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A latent process model approach to improve the utility of indicator species

Overview of attention for article published in Oikos, October 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
13 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
26 Mendeley
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Title
A latent process model approach to improve the utility of indicator species
Published in
Oikos, October 2020
DOI 10.1111/oik.07334
Authors

Jill Fleming, Chris Sutherland, Sean C. Sterrett, Evan H. Campbell Grant

Twitter Demographics

The data shown below were collected from the profiles of 13 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Professor > Associate Professor 4 15%
Student > Master 3 12%
Other 2 8%
Student > Bachelor 2 8%
Other 4 15%
Unknown 6 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 38%
Environmental Science 4 15%
Business, Management and Accounting 1 4%
Unspecified 1 4%
Computer Science 1 4%
Other 1 4%
Unknown 8 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 October 2020.
All research outputs
#3,013,030
of 19,047,010 outputs
Outputs from Oikos
#717
of 2,723 outputs
Outputs of similar age
#74,190
of 323,824 outputs
Outputs of similar age from Oikos
#20
of 42 outputs
Altmetric has tracked 19,047,010 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,723 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 73% 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 323,824 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 77% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.