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Forest fragmentation predicts local scale heterogeneity of Lyme disease risk

Overview of attention for article published in Oecologia, September 2005
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

policy
2 policy sources
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
212 Dimensions

Readers on

mendeley
332 Mendeley
citeulike
1 CiteULike
Title
Forest fragmentation predicts local scale heterogeneity of Lyme disease risk
Published in
Oecologia, September 2005
DOI 10.1007/s00442-005-0251-9
Pubmed ID
Authors

John S. Brownstein, David K. Skelly, Theodore R. Holford, Durland Fish

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 332 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 4%
United Kingdom 3 <1%
Germany 2 <1%
Brazil 2 <1%
Kenya 1 <1%
Chile 1 <1%
Italy 1 <1%
France 1 <1%
Unknown 309 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 68 20%
Student > Ph. D. Student 64 19%
Student > Master 46 14%
Student > Bachelor 32 10%
Student > Doctoral Student 21 6%
Other 59 18%
Unknown 42 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 148 45%
Environmental Science 62 19%
Medicine and Dentistry 17 5%
Earth and Planetary Sciences 13 4%
Immunology and Microbiology 7 2%
Other 36 11%
Unknown 49 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 28 March 2024.
All research outputs
#3,907,044
of 25,837,817 outputs
Outputs from Oecologia
#710
of 4,909 outputs
Outputs of similar age
#8,010
of 71,522 outputs
Outputs of similar age from Oecologia
#1
of 22 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,909 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 82% 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 71,522 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 84% of its contemporaries.
We're also able to compare this research output to 22 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.