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Forecasting next season’s Ixodes ricinus nymphal density: the example of southern Germany 2018

Overview of attention for article published in Experimental and Applied Acarology, May 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 914)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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7 news outlets

Citations

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31 Dimensions

Readers on

mendeley
61 Mendeley
Title
Forecasting next season’s Ixodes ricinus nymphal density: the example of southern Germany 2018
Published in
Experimental and Applied Acarology, May 2018
DOI 10.1007/s10493-018-0267-6
Pubmed ID
Authors

Katharina Brugger, Melanie Walter, Lidia Chitimia-Dobler, Gerhard Dobler, Franz Rubel

Abstract

The castor bean tick, Ixodes ricinus (L.) (Ixodida: Ixodidae), is the principal vector of pathogens causing tick-borne encephalitis or Lyme borreliosis in Europe. It is therefore of general interest to make an estimate of the density of I. ricinus for the whole year at the beginning of the tick season. There are two necessary conditions for making a successful prediction: a long homogeneous time series of observed tick density and a clear biological relationship between environmental predictors and tick density. A 9-year time series covering the period 2009-2017 of nymphal I. ricinus flagged at monthly intervals in southern Germany has been used. With the hypothesis that I. ricinus density is triggered by the fructification of the European beech 2 years before, the mean annual temperature of the previous year, and the current mean winter temperature (December-February), a forecast of the annual nymphal tick density has been made. Therefore, a Poisson regression model was generated resulting in an explained variance of 93.4% and an error of [Formula: see text] ticks per [Formula: see text] (annual [Formula: see text] collected ticks/[Formula: see text]). An independent verification of the forecast for the year 2017 resulted in 187 predicted versus 180 observed nymphs per [Formula: see text]. For the year 2018 a relatively high number of 443 questing I. ricinus nymphs per [Formula: see text] is forecasted, i.e., a "good" tick year.

Mendeley readers

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 %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 25%
Student > Ph. D. Student 9 15%
Student > Master 8 13%
Other 4 7%
Student > Bachelor 4 7%
Other 7 11%
Unknown 14 23%
Readers by discipline Count As %
Environmental Science 11 18%
Agricultural and Biological Sciences 10 16%
Veterinary Science and Veterinary Medicine 5 8%
Immunology and Microbiology 5 8%
Medicine and Dentistry 3 5%
Other 5 8%
Unknown 22 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 54. 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 September 2018.
All research outputs
#704,324
of 23,849,058 outputs
Outputs from Experimental and Applied Acarology
#7
of 914 outputs
Outputs of similar age
#16,820
of 333,064 outputs
Outputs of similar age from Experimental and Applied Acarology
#1
of 6 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 914 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 99% 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 333,064 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 94% of its contemporaries.
We're also able to compare this research output to 6 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