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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transovarial transmission of DENV in Aedes aegypti in the Amazon basin: a local model of xenomonitoring
|
|---|---|
| Published in |
Parasites & Vectors, May 2017
|
| DOI | 10.1186/s13071-017-2194-5 |
| Pubmed ID | |
| Authors |
Cristiano Fernandes da Costa, Ricardo Augusto dos Passos, José Bento Pereira Lima, Rosemary Aparecida Roque, Vanderson de Souza Sampaio, Thais Bonifácio Campolina, Nágila Francinete Costa Secundino, Paulo Filemon Paolucci Pimenta |
| Abstract |
Transovarial transmission of dengue virus in Aedes spp. mosquitoes is considered an important mechanism for the maintenance of the virus in nature and may be implicated in the occurrence of outbreaks and epidemics of the disease. However, there are few studies involving transovarial transmission and viral vector monitoring as a surveillance tool and control strategy. The present study evaluated transovarial transmission of dengue virus in Aedes aegypti populations as a xenomonitoring strategy in municipalities of the Amazonas state. Aedes sp. eggs (13.164) were collected, with 30% viability of third- and fourth-instar larvae. Transovarial transmission of DENV was detected in all municipalities. The transovarial infection rate (TOR) in the municipalities was 46% of the DENV positive samples. The minimum infection rate (MIR) was 17.7 in the state, varying from 11.4 to 24.1 per 1,000 larvae tested in the respective municipalities. Four DENV serotypes were identified, with DENV I and IV being present in all municipalities investigated. The number of reported dengue fever cases varied during this period. Our results suggest that transovarial transmission may be an important mechanism for the maintenance and spreading of the disease in Amazonas municipalities. Using qRT-PCR, it was possible to identify the four DENV serotypes in larval samples. The methodology used in the present study proved suitable as a DENV xenomonitoring model in immature mosquitoes, contributing to the development of systems for early detection of viral circulation and predictive models for the occurrence of outbreaks and epidemics of this disease. CAAE34025414200005015 . |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| Argentina | 1 | 14% |
| Peru | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 144 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 17% |
| Student > Bachelor | 23 | 16% |
| Student > Ph. D. Student | 20 | 14% |
| Student > Master | 18 | 13% |
| Other | 8 | 6% |
| Other | 19 | 13% |
| Unknown | 31 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 17% |
| Medicine and Dentistry | 22 | 15% |
| Biochemistry, Genetics and Molecular Biology | 16 | 11% |
| Nursing and Health Professions | 9 | 6% |
| Immunology and Microbiology | 7 | 5% |
| Other | 26 | 18% |
| Unknown | 39 | 27% |
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 30 May 2017.
All research outputs
#6,022,894
of 22,973,051 outputs
Outputs from Parasites & Vectors
#1,279
of 5,487 outputs
Outputs of similar age
#95,626
of 312,883 outputs
Outputs of similar age from Parasites & Vectors
#43
of 154 outputs
Altmetric has tracked 22,973,051 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 5,487 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 76% 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 312,883 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 69% of its contemporaries.
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 72% of its contemporaries.