| Title |
Rapid detection of Escherichia coli in beverages using genetically engineered bacteriophage T7
|
|---|---|
| Published in |
AMB Express, April 2019
|
| DOI | 10.1186/s13568-019-0776-7 |
| Pubmed ID | |
| Authors |
Nicharee Wisuthiphaet, Xu Yang, Glenn M. Young, Nitin Nitin |
X Demographics
The data shown below were collected from the profiles of 11 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 Kingdom | 3 | 27% |
| Ecuador | 2 | 18% |
| United States | 2 | 18% |
| France | 2 | 18% |
| Unknown | 2 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Scientists | 4 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 22% |
| Student > Master | 15 | 19% |
| Student > Bachelor | 10 | 13% |
| Researcher | 6 | 8% |
| Student > Doctoral Student | 2 | 3% |
| Other | 4 | 5% |
| Unknown | 25 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 22% |
| Biochemistry, Genetics and Molecular Biology | 12 | 15% |
| Engineering | 4 | 5% |
| Immunology and Microbiology | 4 | 5% |
| Chemistry | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 33 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 23 October 2022.
All research outputs
#6,511,374
of 24,667,989 outputs
Outputs from AMB Express
#116
of 1,300 outputs
Outputs of similar age
#113,677
of 356,369 outputs
Outputs of similar age from AMB Express
#8
of 44 outputs
Altmetric has tracked 24,667,989 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,300 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done particularly well, scoring higher than 91% 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 356,369 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.