| Title |
Accelerated RNA detection using tandem CRISPR nucleases
|
|---|---|
| Published in |
Nature Chemical Biology, August 2021
|
| DOI | 10.1038/s41589-021-00842-2 |
| Pubmed ID | |
| Authors |
Tina Y. Liu, Gavin J. Knott, Dylan C. J. Smock, John J. Desmarais, Sungmin Son, Abdul Bhuiya, Shrutee Jakhanwal, Noam Prywes, Shreeya Agrawal, María Díaz de León Derby, Neil A. Switz, Maxim Armstrong, Andrew R. Harris, Emeric J. Charles, Brittney W. Thornton, Parinaz Fozouni, Jeffrey Shu, Stephanie I. Stephens, G. Renuka Kumar, Chunyu Zhao, Amanda Mok, Anthony T. Iavarone, Arturo M. Escajeda, Roger McIntosh, Shineui Kim, Eli J. Dugan, Katherine S. Pollard, Ming X. Tan, Melanie Ott, Daniel A. Fletcher, Liana F. Lareau, Patrick D. Hsu, David F. Savage, Jennifer A. Doudna |
X Demographics
The data shown below were collected from the profiles of 269 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 | 64 | 24% |
| United Kingdom | 9 | 3% |
| Australia | 8 | 3% |
| Japan | 6 | 2% |
| Canada | 6 | 2% |
| Spain | 6 | 2% |
| India | 5 | 2% |
| Mexico | 5 | 2% |
| Germany | 4 | 1% |
| Other | 43 | 16% |
| Unknown | 113 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 185 | 69% |
| Scientists | 80 | 30% |
| Practitioners (doctors, other healthcare professionals) | 3 | 1% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 213 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 19% |
| Researcher | 35 | 16% |
| Student > Bachelor | 16 | 8% |
| Student > Master | 15 | 7% |
| Student > Doctoral Student | 11 | 5% |
| Other | 26 | 12% |
| Unknown | 70 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 63 | 30% |
| Agricultural and Biological Sciences | 17 | 8% |
| Chemistry | 15 | 7% |
| Engineering | 9 | 4% |
| Immunology and Microbiology | 8 | 4% |
| Other | 24 | 11% |
| Unknown | 77 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 330. 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 04 January 2024.
All research outputs
#102,924
of 25,782,229 outputs
Outputs from Nature Chemical Biology
#21
of 3,431 outputs
Outputs of similar age
#3,079
of 440,360 outputs
Outputs of similar age from Nature Chemical Biology
#1
of 36 outputs
Altmetric has tracked 25,782,229 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 3,431 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one has done particularly well, scoring higher than 99% 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 440,360 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 36 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.