| Title |
NmeCas9 is an intrinsically high-fidelity genome-editing platform
|
|---|---|
| Published in |
Genome Biology, December 2018
|
| DOI | 10.1186/s13059-018-1591-1 |
| Pubmed ID | |
| Authors |
Nadia Amrani, Xin D. Gao, Pengpeng Liu, Alireza Edraki, Aamir Mir, Raed Ibraheim, Ankit Gupta, Kanae E. Sasaki, Tong Wu, Paul D. Donohoue, Alexander H. Settle, Alexandra M. Lied, Kyle McGovern, Chris K. Fuller, Peter Cameron, Thomas G. Fazzio, Lihua Julie Zhu, Scot A. Wolfe, Erik J. Sontheimer |
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 | 6 | 30% |
| United Kingdom | 2 | 10% |
| Germany | 1 | 5% |
| Poland | 1 | 5% |
| Austria | 1 | 5% |
| Mexico | 1 | 5% |
| Russia | 1 | 5% |
| Australia | 1 | 5% |
| France | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 5 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 60% |
| Members of the public | 6 | 30% |
| Science communicators (journalists, bloggers, editors) | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 132 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 20% |
| Researcher | 24 | 18% |
| Student > Master | 19 | 14% |
| Student > Bachelor | 14 | 11% |
| Other | 5 | 4% |
| Other | 15 | 11% |
| Unknown | 29 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 51 | 39% |
| Agricultural and Biological Sciences | 22 | 17% |
| Chemical Engineering | 3 | 2% |
| Neuroscience | 3 | 2% |
| Medicine and Dentistry | 3 | 2% |
| Other | 18 | 14% |
| Unknown | 32 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 January 2022.
All research outputs
#1,791,126
of 25,385,509 outputs
Outputs from Genome Biology
#1,485
of 4,468 outputs
Outputs of similar age
#40,113
of 445,348 outputs
Outputs of similar age from Genome Biology
#37
of 73 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 66% 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 445,348 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 90% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.