| Title |
Target specificity of the CRISPR‐Cas9 system
|
|---|---|
| Published in |
Quantitative Biology, December 2014
|
| DOI | 10.1007/s40484-014-0030-x |
| Pubmed ID | |
| Authors |
Xuebing Wu, Andrea J. Kriz, Phillip A. Sharp |
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% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,031 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| Germany | 2 | <1% |
| Netherlands | 2 | <1% |
| Australia | 2 | <1% |
| Spain | 2 | <1% |
| Hong Kong | 1 | <1% |
| Austria | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 1013 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 221 | 21% |
| Student > Ph. D. Student | 161 | 16% |
| Student > Master | 156 | 15% |
| Researcher | 115 | 11% |
| Student > Doctoral Student | 42 | 4% |
| Other | 110 | 11% |
| Unknown | 226 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 340 | 33% |
| Agricultural and Biological Sciences | 278 | 27% |
| Medicine and Dentistry | 33 | 3% |
| Immunology and Microbiology | 31 | 3% |
| Engineering | 28 | 3% |
| Other | 80 | 8% |
| Unknown | 241 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 53. 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 20 February 2024.
All research outputs
#766,589
of 24,833,004 outputs
Outputs from Quantitative Biology
#2
of 89 outputs
Outputs of similar age
#9,814
of 372,984 outputs
Outputs of similar age from Quantitative Biology
#1
of 1 outputs
Altmetric has tracked 24,833,004 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 89 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 97% 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 372,984 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 97% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them