| Title |
5′ capped and 3′ polyA-tailed sgRNAs enhance the efficiency of CRISPR-Cas9 system
|
|---|---|
| Published in |
Protein & Cell, June 2018
|
| DOI | 10.1007/s13238-018-0552-5 |
| Pubmed ID | |
| Authors |
Wei Mu, Yongping Zhang, Xutong Xue, Lei Liu, Xiaofei Wei, Haoyi Wang |
X Demographics
The data shown below were collected from the profiles of 24 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 | 5 | 21% |
| United Kingdom | 4 | 17% |
| Switzerland | 2 | 8% |
| Spain | 2 | 8% |
| Italy | 1 | 4% |
| Germany | 1 | 4% |
| Australia | 1 | 4% |
| Unknown | 8 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 71% |
| Scientists | 7 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 20% |
| Researcher | 11 | 15% |
| Student > Bachelor | 10 | 13% |
| Student > Master | 7 | 9% |
| Student > Doctoral Student | 4 | 5% |
| Other | 6 | 8% |
| Unknown | 22 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 36% |
| Agricultural and Biological Sciences | 10 | 13% |
| Medicine and Dentistry | 4 | 5% |
| Neuroscience | 3 | 4% |
| Chemistry | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 24 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 July 2022.
All research outputs
#2,197,171
of 24,870,516 outputs
Outputs from Protein & Cell
#82
of 802 outputs
Outputs of similar age
#45,022
of 336,019 outputs
Outputs of similar age from Protein & Cell
#8
of 17 outputs
Altmetric has tracked 24,870,516 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 802 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has done particularly well, scoring higher than 90% 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 336,019 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 86% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.