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Integrating resource defence theory with a neural nonapeptide pathway to explain territory-based mating systems

Overview of attention for article published in Frontiers in Zoology, August 2015
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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1 blog
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Citations

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Title
Integrating resource defence theory with a neural nonapeptide pathway to explain territory-based mating systems
Published in
Frontiers in Zoology, August 2015
DOI 10.1186/1742-9994-12-s1-s16
Pubmed ID
Authors

Ronald G Oldfield, Rayna M Harris, Hans A Hofmann

Abstract

The ultimate-level factors that drive the evolution of mating systems have been well studied, but an evolutionarily conserved neural mechanism involved in shaping behaviour and social organization across species has remained elusive. Here, we review studies that have investigated the role of neural arginine vasopressin (AVP), vasotocin (AVT), and their receptor V1a in mediating variation in territorial behaviour. First, we discuss how aggression and territoriality are a function of population density in an inverted-U relationship according to resource defence theory, and how territoriality influences some mating systems. Next, we find that neural AVP, AVT, and V1a expression, especially in one particular neural circuit involving the lateral septum of the forebrain, are associated with territorial behaviour in males of diverse species, most likely due to their role in enhancing social cognition. Then we review studies that examined multiple species and find that neural AVP, AVT, and V1a expression is associated with territory size in mammals and fishes. Because territoriality plays an important role in shaping mating systems in many species, we present the idea that neural AVP, AVT, and V1a expression that is selected to mediate territory size may also influence the evolution of different mating systems. Future research that interprets proximate-level neuro-molecular mechanisms in the context of ultimate-level ecological theory may provide deep insight into the brain-behaviour relationships that underlie the diversity of social organization and mating systems seen across the animal kingdom.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Germany 1 2%
Unknown 46 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 29%
Student > Bachelor 6 12%
Other 5 10%
Student > Master 5 10%
Professor > Associate Professor 4 8%
Other 7 14%
Unknown 8 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 37%
Neuroscience 5 10%
Psychology 4 8%
Environmental Science 3 6%
Biochemistry, Genetics and Molecular Biology 3 6%
Other 8 16%
Unknown 8 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 12 June 2018.
All research outputs
#4,186,753
of 25,711,194 outputs
Outputs from Frontiers in Zoology
#232
of 700 outputs
Outputs of similar age
#49,629
of 278,778 outputs
Outputs of similar age from Frontiers in Zoology
#7
of 29 outputs
Altmetric has tracked 25,711,194 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 700 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.3. This one has gotten more attention than average, scoring higher than 66% 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 278,778 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 82% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.