Title |
Massively multiplexed nucleic acid detection with Cas13
|
---|---|
Published in |
Nature, April 2020
|
DOI | 10.1038/s41586-020-2279-8 |
Pubmed ID | |
Authors |
Cheri M. Ackerman, Cameron Myhrvold, Sri Gowtham Thakku, Catherine A. Freije, Hayden C. Metsky, David K. Yang, Simon H. Ye, Chloe K. Boehm, Tinna-Sólveig F. Kosoko-Thoroddsen, Jared Kehe, Tien G. Nguyen, Amber Carter, Anthony Kulesa, John R. Barnes, Vivien G. Dugan, Deborah T. Hung, Paul C. Blainey, Pardis C. Sabeti |
X Demographics
The data shown below were collected from the profiles of 539 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 | 115 | 21% |
Spain | 81 | 15% |
United Kingdom | 24 | 4% |
India | 10 | 2% |
Germany | 8 | 1% |
Australia | 7 | 1% |
Canada | 6 | 1% |
Brazil | 4 | <1% |
Argentina | 4 | <1% |
Other | 58 | 11% |
Unknown | 222 | 41% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 353 | 65% |
Scientists | 166 | 31% |
Practitioners (doctors, other healthcare professionals) | 16 | 3% |
Science communicators (journalists, bloggers, editors) | 4 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 832 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 832 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 139 | 17% |
Student > Ph. D. Student | 129 | 16% |
Student > Bachelor | 70 | 8% |
Student > Master | 61 | 7% |
Student > Doctoral Student | 46 | 6% |
Other | 123 | 15% |
Unknown | 264 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 185 | 22% |
Agricultural and Biological Sciences | 75 | 9% |
Medicine and Dentistry | 58 | 7% |
Engineering | 58 | 7% |
Chemistry | 33 | 4% |
Other | 120 | 14% |
Unknown | 303 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 437. 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 27 February 2024.
All research outputs
#66,138
of 25,816,430 outputs
Outputs from Nature
#5,076
of 98,837 outputs
Outputs of similar age
#2,601
of 410,008 outputs
Outputs of similar age from Nature
#179
of 937 outputs
Altmetric has tracked 25,816,430 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 98,837 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.7. This one has done particularly well, scoring higher than 94% 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 410,008 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 937 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.