| Title |
Recent Advances in Improving Gene-Editing Specificity through CRISPR–Cas9 Nuclease Engineering
|
|---|---|
| Published in |
Cells, July 2022
|
| DOI | 10.3390/cells11142186 |
| Pubmed ID | |
| Authors |
Xiaoqiang Huang, Dongshan Yang, Jifeng Zhang, Jie Xu, Y Eugene Chen |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 17% |
| Researcher | 6 | 17% |
| Student > Bachelor | 2 | 6% |
| Unspecified | 2 | 6% |
| Student > Master | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 14 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 31% |
| Agricultural and Biological Sciences | 4 | 11% |
| Unspecified | 2 | 6% |
| Arts and Humanities | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 15 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 28 July 2022.
All research outputs
#15,464,404
of 22,979,862 outputs
Outputs from Cells
#4,591
of 8,360 outputs
Outputs of similar age
#239,337
of 434,553 outputs
Outputs of similar age from Cells
#300
of 539 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,360 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 434,553 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 539 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.