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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Augmented Go/No-Go Task: Mouse Cursor Motion Measures Improve ADHD Symptom Assessment in Healthy College Students
|
|---|---|
| Published in |
Frontiers in Psychology, April 2018
|
| DOI | 10.3389/fpsyg.2018.00496 |
| Pubmed ID | |
| Authors |
Anton Leontyev, Stanley Sun, Mary Wolfe, Takashi Yamauchi |
| Abstract |
Attention deficit/hyperactivity disorder (ADHD) is frequently characterized as a disorder of executive function (EF). However, behavioral tests of EF, such as go/No-go tasks, often fail to grasp the deficiency in EF revealed by questionnaire-based measures. This inability is usually attributed to questionnaires and behavioral tasks assessing different constructs of EFs. We propose an additional explanation for this discrepancy. We hypothesize that this problem stems from the lack of dynamic assessment of decision-making (e.g., continuous monitoring of motor behavior such as velocity and acceleration in choice reaching) in classical versions of behavioral tasks. We test this hypothesis by introducing dynamic assessment in the form of mouse motion in a go/No-go task. Our results indicate that, among healthy college students, self-report measures of ADHD symptoms become strongly associated with performance in behavioral tasks when continuous assessment (e.g., acceleration in the mouse-cursor motion) is introduced. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 20% |
| Student > Ph. D. Student | 12 | 19% |
| Student > Master | 10 | 16% |
| Researcher | 7 | 11% |
| Student > Postgraduate | 4 | 6% |
| Other | 6 | 9% |
| Unknown | 12 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 25 | 39% |
| Neuroscience | 4 | 6% |
| Computer Science | 4 | 6% |
| Engineering | 3 | 5% |
| Social Sciences | 3 | 5% |
| Other | 10 | 16% |
| Unknown | 15 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 26 June 2024.
All research outputs
#8,586,639
of 26,377,159 outputs
Outputs from Frontiers in Psychology
#12,237
of 35,284 outputs
Outputs of similar age
#135,287
of 347,390 outputs
Outputs of similar age from Frontiers in Psychology
#287
of 580 outputs
Altmetric has tracked 26,377,159 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 35,284 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has gotten more attention than average, scoring higher than 64% 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 347,390 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 60% of its contemporaries.
We're also able to compare this research output to 580 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.