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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pathogen detection in the CRISPR–Cas era
|
|---|---|
| Published in |
Genome Medicine, April 2018
|
| DOI | 10.1186/s13073-018-0543-4 |
| Pubmed ID | |
| Authors |
Dipali G. Sashital |
| Abstract |
CRISPR-Cas systems have provided revolutionary tools for genome editing. The discovery of Cas proteins with alternative activities has now enabled sensitive and robust tools for detecting nucleic acids. Recent reports harnessing these new CRISPR-Cas technologies display their potential for providing low-cost and practical diagnostic tools for pathogen and disease detection. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| United Kingdom | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 176 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 17% |
| Researcher | 27 | 15% |
| Student > Bachelor | 16 | 9% |
| Student > Master | 16 | 9% |
| Student > Doctoral Student | 11 | 6% |
| Other | 32 | 18% |
| Unknown | 44 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 50 | 28% |
| Agricultural and Biological Sciences | 26 | 15% |
| Engineering | 16 | 9% |
| Chemistry | 7 | 4% |
| Immunology and Microbiology | 6 | 3% |
| Other | 21 | 12% |
| Unknown | 50 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 July 2023.
All research outputs
#2,626,983
of 24,257,963 outputs
Outputs from Genome Medicine
#600
of 1,500 outputs
Outputs of similar age
#54,409
of 330,066 outputs
Outputs of similar age from Genome Medicine
#16
of 26 outputs
Altmetric has tracked 24,257,963 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,500 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one has gotten more attention than average, scoring higher than 59% 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 330,066 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.