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Mendeley readers
Attention Score in Context
| Title |
Microgeographical structure in the major Neotropical malaria vector Anopheles darlingi using microsatellites and SNP markers
|
|---|---|
| Published in |
Parasites & Vectors, February 2017
|
| DOI | 10.1186/s13071-017-2014-y |
| Pubmed ID | |
| Authors |
Melina Campos, Jan E. Conn, Diego Peres Alonso, Joseph M. Vinetz, Kevin J. Emerson, Paulo Eduardo Martins Ribolla |
| Abstract |
In recent decades, throughout the Amazon Basin, landscape modification contributing to profound ecological change has proceeded at an unprecedented rate. Deforestation that accompanies human activities can significantly change aspects of anopheline biology, though this may be site-specific. Such local changes in anopheline biology could have a great impact on malaria transmission. The aim of this study was to investigate population genetics of the main malaria vector in Brazil, Anopheles darlingi, from a microgeographical perspective. Microsatellites and ddRADseq-derived single nucleotide polymorphisms (SNPs) were used to assess levels of population genetic structuring among mosquito populations from two ecologically distinctive agricultural settlements (~60 km apart) and a population from a distant (~700 km) urban setting in the western Amazon region of Brazil. Significant microgeographical population differentiation was observed among Anopheles darlingi populations via both model- and non-model-based analysis only with the SNP dataset. Microsatellites detected moderate differentiation at the greatest distances, but were unable to differentiate populations from the two agricultural settlements. Both markers showed low polymorphism levels in the most human impacted sites. At a microgeographical scale, signatures of genetic heterogeneity and population divergence were evident in Anopheles darlingi, possibly related to local environmental anthropic modification. This divergence was observed only when using high coverage SNP markers. |
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 % |
|---|---|---|
| United Kingdom | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 18% |
| Student > Master | 13 | 15% |
| Researcher | 11 | 13% |
| Student > Bachelor | 9 | 11% |
| Student > Doctoral Student | 3 | 4% |
| Other | 10 | 12% |
| Unknown | 23 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 31% |
| Biochemistry, Genetics and Molecular Biology | 14 | 17% |
| Medicine and Dentistry | 5 | 6% |
| Environmental Science | 3 | 4% |
| Immunology and Microbiology | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 24 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 15 February 2017.
All research outputs
#14,331,382
of 22,953,506 outputs
Outputs from Parasites & Vectors
#2,836
of 5,483 outputs
Outputs of similar age
#232,373
of 426,820 outputs
Outputs of similar age from Parasites & Vectors
#63
of 154 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,483 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 426,820 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.