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Sometimes noise is beneficial: stream noise informs vocal communication in the little torrent frog Amolops torrentis

Overview of attention for article published in Journal of Ethology, April 2017
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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1 news outlet
twitter
3 X users
wikipedia
1 Wikipedia page

Citations

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16 Dimensions

Readers on

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35 Mendeley
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Title
Sometimes noise is beneficial: stream noise informs vocal communication in the little torrent frog Amolops torrentis
Published in
Journal of Ethology, April 2017
DOI 10.1007/s10164-017-0515-y
Pubmed ID
Authors

Longhui Zhao, Bicheng Zhu, Jichao Wang, Steven E. Brauth, Yezhong Tang, Jianguo Cui

Abstract

Many kinds of environmental noise can interfere with acoustic communication and efficient decision making in terrestrial species. Here we identified an exception to this generalization in a streamside species, the little torrent frog (Amolops torrentis) which communicates in a stream noise environment. To determine whether stream noise can act as a cue regarding the microhabitat characteristics of senders, we performed phonotaxis experiments using stimulus pairs constructed with synthetic male calls (high or low dominant frequency) and stream noise with varied signal-to-noise ratios. We found that females prefer calls with high amplitude stream noise added compared to those with low amplitude stream noise added for both high and low dominant frequency stimulus pairs; however, stream noise itself was not attractive in the absence of calls. These results show that stream noise can function as a cue that may be used by females for enhancing the attractiveness of calls. Stream noise associates closely with rocks, topographies and vegetation and may thus provide useful microhabitat information for signal receivers, thereby acting on sexual selection. These data therefore contribute to our understanding of how the perception of mate attractiveness in heterogeneous ecological environments can evolve.

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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 29%
Researcher 6 17%
Student > Ph. D. Student 6 17%
Student > Doctoral Student 4 11%
Student > Bachelor 3 9%
Other 2 6%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 46%
Environmental Science 4 11%
Psychology 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Nursing and Health Professions 1 3%
Other 3 9%
Unknown 8 23%
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 14 November 2022.
All research outputs
#2,284,395
of 23,106,934 outputs
Outputs from Journal of Ethology
#53
of 506 outputs
Outputs of similar age
#45,042
of 310,612 outputs
Outputs of similar age from Journal of Ethology
#2
of 10 outputs
Altmetric has tracked 23,106,934 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 506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 89% 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 310,612 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 85% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.