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A Taxonomy Proposal for Types of Interactions of Language and Place-Value Processing in Multi-Digit Numbers

Overview of attention for article published in Frontiers in Psychology, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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Title
A Taxonomy Proposal for Types of Interactions of Language and Place-Value Processing in Multi-Digit Numbers
Published in
Frontiers in Psychology, June 2018
DOI 10.3389/fpsyg.2018.01024
Pubmed ID
Authors

Julia Bahnmueller, Hans-Christoph Nuerk, Korbinian Moeller

Abstract

Research on associations between language and number processing has seen growing interest in the last years - in particular with respect to place-value processing in multi-digit numbers. Recently, Dowker and Nuerk (2016) proposed a taxonomy of linguistic influences on number processing. However, this taxonomy does not address the generality or specificity of linguistic influences across different levels of number processing. In contrast, Nuerk et al. (2015) proposed different levels of place-value processing in multi-digit numbers. However, the authors did not specify if and how linguistic factors influence these levels of place-value processing. The present perspective aims at addressing this conceptual gap by suggesting an integrated taxonomy representing how different linguistic factors may influence different levels of place-value processing. We show that some effects of different linguistic levels have already been observed on different levels of place-value processing. Moreover, while some linguistic influences (e.g., lexical influences) have been studied for all levels of place-value processing, other influences have been studied for only one level or even none. Beyond categorizing existing research, we argue that the explicit consideration of research gaps may inspire new research paradigms complementing the picture of language influences on place-value processing. We conclude by outlining the importance of a differential approach for levels of both linguistic and number processing to evaluate linguistic obstacles and facilitators of different languages and their relevance for numerical development.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 21%
Student > Master 6 21%
Student > Ph. D. Student 5 17%
Student > Bachelor 3 10%
Professor 1 3%
Other 1 3%
Unknown 7 24%
Readers by discipline Count As %
Psychology 16 55%
Social Sciences 2 7%
Neuroscience 2 7%
Unknown 9 31%
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 08 July 2020.
All research outputs
#5,603,957
of 23,083,773 outputs
Outputs from Frontiers in Psychology
#8,068
of 30,444 outputs
Outputs of similar age
#95,976
of 328,958 outputs
Outputs of similar age from Frontiers in Psychology
#274
of 711 outputs
Altmetric has tracked 23,083,773 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 30,444 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 73% 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 328,958 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 70% of its contemporaries.
We're also able to compare this research output to 711 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 61% of its contemporaries.