| Title |
Examining the response programming function of the Quiet Eye: Do tougher shots need a quieter eye?
|
|---|---|
| Published in |
Cognitive Processing, October 2017
|
| DOI | 10.1007/s10339-017-0841-6 |
| Pubmed ID | |
| Authors |
Rosanna Walters-Symons, Mark Wilson, Andre Klostermann, Samuel Vine |
| Abstract |
Support for the proposition that the Quiet Eye (QE) duration reflects a period of response programming (including task parameterisation) has come from research showing that an increase in task difficulty is associated with increases in QE duration. Here, we build on previous research by manipulating three elements of task difficulty that correspond with different parameters of golf-putting performance; force production, impact quality and target line. Longer QE durations were found for more complex iterations of the task and furthermore, more sensitive analyses of the QE duration suggest that the early QE proportion (prior to movement initiation) is closely related to force production and impact quality. However, these increases in QE do not seem functional in terms of supporting improved performance. Further research is needed to explore QE's relationship with performance under conditions of increased difficulty. |
X Demographics
The data shown below were collected from the profiles of 17 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 Kingdom | 9 | 53% |
| Australia | 1 | 6% |
| Canada | 1 | 6% |
| United States | 1 | 6% |
| Trinidad and Tobago | 1 | 6% |
| Unknown | 4 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 53% |
| Members of the public | 7 | 41% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 15% |
| Student > Ph. D. Student | 7 | 15% |
| Student > Bachelor | 7 | 15% |
| Lecturer | 3 | 6% |
| Researcher | 3 | 6% |
| Other | 7 | 15% |
| Unknown | 13 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 13 | 28% |
| Psychology | 11 | 23% |
| Agricultural and Biological Sciences | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 5 | 11% |
| Unknown | 13 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 11 April 2018.
All research outputs
#2,963,092
of 23,801,276 outputs
Outputs from Cognitive Processing
#49
of 343 outputs
Outputs of similar age
#56,890
of 329,565 outputs
Outputs of similar age from Cognitive Processing
#3
of 8 outputs
Altmetric has tracked 23,801,276 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 343 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done well, scoring higher than 86% of its peers.
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We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.