| Title |
How CRISPR-Cas System Could Be Used to Combat Antimicrobial Resistance
|
|---|---|
| Published in |
Infection and Drug Resistance, April 2020
|
| DOI | 10.2147/idr.s247271 |
| Pubmed ID | |
| Authors |
Pourya Gholizadeh, Şükran Köse, Sounkalo Dao, Khudaverdi Ganbarov, Asghar Tanomand, Tuba Dal, Mohammad Aghazadeh, Reza Ghotaslou, Mohammad Ahangarzadeh Rezaee, Bahman Yousefi, Hossein Samadi Kafil |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 33% |
| Malaysia | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 249 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 249 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 47 | 19% |
| Researcher | 20 | 8% |
| Student > Ph. D. Student | 19 | 8% |
| Student > Master | 17 | 7% |
| Student > Doctoral Student | 8 | 3% |
| Other | 24 | 10% |
| Unknown | 114 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 64 | 26% |
| Immunology and Microbiology | 21 | 8% |
| Agricultural and Biological Sciences | 11 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 3% |
| Medicine and Dentistry | 5 | 2% |
| Other | 19 | 8% |
| Unknown | 122 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 24 August 2023.
All research outputs
#3,269,254
of 25,759,158 outputs
Outputs from Infection and Drug Resistance
#132
of 2,072 outputs
Outputs of similar age
#75,743
of 398,206 outputs
Outputs of similar age from Infection and Drug Resistance
#3
of 53 outputs
Altmetric has tracked 25,759,158 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,072 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 93% 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 398,206 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 80% of its contemporaries.
We're also able to compare this research output to 53 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 94% of its contemporaries.