↓ Skip to main content

The ecology of movement and behaviour: a saturated tripartite network for describing animal contacts

Overview of attention for article published in Proceedings of the Royal Society B: Biological Sciences, September 2018
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 (90th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
45 X users

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
95 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
The ecology of movement and behaviour: a saturated tripartite network for describing animal contacts
Published in
Proceedings of the Royal Society B: Biological Sciences, September 2018
DOI 10.1098/rspb.2018.0670
Pubmed ID
Authors

Kezia Manlove, Christina Aiello, Pratha Sah, Bree Cummins, Peter J. Hudson, Paul C. Cross

Abstract

Ecologists regularly use animal contact networks to describe interactions underlying pathogen transmission, gene flow, and information transfer. However, empirical descriptions of contact often overlook some features of individual movement, and decisions about what kind of network to use in a particular setting are commonly ad hoc Here, we relate individual movement trajectories to contact networks through a tripartite network model of individual, space, and time nodes. Most networks used in animal contact studies (e.g. individual association networks, home range overlap networks, and spatial networks) are simplifications of this tripartite model. The tripartite structure can incorporate a broad suite of alternative ecological metrics like home range sizes and patch occupancy patterns into inferences about contact network metrics such as modularity and degree distribution. We demonstrate the model's utility with two simulation studies using alternative forms of ecological data to constrain the tripartite network's structure and inform expectations about the harder-to-measure metrics related to contact.

X Demographics

X Demographics

The data shown below were collected from the profiles of 45 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 33%
Researcher 22 23%
Student > Master 11 12%
Student > Bachelor 7 7%
Student > Postgraduate 4 4%
Other 4 4%
Unknown 16 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 48%
Environmental Science 12 13%
Veterinary Science and Veterinary Medicine 4 4%
Computer Science 3 3%
Unspecified 1 1%
Other 4 4%
Unknown 25 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 13 September 2019.
All research outputs
#1,550,791
of 25,385,509 outputs
Outputs from Proceedings of the Royal Society B: Biological Sciences
#3,399
of 11,335 outputs
Outputs of similar age
#32,598
of 351,548 outputs
Outputs of similar age from Proceedings of the Royal Society B: Biological Sciences
#73
of 137 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,335 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.4. This one has gotten more attention than average, scoring higher than 70% 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 351,548 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 90% of its contemporaries.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.