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Language context modulates reading route: an electrical neuroimaging study

Overview of attention for article published in Frontiers in Human Neuroscience, January 2014
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Title
Language context modulates reading route: an electrical neuroimaging study
Published in
Frontiers in Human Neuroscience, January 2014
DOI 10.3389/fnhum.2014.00083
Pubmed ID
Authors

Karin A. Buetler, Diego de León Rodríguez, Marina Laganaro, René Müri, Lucas Spierer, Jean-Marie Annoni

Abstract

The orthographic depth hypothesis (Katz and Feldman, 1983) posits that different reading routes are engaged depending on the type of grapheme/phoneme correspondence of the language being read. Shallow orthographies with consistent grapheme/phoneme correspondences favor encoding via non-lexical pathways, where each grapheme is sequentially mapped to its corresponding phoneme. In contrast, deep orthographies with inconsistent grapheme/phoneme correspondences favor lexical pathways, where phonemes are retrieved from specialized memory structures. This hypothesis, however, lacks compelling empirical support. The aim of the present study was to investigate the impact of orthographic depth on reading route selection using a within-subject design.

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

Geographical breakdown

Country Count As %
Finland 1 2%
Colombia 1 2%
France 1 2%
Unknown 63 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 18%
Student > Ph. D. Student 11 17%
Researcher 10 15%
Professor 6 9%
Student > Bachelor 4 6%
Other 11 17%
Unknown 12 18%
Readers by discipline Count As %
Linguistics 14 21%
Psychology 14 21%
Neuroscience 10 15%
Social Sciences 4 6%
Engineering 2 3%
Other 8 12%
Unknown 14 21%
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 02 December 2014.
All research outputs
#16,437,848
of 25,182,110 outputs
Outputs from Frontiers in Human Neuroscience
#5,073
of 7,638 outputs
Outputs of similar age
#194,578
of 319,175 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#83
of 125 outputs
Altmetric has tracked 25,182,110 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 7,638 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 319,175 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.