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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improvement of the LbCas12a-crRNA System for Efficient Gene Targeting in Tomato
|
|---|---|
| Published in |
Frontiers in Plant Science, August 2021
|
| DOI | 10.3389/fpls.2021.722552 |
| Pubmed ID | |
| Authors |
Tien Van Vu, Duong Thi Hai Doan, Mil Thi Tran, Yeon Woo Sung, Young Jong Song, Jae-Yean Kim |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 13% |
| Unknown | 7 | 88% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 3 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 27% |
| Researcher | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Student > Postgraduate | 2 | 8% |
| Student > Master | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 38% |
| Agricultural and Biological Sciences | 4 | 15% |
| Computer Science | 1 | 4% |
| Unknown | 11 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 28 August 2021.
All research outputs
#6,805,521
of 24,842,061 outputs
Outputs from Frontiers in Plant Science
#3,682
of 23,742 outputs
Outputs of similar age
#129,502
of 423,669 outputs
Outputs of similar age from Frontiers in Plant Science
#132
of 818 outputs
Altmetric has tracked 24,842,061 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 23,742 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 84% 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 423,669 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 69% of its contemporaries.
We're also able to compare this research output to 818 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.