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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A High-Throughput Platform to Identify Small-Molecule Inhibitors of CRISPR-Cas9
|
|---|---|
| Published in |
Cell, May 2019
|
| DOI | 10.1016/j.cell.2019.04.009 |
| Pubmed ID | |
| Authors |
Basudeb Maji, Soumyashree A. Gangopadhyay, Miseon Lee, Mengchao Shi, Peng Wu, Robert Heler, Beverly Mok, Donghyun Lim, Sachini U. Siriwardena, Bishwajit Paul, Vlado Dančík, Amedeo Vetere, Michael F. Mesleh, Luciano A. Marraffini, David R. Liu, Paul A. Clemons, Bridget K. Wagner, Amit Choudhary |
X Demographics
The data shown below were collected from the profiles of 167 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 | 53 | 32% |
| Japan | 9 | 5% |
| United Kingdom | 7 | 4% |
| India | 4 | 2% |
| Germany | 4 | 2% |
| Spain | 4 | 2% |
| France | 3 | 2% |
| Canada | 2 | 1% |
| Italy | 2 | 1% |
| Other | 16 | 10% |
| Unknown | 63 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 101 | 60% |
| Scientists | 54 | 32% |
| Science communicators (journalists, bloggers, editors) | 6 | 4% |
| Practitioners (doctors, other healthcare professionals) | 6 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 359 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 359 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 75 | 21% |
| Researcher | 68 | 19% |
| Student > Master | 32 | 9% |
| Student > Bachelor | 30 | 8% |
| Other | 18 | 5% |
| Other | 45 | 13% |
| Unknown | 91 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 110 | 31% |
| Agricultural and Biological Sciences | 54 | 15% |
| Chemistry | 49 | 14% |
| Neuroscience | 13 | 4% |
| Immunology and Microbiology | 7 | 2% |
| Other | 26 | 7% |
| Unknown | 100 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 257. 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 March 2024.
All research outputs
#145,645
of 25,784,004 outputs
Outputs from Cell
#821
of 17,277 outputs
Outputs of similar age
#2,867
of 364,565 outputs
Outputs of similar age from Cell
#23
of 165 outputs
Altmetric has tracked 25,784,004 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 17,277 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.7. This one has done particularly well, scoring higher than 95% 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 364,565 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 165 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.