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Improving generalized regression analysis for the spatial prediction of forest communities

Overview of attention for article published in Journal of Biogeography, April 2006
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Mentioned by

f1000
1 research highlight platform

Citations

dimensions_citation
145 Dimensions

Readers on

mendeley
481 Mendeley
citeulike
2 CiteULike
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Title
Improving generalized regression analysis for the spatial prediction of forest communities
Published in
Journal of Biogeography, April 2006
DOI 10.1111/j.1365-2699.2006.01465.x
Authors

Ramona Maggini, Anthony Lehmann, Niklaus E. Zimmermann, Antoine Guisan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 481 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 10 2%
United States 10 2%
Australia 7 1%
Brazil 7 1%
Germany 5 1%
Spain 5 1%
Canada 4 <1%
Italy 3 <1%
Belgium 3 <1%
Other 18 4%
Unknown 409 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 156 32%
Student > Ph. D. Student 87 18%
Student > Master 57 12%
Student > Doctoral Student 29 6%
Other 27 6%
Other 92 19%
Unknown 33 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 244 51%
Environmental Science 129 27%
Earth and Planetary Sciences 24 5%
Social Sciences 5 1%
Biochemistry, Genetics and Molecular Biology 4 <1%
Other 22 5%
Unknown 53 11%
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 20 September 2006.
All research outputs
#17,932,284
of 26,017,215 outputs
Outputs from Journal of Biogeography
#3,056
of 3,543 outputs
Outputs of similar age
#78,162
of 88,053 outputs
Outputs of similar age from Journal of Biogeography
#27
of 28 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 8th percentile – i.e., 8% 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 88,053 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.