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Assessing the effects of variables and background selection on the capture of the tick climate niche

Overview of attention for article published in International Journal of Health Geographics, September 2013
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2 X users

Citations

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Title
Assessing the effects of variables and background selection on the capture of the tick climate niche
Published in
International Journal of Health Geographics, September 2013
DOI 10.1186/1476-072x-12-43
Pubmed ID
Authors

Agustín Estrada-Peña, Adrián Estrada-Sánchez, David Estrada-Sánchez, José de la Fuente

Abstract

Modelling the environmental niche and spatial distribution of pathogen-transmitting arthropods involves various quality and methodological concerns related to using climate data to capture the environmental niche. This study tested the potential of MODIS remotely sensed and interpolated gridded covariates to estimate the climate niche of the medically important ticks Ixodes ricinus and Hyalomma marginatum. We also assessed model inflation resulting from spatial autocorrelation (SA) and collinearity (CO) of covariates used as time series of data (monthly values of variables), principal components analysis (PCA), and a discrete Fourier transformation. Performance of the models was measured using area under the curve (AUC), autocorrelation by Moran's I, and collinearity by the variance inflation factor (VIF).

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Unknown 79 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 21%
Researcher 16 20%
Student > Bachelor 10 12%
Student > Master 10 12%
Professor 5 6%
Other 8 10%
Unknown 15 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 37%
Veterinary Science and Veterinary Medicine 11 14%
Environmental Science 6 7%
Nursing and Health Professions 3 4%
Medicine and Dentistry 3 4%
Other 9 11%
Unknown 19 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 November 2013.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from International Journal of Health Geographics
#463
of 654 outputs
Outputs of similar age
#134,747
of 215,410 outputs
Outputs of similar age from International Journal of Health Geographics
#8
of 10 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 654 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 22nd percentile – i.e., 22% 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 215,410 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.