You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Prime editing efficiently generates W542L and S621I double mutations in two ALS genes in maize
|
---|---|
Published in |
Genome Biology, October 2020
|
DOI | 10.1186/s13059-020-02170-5 |
Pubmed ID | |
Authors |
Yuan-Yuan Jiang, Yi-Ping Chai, Min-Hui Lu, Xiu-Li Han, Qiupeng Lin, Yu Zhang, Qiang Zhang, Yun Zhou, Xue-Chen Wang, Caixia Gao, Qi-Jun Chen |
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 % |
---|---|---|
India | 1 | 17% |
United Kingdom | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 50% |
Science communicators (journalists, bloggers, editors) | 2 | 33% |
Members of the public | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 147 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 26 | 18% |
Student > Ph. D. Student | 20 | 14% |
Student > Doctoral Student | 11 | 7% |
Student > Master | 7 | 5% |
Student > Bachelor | 6 | 4% |
Other | 20 | 14% |
Unknown | 57 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 41 | 28% |
Biochemistry, Genetics and Molecular Biology | 21 | 14% |
Unspecified | 5 | 3% |
Medicine and Dentistry | 3 | 2% |
Engineering | 2 | 1% |
Other | 8 | 5% |
Unknown | 67 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 06 October 2022.
All research outputs
#3,601,935
of 24,411,829 outputs
Outputs from Genome Biology
#2,471
of 4,326 outputs
Outputs of similar age
#90,430
of 419,192 outputs
Outputs of similar age from Genome Biology
#60
of 70 outputs
Altmetric has tracked 24,411,829 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,326 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.9. This one is in the 42nd percentile – i.e., 42% 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 419,192 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 78% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.