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Training Cognition in ADHD: Current Findings, Borrowed Concepts, and Future Directions

Overview of attention for article published in Neurotherapeutics, July 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Average Attention Score compared to outputs of the same age and source

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2 policy sources
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1 X user

Citations

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56 Dimensions

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260 Mendeley
Title
Training Cognition in ADHD: Current Findings, Borrowed Concepts, and Future Directions
Published in
Neurotherapeutics, July 2012
DOI 10.1007/s13311-012-0134-9
Pubmed ID
Authors

Kyle J. Rutledge, Wouter van den Bos, Samuel M. McClure, Julie B. Schweitzer

Abstract

With both its high prevalence and myriad of negative outcomes, Attention-Deficit/Hyperactivity Disorder (ADHD) demands a careful consideration of the efficacy of its treatment options. Although the benefits of medication have a robust empirical background, nonpharmaceutical interventions evoke particular interest, as they are often viewed more favorably by parents. This review pays special attention to the use of working memory and recent cognitive training attempts in ADHD, describing its cognitive, behavioral, and biological effects in relation to current neurological theory of the disorder. While these treatments have demonstrated positive effects on some measures, there are limitations, as studies have failed to demonstrate generalization to critical measures, such as teacher-rated classroom behaviors, and have provided limited but growing evidence of functionally significant improvements in behavior. There is also a clear lack of research on the effects of training on reward systems and self-control. These limitations may be addressed by broadening the scope and procedures of the training and incorporating research concepts from other fields of study. First, it is important to consider the developmental trajectories of brain regions in individuals with the disorder, as they may relate to the effectiveness of cognitive training. Notions from behavioral economics, including delay discounting and framing (i.e., context) manipulations that influence present orientation, also have applications in the study of cognitive training in ADHD. In considering these other domains, we may find new ways to conceptualize and enhance cognitive training in ADHD and, in turn, address current limitations of interventions that fall in this category.

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 260 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Spain 2 <1%
Portugal 1 <1%
Brazil 1 <1%
Switzerland 1 <1%
Netherlands 1 <1%
Mexico 1 <1%
Unknown 248 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 42 16%
Student > Ph. D. Student 41 16%
Student > Master 37 14%
Student > Bachelor 30 12%
Professor > Associate Professor 22 8%
Other 53 20%
Unknown 35 13%
Readers by discipline Count As %
Psychology 125 48%
Medicine and Dentistry 29 11%
Social Sciences 12 5%
Neuroscience 12 5%
Nursing and Health Professions 11 4%
Other 32 12%
Unknown 39 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 03 February 2017.
All research outputs
#5,240,751
of 25,374,917 outputs
Outputs from Neurotherapeutics
#550
of 1,307 outputs
Outputs of similar age
#34,211
of 176,747 outputs
Outputs of similar age from Neurotherapeutics
#9
of 13 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,307 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. 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 176,747 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.