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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of drug-inducible CRISPR-Cas9 systems for large-scale functional screening
|
|---|---|
| Published in |
BMC Genomics, March 2019
|
| DOI | 10.1186/s12864-019-5601-9 |
| Pubmed ID | |
| Authors |
Ning Sun, Sakina Petiwala, Rui Wang, Charles Lu, Mufeng Hu, Sujana Ghosh, Yan Hao, Christopher P. Miller, Namjin Chung |
X Demographics
The data shown below were collected from the profiles of 11 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 Kingdom | 2 | 18% |
| United States | 2 | 18% |
| Italy | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Scientists | 5 | 45% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 164 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 21% |
| Student > Ph. D. Student | 31 | 19% |
| Student > Bachelor | 17 | 10% |
| Student > Master | 12 | 7% |
| Student > Doctoral Student | 7 | 4% |
| Other | 19 | 12% |
| Unknown | 43 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 63 | 38% |
| Agricultural and Biological Sciences | 25 | 15% |
| Immunology and Microbiology | 7 | 4% |
| Chemistry | 5 | 3% |
| Neuroscience | 4 | 2% |
| Other | 18 | 11% |
| Unknown | 42 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 26 March 2019.
All research outputs
#6,386,024
of 23,881,329 outputs
Outputs from BMC Genomics
#2,603
of 10,793 outputs
Outputs of similar age
#117,133
of 354,008 outputs
Outputs of similar age from BMC Genomics
#54
of 198 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 75% 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 354,008 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 66% of its contemporaries.
We're also able to compare this research output to 198 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 73% of its contemporaries.