| Title |
Development of methods for effective identification of CRISPR/Cas9-induced indels in rice
|
|---|---|
| Published in |
Plant Cell Reports, February 2019
|
| DOI | 10.1007/s00299-019-02392-3 |
| Pubmed ID | |
| Authors |
Sukumar Biswas, Rong Li, Zheng Yuan, Dabing Zhang, Xiangxiang Zhao, Jianxin Shi |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 8% |
| Ecuador | 1 | 8% |
| India | 1 | 8% |
| Canada | 1 | 8% |
| China | 1 | 8% |
| Unknown | 7 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 58% |
| Members of the public | 5 | 42% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 19% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Doctoral Student | 4 | 10% |
| Student > Bachelor | 4 | 10% |
| Student > Master | 4 | 10% |
| Other | 5 | 12% |
| Unknown | 11 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 36% |
| Biochemistry, Genetics and Molecular Biology | 11 | 26% |
| Unspecified | 1 | 2% |
| Business, Management and Accounting | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 8 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 December 2020.
All research outputs
#4,498,713
of 24,208,207 outputs
Outputs from Plant Cell Reports
#277
of 2,287 outputs
Outputs of similar age
#92,001
of 357,038 outputs
Outputs of similar age from Plant Cell Reports
#9
of 38 outputs
Altmetric has tracked 24,208,207 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,287 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 87% 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 357,038 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.