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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying chemogenetic interactions from CRISPR screens with drugZ
|
|---|---|
| Published in |
Genome Medicine, August 2019
|
| DOI | 10.1186/s13073-019-0665-3 |
| Pubmed ID | |
| Authors |
Medina Colic, Gang Wang, Michal Zimmermann, Keith Mascall, Megan McLaughlin, Lori Bertolet, W. Frank Lenoir, Jason Moffat, Stephane Angers, Daniel Durocher, Traver Hart |
X Demographics
The data shown below were collected from the profiles of 24 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 | 5 | 21% |
| United Kingdom | 3 | 13% |
| Canada | 1 | 4% |
| Portugal | 1 | 4% |
| Unknown | 14 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 17 | 71% |
| Members of the public | 7 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 210 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 21% |
| Researcher | 37 | 18% |
| Student > Master | 19 | 9% |
| Student > Bachelor | 15 | 7% |
| Other | 6 | 3% |
| Other | 20 | 10% |
| Unknown | 69 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 80 | 38% |
| Agricultural and Biological Sciences | 28 | 13% |
| Computer Science | 6 | 3% |
| Immunology and Microbiology | 4 | 2% |
| Business, Management and Accounting | 3 | 1% |
| Other | 17 | 8% |
| Unknown | 72 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 08 September 2021.
All research outputs
#2,935,840
of 25,175,727 outputs
Outputs from Genome Medicine
#668
of 1,555 outputs
Outputs of similar age
#56,542
of 348,335 outputs
Outputs of similar age from Genome Medicine
#9
of 17 outputs
Altmetric has tracked 25,175,727 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,555 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has gotten more attention than average, scoring higher than 56% 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 348,335 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 83% of its contemporaries.
We're also able to compare this research output to 17 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 52% of its contemporaries.