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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A single mutation in the GSTe2 gene allows tracking of metabolically based insecticide resistance in a major malaria vector
|
|---|---|
| Published in |
Genome Biology, February 2014
|
| DOI | 10.1186/gb-2014-15-2-r27 |
| Pubmed ID | |
| Authors |
Jacob M Riveron, Cristina Yunta, Sulaiman S Ibrahim, Rousseau Djouaka, Helen Irving, Benjamin D Menze, Hanafy M Ismail, Janet Hemingway, Hilary Ranson, Armando Albert, Charles S Wondji |
| Abstract |
Metabolic resistance to insecticides is the biggest threat to the continued effectiveness of malaria vector control. However, its underlying molecular basis, crucial for successful resistance management, remains poorly characterized. |
X Demographics
The data shown below were collected from the profiles of 24 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 | 5 | 21% |
| Spain | 4 | 17% |
| United States | 4 | 17% |
| Canada | 1 | 4% |
| Japan | 1 | 4% |
| Unknown | 9 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 67% |
| Science communicators (journalists, bloggers, editors) | 3 | 13% |
| Scientists | 3 | 13% |
| Practitioners (doctors, other healthcare professionals) | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 275 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 1% |
| Indonesia | 1 | <1% |
| United States | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 269 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 46 | 17% |
| Student > Master | 46 | 17% |
| Student > Ph. D. Student | 43 | 16% |
| Student > Bachelor | 24 | 9% |
| Student > Doctoral Student | 17 | 6% |
| Other | 51 | 19% |
| Unknown | 48 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 112 | 41% |
| Biochemistry, Genetics and Molecular Biology | 63 | 23% |
| Medicine and Dentistry | 14 | 5% |
| Immunology and Microbiology | 7 | 3% |
| Environmental Science | 5 | 2% |
| Other | 26 | 9% |
| Unknown | 48 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 136. 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 25 October 2022.
All research outputs
#303,738
of 25,373,627 outputs
Outputs from Genome Biology
#125
of 4,467 outputs
Outputs of similar age
#2,531
of 234,813 outputs
Outputs of similar age from Genome Biology
#4
of 66 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 97% 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 234,813 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 98% of its contemporaries.
We're also able to compare this research output to 66 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 93% of its contemporaries.