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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A prime editor mouse to model a broad spectrum of somatic mutations in vivo
|
|---|---|
| Published in |
Nature Biotechnology, May 2023
|
| DOI | 10.1038/s41587-023-01783-y |
| Pubmed ID | |
| Authors |
Zackery A. Ely, Nicolas Mathey-Andrews, Santiago Naranjo, Samuel I. Gould, Kim L. Mercer, Gregory A. Newby, Christina M. Cabana, William M. Rideout, Grissel Cervantes Jaramillo, Jennifer M. Khirallah, Katie Holland, Peyton B. Randolph, William A. Freed-Pastor, Jessie R. Davis, Zachary Kulstad, Peter M. K. Westcott, Lin Lin, Andrew V. Anzalone, Brendan L. Horton, Nimisha B. Pattada, Sean-Luc Shanahan, Zhongfeng Ye, Stefani Spranger, Qiaobing Xu, Francisco J. Sánchez-Rivera, David R. Liu, Tyler Jacks |
X Demographics
The data shown below were collected from the profiles of 179 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 | 65 | 36% |
| Spain | 6 | 3% |
| India | 6 | 3% |
| United Kingdom | 5 | 3% |
| Pakistan | 4 | 2% |
| Germany | 4 | 2% |
| Canada | 3 | 2% |
| China | 2 | 1% |
| Austria | 2 | 1% |
| Other | 17 | 9% |
| Unknown | 65 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 96 | 54% |
| Scientists | 77 | 43% |
| Science communicators (journalists, bloggers, editors) | 5 | 3% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 24% |
| Student > Ph. D. Student | 11 | 16% |
| Student > Master | 5 | 7% |
| Student > Bachelor | 4 | 6% |
| Student > Doctoral Student | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 20 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 39% |
| Agricultural and Biological Sciences | 5 | 7% |
| Immunology and Microbiology | 4 | 6% |
| Chemistry | 3 | 4% |
| Computer Science | 1 | 1% |
| Other | 8 | 11% |
| Unknown | 22 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 245. 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 January 2024.
All research outputs
#155,112
of 25,775,807 outputs
Outputs from Nature Biotechnology
#309
of 8,622 outputs
Outputs of similar age
#3,841
of 404,942 outputs
Outputs of similar age from Nature Biotechnology
#16
of 121 outputs
Altmetric has tracked 25,775,807 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,622 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.5. This one has done particularly well, scoring higher than 96% 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 404,942 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 99% of its contemporaries.
We're also able to compare this research output to 121 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.