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Developing Prognosis Tools to Identify Learning Difficulties in Children Using Machine Learning Technologies

Overview of attention for article published in Cognitive Computation, June 2010
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Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
69 Mendeley
Title
Developing Prognosis Tools to Identify Learning Difficulties in Children Using Machine Learning Technologies
Published in
Cognitive Computation, June 2010
DOI 10.1007/s12559-010-9052-5
Pubmed ID
Authors

Antonis Loizou, Yiannis Laouris

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 3%
Poland 2 3%
Cyprus 1 1%
Chile 1 1%
Germany 1 1%
Unknown 62 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 13%
Researcher 9 13%
Student > Master 8 12%
Student > Doctoral Student 4 6%
Professor 4 6%
Other 17 25%
Unknown 18 26%
Readers by discipline Count As %
Computer Science 15 22%
Psychology 11 16%
Medicine and Dentistry 5 7%
Social Sciences 5 7%
Neuroscience 3 4%
Other 10 14%
Unknown 20 29%
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 14 October 2013.
All research outputs
#7,461,241
of 22,811,321 outputs
Outputs from Cognitive Computation
#69
of 412 outputs
Outputs of similar age
#33,590
of 94,287 outputs
Outputs of similar age from Cognitive Computation
#2
of 4 outputs
Altmetric has tracked 22,811,321 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 412 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done well, scoring higher than 78% 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 94,287 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.