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A dynamic threshold model for terminal investment

Overview of attention for article published in Behavioral Ecology and Sociobiology, December 2017
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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 (74th percentile)
  • Average Attention Score compared to outputs of the same age and source

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9 X users

Citations

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106 Dimensions

Readers on

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126 Mendeley
Title
A dynamic threshold model for terminal investment
Published in
Behavioral Ecology and Sociobiology, December 2017
DOI 10.1007/s00265-017-2416-z
Pubmed ID
Authors

Kristin R. Duffield, E. Keith Bowers, Scott K. Sakaluk, Ben M. Sadd

Abstract

Although reproductive strategies can be influenced by a variety of intrinsic and extrinsic factors, life history theory provides a rigorous framework for explaining variation in reproductive effort. The terminal investment hypothesis proposes that a decreased expectation of future reproduction (as might arise from a mortality threat) should precipitate increased investment in current reproduction. Terminal investment has been widely studied, and a variety of intrinsic and extrinsic cues that elicit such a response have been identified across an array of taxa. Although terminal investment is often treated as a static strategy, the level at which a cue of decreased future reproduction is sufficient to trigger increased current reproductive effort (i.e., the terminal investment threshold) may depend on context, including the internal state of the organism or its current external environment, independent of the cue that triggers a shift in reproductive investment. Here, we review empirical studies that address the terminal investment hypothesis, exploring both the intrinsic and extrinsic factors that mediate its expression. Based on these studies, we propose a novel framework within which to view the strategy of terminal investment, incorporating factors that influence an individual's residual reproductive value beyond a terminal investment trigger - the dynamic terminal investment threshold.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 126 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 19%
Student > Master 23 18%
Student > Bachelor 15 12%
Researcher 15 12%
Student > Doctoral Student 10 8%
Other 16 13%
Unknown 23 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 64 51%
Biochemistry, Genetics and Molecular Biology 7 6%
Environmental Science 7 6%
Social Sciences 3 2%
Immunology and Microbiology 2 2%
Other 10 8%
Unknown 33 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 February 2018.
All research outputs
#5,921,576
of 23,931,731 outputs
Outputs from Behavioral Ecology and Sociobiology
#969
of 3,159 outputs
Outputs of similar age
#111,313
of 444,511 outputs
Outputs of similar age from Behavioral Ecology and Sociobiology
#22
of 41 outputs
Altmetric has tracked 23,931,731 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 3,159 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has gotten more attention than average, scoring higher than 69% 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 444,511 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 74% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.