↓ Skip to main content

SIDER: an R package for predicting trophic discrimination factors of consumers based on their ecology and phylogenetic relatedness

Overview of attention for article published in Ecography, December 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
138 X users
facebook
3 Facebook pages

Citations

dimensions_citation
77 Dimensions

Readers on

mendeley
238 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
SIDER: an R package for predicting trophic discrimination factors of consumers based on their ecology and phylogenetic relatedness
Published in
Ecography, December 2017
DOI 10.1111/ecog.03371
Authors

Kevin Healy, Thomas Guillerme, Sean B. A. Kelly, Richard Inger, Stuart Bearhop, Andrew L. Jackson

X Demographics

X Demographics

The data shown below were collected from the profiles of 138 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 238 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 238 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 21%
Researcher 39 16%
Student > Master 39 16%
Student > Bachelor 27 11%
Student > Doctoral Student 16 7%
Other 28 12%
Unknown 39 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 103 43%
Environmental Science 52 22%
Biochemistry, Genetics and Molecular Biology 5 2%
Earth and Planetary Sciences 5 2%
Engineering 4 2%
Other 14 6%
Unknown 55 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 78. 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 01 August 2018.
All research outputs
#538,865
of 25,083,571 outputs
Outputs from Ecography
#91
of 2,225 outputs
Outputs of similar age
#12,550
of 454,130 outputs
Outputs of similar age from Ecography
#1
of 51 outputs
Altmetric has tracked 25,083,571 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,225 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.9. This one has done particularly well, scoring higher than 95% 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 454,130 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.