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Spatially structured statistical network models for landscape genetics

Overview of attention for article published in Ecological Monographs, February 2019
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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 (66th percentile)

Mentioned by

twitter
7 tweeters

Readers on

mendeley
46 Mendeley
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Title
Spatially structured statistical network models for landscape genetics
Published in
Ecological Monographs, February 2019
DOI 10.1002/ecm.1355
Authors

Erin E. Peterson, Ephraim M. Hanks, Mevin B. Hooten, Jay M. Ver Hoef, Marie‐Josée Fortin

Twitter Demographics

The data shown below were collected from the profiles of 7 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 30%
Researcher 10 22%
Student > Master 8 17%
Student > Bachelor 3 7%
Student > Postgraduate 3 7%
Other 8 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 59%
Environmental Science 9 20%
Biochemistry, Genetics and Molecular Biology 4 9%
Unspecified 2 4%
Mathematics 1 2%
Other 3 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 February 2019.
All research outputs
#3,311,950
of 13,376,849 outputs
Outputs from Ecological Monographs
#258
of 621 outputs
Outputs of similar age
#109,448
of 332,665 outputs
Outputs of similar age from Ecological Monographs
#12
of 16 outputs
Altmetric has tracked 13,376,849 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 621 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 58% 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 332,665 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.