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The practice of prediction: What can ecologists learn from applied, ecology-related fields?

Overview of attention for article published in Ecological Complexity, December 2017
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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 (#21 of 178)
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
9 tweeters

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
114 Mendeley
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Title
The practice of prediction: What can ecologists learn from applied, ecology-related fields?
Published in
Ecological Complexity, December 2017
DOI 10.1016/j.ecocom.2016.12.005
Authors

Frank Pennekamp, Matthew W. Adamson, Owen L. Petchey, Jean-Christophe Poggiale, Maíra Aguiar, Bob W. Kooi, Daniel B. Botkin, Donald L. DeAngelis

Twitter Demographics

The data shown below were collected from the profiles of 9 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Luxembourg 1 <1%
Belgium 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 110 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 26%
Student > Master 16 14%
Student > Ph. D. Student 15 13%
Student > Bachelor 12 11%
Student > Doctoral Student 6 5%
Other 16 14%
Unknown 19 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 33%
Environmental Science 29 25%
Computer Science 5 4%
Earth and Planetary Sciences 5 4%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 11 10%
Unknown 22 19%

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 25 May 2018.
All research outputs
#2,475,113
of 13,572,611 outputs
Outputs from Ecological Complexity
#21
of 178 outputs
Outputs of similar age
#88,293
of 373,218 outputs
Outputs of similar age from Ecological Complexity
#1
of 5 outputs
Altmetric has tracked 13,572,611 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 178 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 88% 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 373,218 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 76% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them