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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Conferring DNA virus resistance with high specificity in plants using virus-inducible genome-editing system
|
|---|---|
| Published in |
Genome Biology, November 2018
|
| DOI | 10.1186/s13059-018-1580-4 |
| Pubmed ID | |
| Authors |
Xiang Ji, Xiaomin Si, Yi Zhang, Huawei Zhang, Feng Zhang, Caixia Gao |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 94 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 15% |
| Student > Ph. D. Student | 12 | 13% |
| Student > Master | 9 | 10% |
| Student > Bachelor | 8 | 9% |
| Student > Doctoral Student | 8 | 9% |
| Other | 12 | 13% |
| Unknown | 31 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 43% |
| Biochemistry, Genetics and Molecular Biology | 15 | 16% |
| Immunology and Microbiology | 3 | 3% |
| Medicine and Dentistry | 2 | 2% |
| Business, Management and Accounting | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 31 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 09 September 2021.
All research outputs
#1,604,636
of 25,385,509 outputs
Outputs from Genome Biology
#1,312
of 4,468 outputs
Outputs of similar age
#33,179
of 354,396 outputs
Outputs of similar age from Genome Biology
#31
of 79 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 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 gotten more attention than average, scoring higher than 70% 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 354,396 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 90% of its contemporaries.
We're also able to compare this research output to 79 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 60% of its contemporaries.