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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

  • Among the highest-scoring outputs from this source (#49 of 260)
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
10 X users

Citations

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24 Dimensions

Readers on

mendeley
136 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 136 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 132 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 25%
Student > Master 22 16%
Student > Ph. D. Student 16 12%
Student > Bachelor 13 10%
Student > Doctoral Student 8 6%
Other 19 14%
Unknown 24 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 32%
Environmental Science 34 25%
Computer Science 6 4%
Earth and Planetary Sciences 5 4%
Mathematics 3 2%
Other 15 11%
Unknown 30 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 16 June 2022.
All research outputs
#6,572,065
of 25,374,917 outputs
Outputs from Ecological Complexity
#49
of 260 outputs
Outputs of similar age
#117,676
of 444,889 outputs
Outputs of similar age from Ecological Complexity
#2
of 15 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 260 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done well, scoring higher than 80% 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 444,889 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 73% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.