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Using geographically weighted regression to explore the spatially heterogeneous spread of bovine tuberculosis in England and Wales

Overview of attention for article published in Stochastic Environmental Research and Risk Assessment, October 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#18 of 239)
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
7 X users
facebook
3 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
53 Mendeley
Title
Using geographically weighted regression to explore the spatially heterogeneous spread of bovine tuberculosis in England and Wales
Published in
Stochastic Environmental Research and Risk Assessment, October 2016
DOI 10.1007/s00477-016-1320-9
Authors

Lucy A. Brunton, Neil Alexander, William Wint, Adam Ashton, Jennifer M. Broughan

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 23%
Student > Ph. D. Student 8 15%
Researcher 5 9%
Lecturer 5 9%
Student > Postgraduate 4 8%
Other 10 19%
Unknown 9 17%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 10 19%
Environmental Science 8 15%
Agricultural and Biological Sciences 7 13%
Nursing and Health Professions 4 8%
Earth and Planetary Sciences 4 8%
Other 12 23%
Unknown 8 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 13 August 2018.
All research outputs
#4,761,338
of 23,839,820 outputs
Outputs from Stochastic Environmental Research and Risk Assessment
#18
of 239 outputs
Outputs of similar age
#77,562
of 322,444 outputs
Outputs of similar age from Stochastic Environmental Research and Risk Assessment
#3
of 10 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 239 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 92% 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 322,444 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
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 7 of them.