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Estimating Ixodes ricinus densities on the landscape scale

Overview of attention for article published in International Journal of Health Geographics, August 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

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3 tweeters
1 Facebook page


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61 Mendeley
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Estimating Ixodes ricinus densities on the landscape scale
Published in
International Journal of Health Geographics, August 2015
DOI 10.1186/s12942-015-0015-7
Pubmed ID

Denise Boehnke, Katharina Brugger, Miriam Pfäffle, Patrick Sebastian, Stefan Norra, Trevor Petney, Rainer Oehme, Nina Littwin, Karin Lebl, Johannes Raith, Melanie Walter, Reiner Gebhardt, Franz Rubel


The study describes the estimation of the spatial distribution of questing nymphal tick densities by investigating Ixodes ricinus in Southwest Germany as an example. The production of high-resolution maps of questing tick densities is an important key to quantify the risk of tick-borne diseases. Previous I. ricinus maps were based on quantitative as well as semi-quantitative categorisations of the tick density observed at study sites with different vegetation types or indices, all compiled on local scales. Here, a quantitative approach on the landscape scale is introduced. During 2 years, 2013 and 2014, host-seeking ticks were collected each month at 25 sampling sites by flagging an area of 100 square meters. All tick stages were identified to species level to select nymphal ticks of I. ricinus, which were used to develop and calibrate Poisson regression models. The environmental variables height above sea level, temperature, relative humidity, saturation deficit and land cover classification were used as explanatory variables. The number of flagged nymphal tick densities range from zero (mountain site) to more than 1,000 nymphs/100 m(2). Calibrating the Poisson regression models with these nymphal densities results in an explained variance of 72 % and a prediction error of 110 nymphs/100 m(2) in 2013. Generally, nymphal densities (maximum 374 nymphs/100 m(2)), explained variance (46 %) and prediction error (61 nymphs/100 m(2)) were lower in 2014. The models were used to compile high-resolution maps with 0.5 km(2) grid size for the study region of the German federal state Baden-Württemberg. The accuracy of the mapped tick densities was investigated by leave-one-out cross-validation resulting in root-mean-square-errors of 227 nymphs/100 m(2) for 2013 and 104 nymphs/100 m(2) for 2014. The methodology introduced here may be applied to further tick species or extended to other study regions. Finally, the study is a first step towards the spatial estimation of tick-borne diseases in Central Europe.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Germany 1 2%
Unknown 59 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 28%
Researcher 13 21%
Student > Master 8 13%
Student > Bachelor 3 5%
Other 3 5%
Other 6 10%
Unknown 11 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 34%
Veterinary Science and Veterinary Medicine 7 11%
Medicine and Dentistry 5 8%
Environmental Science 3 5%
Immunology and Microbiology 3 5%
Other 7 11%
Unknown 15 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 June 2021.
All research outputs
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Outputs from International Journal of Health Geographics
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Outputs of similar age
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Outputs of similar age from International Journal of Health Geographics
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Altmetric has tracked 21,346,377 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 620 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one is in the 42nd percentile – i.e., 42% 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 249,732 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 54% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them