| Title |
Large dataset enables prediction of repair after CRISPR–Cas9 editing in primary T cells
|
|---|---|
| Published in |
Nature Biotechnology, July 2019
|
| DOI | 10.1038/s41587-019-0203-2 |
| Pubmed ID | |
| Authors |
Ryan T. Leenay, Amirali Aghazadeh, Joseph Hiatt, David Tse, Theodore L. Roth, Ryan Apathy, Eric Shifrut, Judd F. Hultquist, Nevan Krogan, Zhenqin Wu, Giana Cirolia, Hera Canaj, Manuel D. Leonetti, Alexander Marson, Andrew P. May, James Zou |
X Demographics
The data shown below were collected from the profiles of 143 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 | 45 | 31% |
| United Kingdom | 10 | 7% |
| Italy | 6 | 4% |
| Germany | 5 | 3% |
| Japan | 3 | 2% |
| France | 3 | 2% |
| Canada | 3 | 2% |
| Netherlands | 2 | 1% |
| India | 2 | 1% |
| Other | 9 | 6% |
| Unknown | 55 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 82 | 57% |
| Scientists | 50 | 35% |
| Practitioners (doctors, other healthcare professionals) | 8 | 6% |
| Science communicators (journalists, bloggers, editors) | 3 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 220 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 220 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 51 | 23% |
| Student > Ph. D. Student | 50 | 23% |
| Student > Bachelor | 18 | 8% |
| Student > Master | 15 | 7% |
| Other | 9 | 4% |
| Other | 24 | 11% |
| Unknown | 53 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 68 | 31% |
| Agricultural and Biological Sciences | 37 | 17% |
| Immunology and Microbiology | 19 | 9% |
| Computer Science | 12 | 5% |
| Medicine and Dentistry | 7 | 3% |
| Other | 20 | 9% |
| Unknown | 57 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 98. 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 19 January 2022.
All research outputs
#440,948
of 25,734,859 outputs
Outputs from Nature Biotechnology
#992
of 8,610 outputs
Outputs of similar age
#8,952
of 360,490 outputs
Outputs of similar age from Nature Biotechnology
#35
of 91 outputs
Altmetric has tracked 25,734,859 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,610 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.4. This one has done well, scoring higher than 88% 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 360,490 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 97% of its contemporaries.
We're also able to compare this research output to 91 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 61% of its contemporaries.