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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A single-plasmid approach for genome editing coupled with long-term lineage analysis in chick embryos
|
|---|---|
| Published in |
Development (09501991), April 2021
|
| DOI | 10.1242/dev.193565 |
| Pubmed ID | |
| Authors |
Shashank Gandhi, Yuwei Li, Weiyi Tang, Jens B. Christensen, Hugo A. Urrutia, Felipe M. Vieceli, Michael L. Piacentino, Marianne E. Bronner |
X Demographics
The data shown below were collected from the profiles of 63 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 | 24% |
| United Kingdom | 7 | 11% |
| Canada | 3 | 5% |
| France | 2 | 3% |
| Portugal | 2 | 3% |
| India | 1 | 2% |
| Japan | 1 | 2% |
| Georgia | 1 | 2% |
| Taiwan | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 25 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 38 | 60% |
| Members of the public | 22 | 35% |
| Science communicators (journalists, bloggers, editors) | 3 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 21% |
| Student > Ph. D. Student | 8 | 15% |
| Student > Doctoral Student | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Other | 3 | 6% |
| Other | 8 | 15% |
| Unknown | 16 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 32% |
| Agricultural and Biological Sciences | 8 | 15% |
| Immunology and Microbiology | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Neuroscience | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 17 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 59. 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 10 June 2021.
All research outputs
#736,791
of 25,880,422 outputs
Outputs from Development (09501991)
#159
of 9,641 outputs
Outputs of similar age
#20,787
of 458,629 outputs
Outputs of similar age from Development (09501991)
#2
of 97 outputs
Altmetric has tracked 25,880,422 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,641 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has done particularly well, scoring higher than 98% 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 458,629 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 95% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.