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Individual differences in learning speed, performance accuracy and exploratory behaviour in black-capped chickadees

Overview of attention for article published in Animal Cognition, July 2014
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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 (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

1 blog
13 tweeters


55 Dimensions

Readers on

173 Mendeley
1 CiteULike
Individual differences in learning speed, performance accuracy and exploratory behaviour in black-capped chickadees
Published in
Animal Cognition, July 2014
DOI 10.1007/s10071-014-0787-3
Pubmed ID

Lauren M. Guillette, Allison H. Hahn, Marisa Hoeschele, Ann-Marie Przyslupski, Christopher B. Sturdy


Cognitive processes are important to animals because they not only influence how animals acquire, store and recall information, but also may underpin behaviours such as deciding where to look for food, build a nest, or with whom to mate. Several recent studies have begun to examine the potential interaction between variation in cognition and variation in personality traits. One hypothesis proposed that there is a speed-accuracy trade-off in cognition ability that aligns with a fast-slow behaviour type. Here, we explicitly examined this hypothesis by testing wild-caught black-capped chickadees in a series of cognitive tasks that assessed both learning speed (the number of trials taken to learn) and accuracy (post-acquisition performance when tested with un-trained exemplars). Chickadees' exploration scores were measured in a novel environment task. We found that slow-exploring chickadees demonstrated higher accuracy during the test phase, but did not learn the initial task in fewer trials compared to fast-exploring chickadees, providing partial support for the proposed link between cognition and personality. We report positive correlations in learning speed between different phases within cognitive tasks, but not between the three cognitive tasks suggesting independence in underlying cognitive processing. We discuss different rule-based strategies that may contribute to differential performance accuracy in cognitive tasks and provide suggestions for future experimentation to examine mechanisms underlying the relationship between cognition and personality.

Twitter Demographics

The data shown below were collected from the profiles of 13 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 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 2 1%
Germany 2 1%
Austria 2 1%
Spain 2 1%
Canada 2 1%
Sweden 1 <1%
Unknown 159 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 29%
Student > Master 33 19%
Researcher 27 16%
Student > Bachelor 16 9%
Student > Doctoral Student 9 5%
Other 23 13%
Unknown 15 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 111 64%
Psychology 17 10%
Environmental Science 5 3%
Biochemistry, Genetics and Molecular Biology 3 2%
Social Sciences 2 1%
Other 6 3%
Unknown 29 17%

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 17 July 2019.
All research outputs
of 14,130,850 outputs
Outputs from Animal Cognition
of 1,032 outputs
Outputs of similar age
of 193,015 outputs
Outputs of similar age from Animal Cognition
of 28 outputs
Altmetric has tracked 14,130,850 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,032 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.9. This one has gotten more attention than average, scoring higher than 72% 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 193,015 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 90% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.