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Toward an Integrative Understanding of Social Behavior: New Models and New Opportunities

Overview of attention for article published in Frontiers in Behavioral Neuroscience, January 2010
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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1 news outlet
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3 X users
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3 Facebook pages

Readers on

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321 Mendeley
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3 CiteULike
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Title
Toward an Integrative Understanding of Social Behavior: New Models and New Opportunities
Published in
Frontiers in Behavioral Neuroscience, January 2010
DOI 10.3389/fnbeh.2010.00034
Pubmed ID
Authors

Daniel T. Blumstein, Luis A. Ebensperger, Loren D. Hayes, Rodrigo A. Vásquez, Todd H. Ahern, Joseph Robert Burger, Adam G. Dolezal, Andy Dosmann, Gabriela González-Mariscal, Breanna N. Harris, Emilio A. Herrera, Eileen A. Lacey, Jill Mateo, Lisa A. McGraw, Daniel Olazábal, Marilyn Ramenofsky, Dustin R. Rubenstein, Samuel A. Sakhai, Wendy Saltzman, Cristina Sainz-Borgo, Mauricio Soto-Gamboa, Monica L. Stewart, Tina W. Wey, John C. Wingfield, Larry J. Young

Abstract

Social interactions among conspecifics are a fundamental and adaptively significant component of the biology of numerous species. Such interactions give rise to group living as well as many of the complex forms of cooperation and conflict that occur within animal groups. Although previous conceptual models have focused on the ecological causes and fitness consequences of variation in social interactions, recent developments in endocrinology, neuroscience, and molecular genetics offer exciting opportunities to develop more integrated research programs that will facilitate new insights into the physiological causes and consequences of social variation. Here, we propose an integrative framework of social behavior that emphasizes relationships between ultimate-level function and proximate-level mechanism, thereby providing a foundation for exploring the full diversity of factors that underlie variation in social interactions, and ultimately sociality. In addition to identifying new model systems for the study of human psychopathologies, this framework provides a mechanistic basis for predicting how social behavior will change in response to environmental variation. We argue that the study of non-model organisms is essential for implementing this integrative model of social behavior because such species can be studied simultaneously in the lab and field, thereby allowing integration of rigorously controlled experimental manipulations with detailed observations of the ecological contexts in which interactions among conspecifics occur.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 321 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 4%
Portugal 3 <1%
Canada 2 <1%
Belgium 2 <1%
India 1 <1%
United Kingdom 1 <1%
South Africa 1 <1%
Slovenia 1 <1%
Germany 1 <1%
Other 2 <1%
Unknown 294 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 90 28%
Researcher 59 18%
Student > Master 33 10%
Student > Bachelor 22 7%
Professor 20 6%
Other 64 20%
Unknown 33 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 171 53%
Psychology 36 11%
Neuroscience 21 7%
Biochemistry, Genetics and Molecular Biology 9 3%
Environmental Science 9 3%
Other 29 9%
Unknown 46 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 23 July 2023.
All research outputs
#2,401,865
of 24,355,571 outputs
Outputs from Frontiers in Behavioral Neuroscience
#403
of 3,355 outputs
Outputs of similar age
#11,853
of 171,408 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#7
of 31 outputs
Altmetric has tracked 24,355,571 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,355 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one has done well, scoring higher than 87% 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 171,408 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 93% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.