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On interpretation and task selection: the sub-component hypothesis of cognitive noise effects

Overview of attention for article published in Frontiers in Psychology, January 2015
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Title
On interpretation and task selection: the sub-component hypothesis of cognitive noise effects
Published in
Frontiers in Psychology, January 2015
DOI 10.3389/fpsyg.2014.01598
Pubmed ID
Authors

Patrik Sörqvist

Abstract

It is often argued that the effects of noise on a "complex ability" (e.g., reading, writing, calculation) can be explained by the impairment noise causes to some ability (e.g., working memory) upon which the complex ability depends. Because of this, tasks that measure "sub-component abilities" (i.e., those abilities upon which complex abilities depend) are often deemed sufficient in cognitive noise studies, even when the primary interest is to understand the effects of noise as they arise in applied settings (e.g., offices and schools). This approach can be called the "sub-component hypothesis of cognitive noise effects." The present paper discusses two things that are troublesome for this approach: difficulties with interpretation and generalizability. A complete understanding of the effects of noise on complex abilities requires studying the complex ability itself. Cognitive noise researches must, therefore, employ tasks that mimic the tasks that are actually carried out in the applied setting to which the results are intended to be generalized. Tasks that measure "sub-component abilities" may be complementary, but should not be given priority in applied cognitive research.

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The data shown below were collected from the profiles of 2 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 23%
Student > Ph. D. Student 6 23%
Researcher 4 15%
Lecturer 2 8%
Student > Doctoral Student 1 4%
Other 3 12%
Unknown 4 15%
Readers by discipline Count As %
Psychology 10 38%
Engineering 2 8%
Agricultural and Biological Sciences 1 4%
Economics, Econometrics and Finance 1 4%
Computer Science 1 4%
Other 5 19%
Unknown 6 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 January 2015.
All research outputs
#18,166,192
of 23,337,345 outputs
Outputs from Frontiers in Psychology
#21,163
of 31,054 outputs
Outputs of similar age
#263,770
of 382,945 outputs
Outputs of similar age from Frontiers in Psychology
#331
of 400 outputs
Altmetric has tracked 23,337,345 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,054 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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We're also able to compare this research output to 400 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.