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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A large-scale whole-genome sequencing analysis reveals highly specific genome editing by both Cas9 and Cpf1 (Cas12a) nucleases in rice
|
|---|---|
| Published in |
Genome Biology, July 2018
|
| DOI | 10.1186/s13059-018-1458-5 |
| Pubmed ID | |
| Authors |
Xu Tang, Guanqing Liu, Jianping Zhou, Qiurong Ren, Qi You, Li Tian, Xuhui Xin, Zhaohui Zhong, Binglin Liu, Xuelian Zheng, Dengwei Zhang, Aimee Malzahn, Zhiyun Gong, Yiping Qi, Tao Zhang, Yong Zhang |
X Demographics
The data shown below were collected from the profiles of 67 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 | 15 | 22% |
| United Kingdom | 5 | 7% |
| Switzerland | 3 | 4% |
| Canada | 3 | 4% |
| Germany | 3 | 4% |
| Brazil | 2 | 3% |
| Spain | 2 | 3% |
| Philippines | 1 | 1% |
| France | 1 | 1% |
| Other | 5 | 7% |
| Unknown | 27 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 34 | 51% |
| Scientists | 28 | 42% |
| Science communicators (journalists, bloggers, editors) | 4 | 6% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 204 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 53 | 26% |
| Student > Ph. D. Student | 39 | 19% |
| Student > Master | 18 | 9% |
| Student > Doctoral Student | 16 | 8% |
| Student > Bachelor | 8 | 4% |
| Other | 17 | 8% |
| Unknown | 53 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 80 | 39% |
| Biochemistry, Genetics and Molecular Biology | 42 | 21% |
| Environmental Science | 4 | 2% |
| Computer Science | 4 | 2% |
| Engineering | 3 | 1% |
| Other | 11 | 5% |
| Unknown | 60 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 54. 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 12 March 2024.
All research outputs
#795,544
of 25,698,912 outputs
Outputs from Genome Biology
#522
of 4,506 outputs
Outputs of similar age
#16,991
of 343,082 outputs
Outputs of similar age from Genome Biology
#6
of 59 outputs
Altmetric has tracked 25,698,912 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,506 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 done well, scoring higher than 88% 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 343,082 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 94% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.