↓ Skip to main content

On using integral projection models to generate demographically driven predictions of species' distributions: development and validation using sparse data

Overview of attention for article published in Ecography, July 2014
Altmetric Badge

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 (82nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
12 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
192 Mendeley
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
On using integral projection models to generate demographically driven predictions of species' distributions: development and validation using sparse data
Published in
Ecography, July 2014
DOI 10.1111/ecog.00839
Authors

Cory Merow, Andrew M. Latimer, Adam M. Wilson, Sean M. McMahon, Anthony G. Rebelo, John A. Silander

Twitter Demographics

The data shown below were collected from the profiles of 12 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 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Germany 3 2%
Switzerland 3 2%
China 1 <1%
Brazil 1 <1%
Finland 1 <1%
South Africa 1 <1%
Canada 1 <1%
Spain 1 <1%
Other 5 3%
Unknown 170 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 54 28%
Student > Ph. D. Student 46 24%
Student > Master 24 13%
Student > Bachelor 15 8%
Professor > Associate Professor 13 7%
Other 40 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 111 58%
Environmental Science 59 31%
Unspecified 15 8%
Earth and Planetary Sciences 4 2%
Mathematics 1 <1%
Other 2 1%

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 10 December 2014.
All research outputs
#2,179,099
of 12,819,049 outputs
Outputs from Ecography
#614
of 1,321 outputs
Outputs of similar age
#33,803
of 192,198 outputs
Outputs of similar age from Ecography
#21
of 40 outputs
Altmetric has tracked 12,819,049 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,321 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one has gotten more attention than average, scoring higher than 53% 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 192,198 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 82% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.