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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Engineering the control of mosquito-borne infectious diseases
|
|---|---|
| Published in |
Genome Biology, November 2014
|
| DOI | 10.1186/s13059-014-0535-7 |
| Pubmed ID | |
| Authors |
Paolo Gabrieli, Andrea Smidler, Flaminia Catteruccia |
| Abstract |
Recent advances in genetic engineering are bringing new promise for controlling mosquito populations that transmit deadly pathogens. Here we discuss past and current efforts to engineer mosquito strains that are refractory to disease transmission or are suitable for suppressing wild disease-transmitting populations. |
X Demographics
The data shown below were collected from the profiles of 55 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 | 13 | 24% |
| United Kingdom | 6 | 11% |
| Australia | 2 | 4% |
| India | 2 | 4% |
| Colombia | 1 | 2% |
| Italy | 1 | 2% |
| Spain | 1 | 2% |
| Brazil | 1 | 2% |
| Japan | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 25 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 30 | 55% |
| Scientists | 22 | 40% |
| Science communicators (journalists, bloggers, editors) | 3 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Switzerland | 1 | <1% |
| Sri Lanka | 1 | <1% |
| Italy | 1 | <1% |
| Mexico | 1 | <1% |
| Taiwan | 1 | <1% |
| Unknown | 143 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 34 | 23% |
| Researcher | 30 | 20% |
| Student > Ph. D. Student | 27 | 18% |
| Student > Master | 15 | 10% |
| Other | 11 | 7% |
| Other | 17 | 11% |
| Unknown | 17 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 48 | 32% |
| Biochemistry, Genetics and Molecular Biology | 41 | 27% |
| Medicine and Dentistry | 9 | 6% |
| Computer Science | 4 | 3% |
| Mathematics | 4 | 3% |
| Other | 25 | 17% |
| Unknown | 20 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 53. 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 February 2021.
All research outputs
#796,318
of 25,374,917 outputs
Outputs from Genome Biology
#530
of 4,467 outputs
Outputs of similar age
#8,569
of 268,534 outputs
Outputs of similar age from Genome Biology
#10
of 105 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th 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 well, scoring higher than 88% 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 268,534 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 96% of its contemporaries.
We're also able to compare this research output to 105 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 90% of its contemporaries.