| Title |
Highly efficient base editing in human tripronuclear zygotes
|
|---|---|
| Published in |
Protein & Cell, September 2017
|
| DOI | 10.1007/s13238-017-0459-6 |
| Pubmed ID | |
| Authors |
Changyang Zhou, Meiling Zhang, Yu Wei, Yidi Sun, Yun Sun, Hong Pan, Ning Yao, Wanxia Zhong, Yixue Li, Weiping Li, Hui Yang, Zi-jiang Chen |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 18% |
| Student > Bachelor | 8 | 14% |
| Researcher | 6 | 11% |
| Student > Ph. D. Student | 6 | 11% |
| Student > Postgraduate | 4 | 7% |
| Other | 7 | 12% |
| Unknown | 16 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 20 | 35% |
| Agricultural and Biological Sciences | 13 | 23% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Immunology and Microbiology | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 18 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 16 March 2019.
All research outputs
#1,711,555
of 23,005,189 outputs
Outputs from Protein & Cell
#56
of 741 outputs
Outputs of similar age
#35,974
of 315,622 outputs
Outputs of similar age from Protein & Cell
#4
of 22 outputs
Altmetric has tracked 23,005,189 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 741 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done particularly well, scoring higher than 92% 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 315,622 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 88% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.