| Title |
Modeling the Effects of Attentional Cueing on Meditators
|
|---|---|
| Published in |
Mindfulness, January 2016
|
| DOI | 10.1007/s12671-015-0464-x |
| Pubmed ID | |
| Authors |
Marieke K. van Vugt, Paul M. van den Hurk |
| Abstract |
Training in meditation has been shown to affect functioning of several attentional subsystems, most prominently conflict monitoring, and to some extent orienting. These previous findings described the effects of cueing and manipulating stimulus congruency on response times and accuracies. However, changes in accuracy and response times can arise from several factors. Computational process models can be used to distinguish different factors underlying changes in accuracy and response times. When decomposed by means of the drift diffusion model, a general process model of decision making that has been widely used, both the congruency and cueing effects, is subserved by a change in decision thresholds. Meditators showed a modest overall increase in their decision threshold, which may reflect an ability to wait longer and collect more information before responding. |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 25% |
| India | 1 | 8% |
| France | 1 | 8% |
| Spain | 1 | 8% |
| United Kingdom | 1 | 8% |
| Netherlands | 1 | 8% |
| Unknown | 4 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Scientists | 2 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 1% |
| Unknown | 82 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 19% |
| Student > Master | 16 | 19% |
| Professor > Associate Professor | 8 | 10% |
| Student > Doctoral Student | 7 | 8% |
| Researcher | 6 | 7% |
| Other | 17 | 20% |
| Unknown | 13 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 34 | 41% |
| Neuroscience | 9 | 11% |
| Social Sciences | 8 | 10% |
| Medicine and Dentistry | 4 | 5% |
| Nursing and Health Professions | 3 | 4% |
| Other | 6 | 7% |
| Unknown | 19 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 08 November 2016.
All research outputs
#3,295,631
of 23,510,717 outputs
Outputs from Mindfulness
#349
of 1,402 outputs
Outputs of similar age
#58,820
of 397,164 outputs
Outputs of similar age from Mindfulness
#11
of 30 outputs
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We're also able to compare this research output to 30 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 66% of its contemporaries.