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Scientist’s guide to developing explanatory statistical models using causal analysis principles

Overview of attention for article published in Ecology, March 2020
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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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
30 X users

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
249 Mendeley
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Title
Scientist’s guide to developing explanatory statistical models using causal analysis principles
Published in
Ecology, March 2020
DOI 10.1002/ecy.2962
Pubmed ID
Authors

James B. Grace, Kathryn M. Irvine

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 249 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 249 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 24%
Researcher 55 22%
Student > Master 32 13%
Student > Bachelor 16 6%
Student > Doctoral Student 11 4%
Other 29 12%
Unknown 47 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 80 32%
Environmental Science 66 27%
Engineering 6 2%
Business, Management and Accounting 3 1%
Economics, Econometrics and Finance 3 1%
Other 18 7%
Unknown 73 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 26 April 2020.
All research outputs
#1,995,515
of 25,346,731 outputs
Outputs from Ecology
#932
of 6,959 outputs
Outputs of similar age
#48,120
of 400,564 outputs
Outputs of similar age from Ecology
#30
of 98 outputs
Altmetric has tracked 25,346,731 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,959 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has done well, scoring higher than 86% 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 400,564 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 87% of its contemporaries.
We're also able to compare this research output to 98 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 70% of its contemporaries.