↓ Skip to main content

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

Overview of attention for article published in Ecology, March 2020
Altmetric Badge

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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
32 tweeters

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
154 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

Twitter Demographics

The data shown below were collected from the profiles of 32 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 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 154 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 25%
Researcher 37 24%
Student > Master 26 17%
Student > Bachelor 10 6%
Professor 8 5%
Other 17 11%
Unknown 17 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 38%
Environmental Science 44 29%
Earth and Planetary Sciences 3 2%
Engineering 2 1%
Economics, Econometrics and Finance 2 1%
Other 8 5%
Unknown 36 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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
#1,239,069
of 17,525,923 outputs
Outputs from Ecology
#667
of 6,067 outputs
Outputs of similar age
#42,352
of 394,108 outputs
Outputs of similar age from Ecology
#25
of 83 outputs
Altmetric has tracked 17,525,923 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 6,067 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 89% 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 394,108 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 89% of its contemporaries.
We're also able to compare this research output to 83 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 71% of its contemporaries.