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dynamicSDM: An R package for species geographical distribution and abundance modelling at high spatiotemporal resolution

Overview of attention for article published in Methods in Ecology and Evolution, March 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#37 of 2,467)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
248 X users
peer_reviews
1 peer review site
facebook
1 Facebook page

Readers on

mendeley
83 Mendeley
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Title
dynamicSDM: An R package for species geographical distribution and abundance modelling at high spatiotemporal resolution
Published in
Methods in Ecology and Evolution, March 2023
DOI 10.1111/2041-210x.14101
Authors

Rachel Dobson, Andy J. Challinor, Robert A. Cheke, Stewart Jennings, Stephen G. Willis, Martin Dallimer

X Demographics

X Demographics

The data shown below were collected from the profiles of 248 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 24%
Student > Ph. D. Student 12 14%
Lecturer 5 6%
Professor > Associate Professor 5 6%
Student > Master 5 6%
Other 12 14%
Unknown 24 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 35%
Environmental Science 16 19%
Engineering 3 4%
Earth and Planetary Sciences 2 2%
Business, Management and Accounting 1 1%
Other 4 5%
Unknown 28 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 150. 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 25 November 2023.
All research outputs
#279,836
of 25,789,020 outputs
Outputs from Methods in Ecology and Evolution
#37
of 2,467 outputs
Outputs of similar age
#6,674
of 424,862 outputs
Outputs of similar age from Methods in Ecology and Evolution
#2
of 53 outputs
Altmetric has tracked 25,789,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.1. This one has done particularly well, scoring higher than 98% 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 424,862 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 98% of its contemporaries.
We're also able to compare this research output to 53 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 96% of its contemporaries.