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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Massively parallel profiling and predictive modeling of the outcomes of CRISPR/Cas9-mediated double-strand break repair
|
|---|---|
| Published in |
Nucleic Acids Research, June 2019
|
| DOI | 10.1093/nar/gkz487 |
| Pubmed ID | |
| Authors |
Wei Chen, Aaron McKenna, Jacob Schreiber, Maximilian Haeussler, Yi Yin, Vikram Agarwal, William Stafford Noble, Jay Shendure |
X Demographics
The data shown below were collected from the profiles of 20 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 | 40% |
| United Kingdom | 1 | 5% |
| Germany | 1 | 5% |
| Canada | 1 | 5% |
| Australia | 1 | 5% |
| Unknown | 8 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 50% |
| Members of the public | 10 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 225 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 64 | 28% |
| Researcher | 41 | 18% |
| Student > Master | 21 | 9% |
| Student > Bachelor | 16 | 7% |
| Student > Doctoral Student | 13 | 6% |
| Other | 23 | 10% |
| Unknown | 47 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 80 | 36% |
| Agricultural and Biological Sciences | 45 | 20% |
| Medicine and Dentistry | 11 | 5% |
| Computer Science | 9 | 4% |
| Engineering | 6 | 3% |
| Other | 22 | 10% |
| Unknown | 52 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 23 September 2021.
All research outputs
#2,717,221
of 25,252,667 outputs
Outputs from Nucleic Acids Research
#3,230
of 27,690 outputs
Outputs of similar age
#55,394
of 359,321 outputs
Outputs of similar age from Nucleic Acids Research
#59
of 296 outputs
Altmetric has tracked 25,252,667 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 27,690 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 88% 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 359,321 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 84% of its contemporaries.
We're also able to compare this research output to 296 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.