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Insulin-like growth factor-1 is associated with life-history variation across Mammalia

Overview of attention for article published in Proceedings of the Royal Society B: Biological Sciences, May 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
16 news outlets
blogs
1 blog
twitter
6 tweeters

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
75 Mendeley
citeulike
1 CiteULike
Title
Insulin-like growth factor-1 is associated with life-history variation across Mammalia
Published in
Proceedings of the Royal Society B: Biological Sciences, May 2014
DOI 10.1098/rspb.2013.2458
Pubmed ID
Authors

Eli M. Swanson, Ben Dantzer

Abstract

Despite the diversity of mammalian life histories, persistent patterns of covariation have been identified, such as the 'fast-slow' axis of life-history covariation. Smaller species generally exhibit 'faster' life histories, developing and reproducing rapidly, but dying young. Hormonal mechanisms with pleiotropic effects may mediate such broad patterns of life-history variation. Insulin-like growth factor 1 (IGF-1) is one such mechanism because heightened IGF-1 activity is related to traits associated with faster life histories, such as increased growth and reproduction, but decreased lifespan. Using comparative methods, we show that among 41 mammalian species, increased plasma IGF-1 concentrations are associated with fast life histories and altricial reproductive patterns. Interspecific path analyses show that the effects of IGF-1 on these broad patterns of life-history variation are through its direct effects on some individual life-history traits (adult body size, growth rate, basal metabolic rate) and through its indirect effects on the remaining life-history traits. Our results suggest that the role of IGF-1 as a mechanism mediating life-history variation is conserved over the evolutionary time period defining mammalian diversification, that hormone-trait linkages can evolve as a unit, and that suites of life-history traits could be adjusted in response to selection through changes in plasma IGF-1.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 1%
United Kingdom 1 1%
Romania 1 1%
Spain 1 1%
United States 1 1%
Unknown 70 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 21%
Student > Ph. D. Student 16 21%
Student > Master 13 17%
Student > Bachelor 9 12%
Professor > Associate Professor 5 7%
Other 11 15%
Unknown 5 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 65%
Environmental Science 9 12%
Biochemistry, Genetics and Molecular Biology 6 8%
Nursing and Health Professions 1 1%
Psychology 1 1%
Other 1 1%
Unknown 8 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 136. 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 October 2020.
All research outputs
#152,276
of 16,081,181 outputs
Outputs from Proceedings of the Royal Society B: Biological Sciences
#409
of 8,311 outputs
Outputs of similar age
#1,874
of 190,727 outputs
Outputs of similar age from Proceedings of the Royal Society B: Biological Sciences
#11
of 156 outputs
Altmetric has tracked 16,081,181 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,311 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.4. This one has done particularly well, scoring higher than 95% 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 190,727 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 99% of its contemporaries.
We're also able to compare this research output to 156 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.