| Title |
Advances in genome editing technology and its promising application in evolutionary and ecological studies
|
|---|---|
| Published in |
Giga Science, October 2014
|
| DOI | 10.1186/2047-217x-3-24 |
| Pubmed ID | |
| Authors |
Lei Chen, Linyi Tang, Hui Xiang, Lijun Jin, Qiye Li, Yang Dong, Wen Wang, Guojie Zhang |
X Demographics
The data shown below were collected from the profiles of 10 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 | 2 | 20% |
| United Kingdom | 2 | 20% |
| Canada | 1 | 10% |
| Australia | 1 | 10% |
| China | 1 | 10% |
| Hong Kong | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 1 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 227 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hong Kong | 2 | <1% |
| United Kingdom | 2 | <1% |
| Germany | 1 | <1% |
| Finland | 1 | <1% |
| Netherlands | 1 | <1% |
| India | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 218 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 42 | 19% |
| Student > Ph. D. Student | 40 | 18% |
| Researcher | 37 | 16% |
| Student > Master | 25 | 11% |
| Professor > Associate Professor | 10 | 4% |
| Other | 32 | 14% |
| Unknown | 41 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 95 | 42% |
| Biochemistry, Genetics and Molecular Biology | 64 | 28% |
| Medicine and Dentistry | 6 | 3% |
| Immunology and Microbiology | 3 | 1% |
| Engineering | 3 | 1% |
| Other | 11 | 5% |
| Unknown | 45 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 25 March 2020.
All research outputs
#1,473,403
of 25,373,627 outputs
Outputs from Giga Science
#253
of 1,167 outputs
Outputs of similar age
#16,759
of 274,413 outputs
Outputs of similar age from Giga Science
#12
of 21 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,167 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has done well, scoring higher than 78% 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 274,413 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 93% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.