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What Machine Learning Can Tell Us About the Role of Language Dominance in the Diagnostic Accuracy of German LITMUS Non-word and Sentence Repetition Tasks

Overview of attention for article published in Frontiers in Psychology, January 2019
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Mentioned by

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1 X user

Citations

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16 Dimensions

Readers on

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48 Mendeley
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Title
What Machine Learning Can Tell Us About the Role of Language Dominance in the Diagnostic Accuracy of German LITMUS Non-word and Sentence Repetition Tasks
Published in
Frontiers in Psychology, January 2019
DOI 10.3389/fpsyg.2018.02757
Pubmed ID
Authors

Lina Abed Ibrahim, István Fekete

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 13%
Researcher 4 8%
Student > Doctoral Student 3 6%
Student > Bachelor 3 6%
Student > Postgraduate 3 6%
Other 9 19%
Unknown 20 42%
Readers by discipline Count As %
Psychology 7 15%
Social Sciences 4 8%
Unspecified 3 6%
Linguistics 3 6%
Medicine and Dentistry 2 4%
Other 7 15%
Unknown 22 46%
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 30 January 2019.
All research outputs
#20,552,296
of 23,125,690 outputs
Outputs from Frontiers in Psychology
#24,617
of 30,563 outputs
Outputs of similar age
#370,865
of 438,016 outputs
Outputs of similar age from Frontiers in Psychology
#656
of 767 outputs
Altmetric has tracked 23,125,690 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,563 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 1st percentile – i.e., 1% 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 438,016 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 767 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.