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Long‐term reevaluation of spatially explicit models as a means for adaptive wildlife management

Overview of attention for article published in Ecological Applications, March 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

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5 X users

Citations

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3 Dimensions

Readers on

mendeley
31 Mendeley
Title
Long‐term reevaluation of spatially explicit models as a means for adaptive wildlife management
Published in
Ecological Applications, March 2020
DOI 10.1002/eap.2088
Pubmed ID
Authors

Mia Maor Cohen, Hila Shamon, Amit Dolev, Alon Reichman, Shirli Bar David, David Saltz

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Master 5 16%
Student > Ph. D. Student 4 13%
Student > Bachelor 2 6%
Professor 2 6%
Other 2 6%
Unknown 10 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 42%
Environmental Science 5 16%
Unknown 13 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 February 2020.
All research outputs
#12,930,646
of 23,313,051 outputs
Outputs from Ecological Applications
#2,324
of 3,214 outputs
Outputs of similar age
#161,235
of 364,442 outputs
Outputs of similar age from Ecological Applications
#45
of 60 outputs
Altmetric has tracked 23,313,051 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,214 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one is in the 27th percentile – i.e., 27% 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 364,442 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 55% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.