↓ Skip to main content

PLOS

Desert Ants Learn Vibration and Magnetic Landmarks

Overview of attention for article published in PLOS ONE, March 2012
Altmetric Badge

Mentioned by

blogs
1 blog
twitter
6 X users
googleplus
2 Google+ users
reddit
1 Redditor

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
114 Mendeley
Title
Desert Ants Learn Vibration and Magnetic Landmarks
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0033117
Pubmed ID
Authors

Cornelia Buehlmann, Bill S. Hansson, Markus Knaden

Abstract

The desert ants Cataglyphis navigate not only by path integration but also by using visual and olfactory landmarks to pinpoint the nest entrance. Here we show that Cataglyphis noda can additionally use magnetic and vibrational landmarks as nest-defining cues. The magnetic field may typically provide directional rather than positional information, and vibrational signals so far have been shown to be involved in social behavior. Thus it remains questionable if magnetic and vibration landmarks are usually provided by the ants' habitat as nest-defining cues. However, our results point to the flexibility of the ants' navigational system, which even makes use of cues that are probably most often sensed in a different context.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 3%
United States 3 3%
Brazil 1 <1%
Australia 1 <1%
China 1 <1%
United Kingdom 1 <1%
Unknown 104 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 27%
Researcher 22 19%
Student > Bachelor 19 17%
Student > Master 9 8%
Student > Doctoral Student 7 6%
Other 12 11%
Unknown 14 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 57%
Biochemistry, Genetics and Molecular Biology 8 7%
Neuroscience 5 4%
Computer Science 4 4%
Physics and Astronomy 4 4%
Other 9 8%
Unknown 19 17%