↓ Skip to main content

Climatic extremes improve predictions of spatial patterns of tree species

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, November 2009
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
twitter
2 tweeters

Citations

dimensions_citation
278 Dimensions

Readers on

mendeley
604 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Climatic extremes improve predictions of spatial patterns of tree species
Published in
Proceedings of the National Academy of Sciences of the United States of America, November 2009
DOI 10.1073/pnas.0901643106
Pubmed ID
Authors

Niklaus E. Zimmermann, Nigel G. Yoccoz, Thomas C. Edwards, Eliane S. Meier, Wilfried Thuiller, Antoine Guisan, Dirk R. Schmatz, Peter B. Pearman

Twitter Demographics

The data shown below were collected from the profiles of 2 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 604 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 17 3%
Switzerland 8 1%
Brazil 8 1%
France 5 <1%
Spain 4 <1%
Italy 3 <1%
Canada 3 <1%
United Kingdom 3 <1%
Germany 3 <1%
Other 19 3%
Unknown 531 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 189 31%
Student > Ph. D. Student 132 22%
Student > Master 51 8%
Student > Bachelor 37 6%
Professor 36 6%
Other 112 19%
Unknown 47 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 278 46%
Environmental Science 190 31%
Earth and Planetary Sciences 24 4%
Biochemistry, Genetics and Molecular Biology 9 1%
Computer Science 5 <1%
Other 28 5%
Unknown 70 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 July 2021.
All research outputs
#5,345,781
of 19,957,201 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#51,827
of 93,517 outputs
Outputs of similar age
#117,911
of 412,796 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#633
of 941 outputs
Altmetric has tracked 19,957,201 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 93,517 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.7. This one is in the 44th percentile – i.e., 44% 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 412,796 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 71% of its contemporaries.
We're also able to compare this research output to 941 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.