↓ Skip to main content

Multi-channel acoustic recording and automated analysis of Drosophila courtship songs

Overview of attention for article published in BMC Biology, January 2013
Altmetric Badge

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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
blogs
4 blogs
twitter
16 tweeters

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
141 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Multi-channel acoustic recording and automated analysis of Drosophila courtship songs
Published in
BMC Biology, January 2013
DOI 10.1186/1741-7007-11-11
Pubmed ID
Authors

Benjamin J Arthur, Tomoko Sunayama-Morita, Philip Coen, Mala Murthy, David L Stern

Abstract

Drosophila melanogaster has served as a powerful model system for genetic studies of courtship songs. To accelerate research on the genetic and neural mechanisms underlying courtship song, we have developed a sensitive recording system to simultaneously capture the acoustic signals from 32 separate pairs of courting flies as well as software for automated segmentation of songs.

Twitter Demographics

The data shown below were collected from the profiles of 16 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 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Mexico 1 <1%
Netherlands 1 <1%
Unknown 137 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 28%
Researcher 33 23%
Student > Bachelor 18 13%
Student > Master 12 9%
Professor > Associate Professor 9 6%
Other 19 13%
Unknown 11 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 50%
Neuroscience 24 17%
Biochemistry, Genetics and Molecular Biology 15 11%
Physics and Astronomy 3 2%
Engineering 2 1%
Other 10 7%
Unknown 16 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 August 2016.
All research outputs
#636,264
of 17,809,310 outputs
Outputs from BMC Biology
#158
of 1,547 outputs
Outputs of similar age
#7,328
of 255,855 outputs
Outputs of similar age from BMC Biology
#7
of 39 outputs
Altmetric has tracked 17,809,310 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,547 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.8. 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 255,855 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 97% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.