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Identifying Determinants of Dyslexia: An Ultimate Attempt Using Machine Learning

Overview of attention for article published in Frontiers in Psychology, April 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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5 X users

Readers on

mendeley
16 Mendeley
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Title
Identifying Determinants of Dyslexia: An Ultimate Attempt Using Machine Learning
Published in
Frontiers in Psychology, April 2022
DOI 10.3389/fpsyg.2022.869352
Pubmed ID
Authors

Sietske Walda, Fred Hasselman, Anna Bosman

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 19%
Student > Master 2 13%
Researcher 1 6%
Professor > Associate Professor 1 6%
Unknown 9 56%
Readers by discipline Count As %
Psychology 4 25%
Neuroscience 2 13%
Business, Management and Accounting 1 6%
Unknown 9 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 May 2022.
All research outputs
#14,430,214
of 24,620,113 outputs
Outputs from Frontiers in Psychology
#13,640
of 33,208 outputs
Outputs of similar age
#190,733
of 434,587 outputs
Outputs of similar age from Frontiers in Psychology
#405
of 1,802 outputs
Altmetric has tracked 24,620,113 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,208 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has gotten more attention than average, scoring higher than 57% 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 434,587 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 55% of its contemporaries.
We're also able to compare this research output to 1,802 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.