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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Tick-Pathogen Interactions and Vector Competence: Identification of Molecular Drivers for Tick-Borne Diseases
|
|---|---|
| Published in |
Frontiers in Cellular and Infection Microbiology, April 2017
|
| DOI | 10.3389/fcimb.2017.00114 |
| Pubmed ID | |
| Authors |
José de la Fuente, Sandra Antunes, Sarah Bonnet, Alejandro Cabezas-Cruz, Ana G. Domingos, Agustín Estrada-Peña, Nicholas Johnson, Katherine M. Kocan, Karen L. Mansfield, Ard M. Nijhof, Anna Papa, Nataliia Rudenko, Margarita Villar, Pilar Alberdi, Alessandra Torina, Nieves Ayllón, Marie Vancova, Maryna Golovchenko, Libor Grubhoffer, Santo Caracappa, Anthony R. Fooks, Christian Gortazar, Ryan O. M. Rego |
| Abstract |
Ticks and the pathogens they transmit constitute a growing burden for human and animal health worldwide. Vector competence is a component of vectorial capacity and depends on genetic determinants affecting the ability of a vector to transmit a pathogen. These determinants affect traits such as tick-host-pathogen and susceptibility to pathogen infection. Therefore, the elucidation of the mechanisms involved in tick-pathogen interactions that affect vector competence is essential for the identification of molecular drivers for tick-borne diseases. In this review, we provide a comprehensive overview of tick-pathogen molecular interactions for bacteria, viruses, and protozoa affecting human and animal health. Additionally, the impact of tick microbiome on these interactions was considered. Results show that different pathogens evolved similar strategies such as manipulation of the immune response to infect vectors and facilitate multiplication and transmission. Furthermore, some of these strategies may be used by pathogens to infect both tick and mammalian hosts. Identification of interactions that promote tick survival, spread, and pathogen transmission provides the opportunity to disrupt these interactions and lead to a reduction in tick burden and the prevalence of tick-borne diseases. Targeting some of the similar mechanisms used by the pathogens for infection and transmission by ticks may assist in development of preventative strategies against multiple tick-borne diseases. |
X Demographics
The data shown below were collected from the profiles of 35 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 | 6 | 17% |
| France | 3 | 9% |
| Switzerland | 3 | 9% |
| Spain | 2 | 6% |
| Australia | 1 | 3% |
| Canada | 1 | 3% |
| Norway | 1 | 3% |
| Poland | 1 | 3% |
| Unknown | 17 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 71% |
| Scientists | 8 | 23% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 495 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Unknown | 494 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 84 | 17% |
| Researcher | 75 | 15% |
| Student > Master | 60 | 12% |
| Student > Bachelor | 59 | 12% |
| Student > Doctoral Student | 33 | 7% |
| Other | 65 | 13% |
| Unknown | 119 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 116 | 23% |
| Biochemistry, Genetics and Molecular Biology | 71 | 14% |
| Veterinary Science and Veterinary Medicine | 61 | 12% |
| Immunology and Microbiology | 29 | 6% |
| Medicine and Dentistry | 26 | 5% |
| Other | 48 | 10% |
| Unknown | 144 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 June 2021.
All research outputs
#1,251,779
of 25,517,918 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#207
of 8,145 outputs
Outputs of similar age
#24,686
of 325,033 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#8
of 151 outputs
Altmetric has tracked 25,517,918 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,145 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 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 325,033 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 92% of its contemporaries.
We're also able to compare this research output to 151 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 95% of its contemporaries.