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Abstract numerical discrimination learning in rats

Overview of attention for article published in Learning & Behavior, January 2016
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  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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Title
Abstract numerical discrimination learning in rats
Published in
Learning & Behavior, January 2016
DOI 10.3758/s13420-016-0209-2
Pubmed ID
Authors

Tohru Taniuchi, Junko Sugihara, Mariko Wakashima, Makiko Kamijo

Abstract

In this study, we examined rats' discrimination learning of the numerical ordering positions of objects. In Experiments 1 and 2, five out of seven rats successfully learned to respond to the third of six identical objects in a row and showed reliable transfer of this discrimination to novel stimuli after being trained with three different training stimuli. In Experiment 3, the three rats from Experiment 2 continued to be trained to respond to the third object in an object array, which included an odd object that needed to be excluded when identifying the target third object. All three rats acquired this selective-counting task of specific stimuli, and two rats showed reliable transfer of this selective-counting performance to test sets of novel stimuli. In Experiment 4, the three rats from Experiment 3 quickly learned to respond to the third stimulus in object rows consisting of either six identical or six different objects. These results offer strong evidence for abstract numerical discrimination learning in rats.

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

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 36%
Student > Bachelor 2 18%
Student > Doctoral Student 1 9%
Student > Ph. D. Student 1 9%
Researcher 1 9%
Other 2 18%
Readers by discipline Count As %
Psychology 6 55%
Neuroscience 3 27%
Social Sciences 1 9%
Mathematics 1 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 July 2016.
All research outputs
#16,047,334
of 25,373,627 outputs
Outputs from Learning & Behavior
#323
of 904 outputs
Outputs of similar age
#221,518
of 405,483 outputs
Outputs of similar age from Learning & Behavior
#5
of 12 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 904 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has gotten more attention than average, scoring higher than 60% 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 405,483 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.