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Learning viewpoint invariant object representations using a temporal coherence principle

Overview of attention for article published in Biological Cybernetics, July 2005
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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 (71st percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
117 Mendeley
citeulike
2 CiteULike
Title
Learning viewpoint invariant object representations using a temporal coherence principle
Published in
Biological Cybernetics, July 2005
DOI 10.1007/s00422-005-0585-8
Pubmed ID
Authors

Wolfgang Einhäuser, Jörg Hipp, Julian Eggert, Edgar Körner, Peter König

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 6 5%
United States 5 4%
Switzerland 3 3%
France 3 3%
Spain 2 2%
Italy 1 <1%
Netherlands 1 <1%
Slovakia 1 <1%
Unknown 95 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 29%
Researcher 31 26%
Student > Master 15 13%
Other 7 6%
Professor 6 5%
Other 19 16%
Unknown 5 4%
Readers by discipline Count As %
Computer Science 38 32%
Agricultural and Biological Sciences 26 22%
Neuroscience 15 13%
Psychology 13 11%
Mathematics 4 3%
Other 15 13%
Unknown 6 5%
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 20 May 2014.
All research outputs
#4,764,468
of 23,051,185 outputs
Outputs from Biological Cybernetics
#97
of 678 outputs
Outputs of similar age
#10,574
of 57,952 outputs
Outputs of similar age from Biological Cybernetics
#1
of 4 outputs
Altmetric has tracked 23,051,185 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 678 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 78% 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 57,952 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 71% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them