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Morphological priming during language switching: an ERP study

Overview of attention for article published in Frontiers in Human Neuroscience, December 2014
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Title
Morphological priming during language switching: an ERP study
Published in
Frontiers in Human Neuroscience, December 2014
DOI 10.3389/fnhum.2014.00995
Pubmed ID
Authors

Saskia E. Lensink, Rinus G. Verdonschot, Niels O. Schiller

Abstract

Bilingual language control (BLC) is a much-debated issue in recent literature. Some models assume BLC is achieved by various types of inhibition of the non-target language, whereas other models do not assume any inhibitory mechanisms. In an event-related potential (ERP) study involving a long-lag morphological priming paradigm, participants were required to name pictures and read aloud words in both their L1 (Dutch) and L2 (English). Switch blocks contained intervening L1 items between L2 primes and targets, whereas non-switch blocks contained only L2 stimuli. In non-switch blocks, target picture names that were morphologically related to the primes were named faster than unrelated control items. In switch blocks, faster response latencies were recorded for morphologically related targets as well, demonstrating the existence of morphological priming in the L2. However, only in non-switch blocks, ERP data showed a reduced N400 trend, possibly suggesting that participants made use of a post-lexical checking mechanism during the switch block.

X Demographics

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

Geographical breakdown

Country Count As %
United States 2 5%
Netherlands 2 5%
Italy 1 3%
Unknown 32 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 41%
Student > Master 5 14%
Professor 3 8%
Other 2 5%
Student > Doctoral Student 2 5%
Other 4 11%
Unknown 6 16%
Readers by discipline Count As %
Psychology 12 32%
Linguistics 8 22%
Arts and Humanities 2 5%
Social Sciences 2 5%
Medicine and Dentistry 1 3%
Other 2 5%
Unknown 10 27%
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 09 February 2015.
All research outputs
#15,603,309
of 25,182,110 outputs
Outputs from Frontiers in Human Neuroscience
#4,523
of 7,638 outputs
Outputs of similar age
#197,781
of 369,262 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#125
of 184 outputs
Altmetric has tracked 25,182,110 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% 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 37th percentile – i.e., 37% 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 369,262 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 184 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.