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 66% of its contemporaries.