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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Manual Dexterity Is a Strong Predictor of Visuo-Motor Temporal Integration in Children
|
|---|---|
| Published in |
Frontiers in Psychology, June 2018
|
| DOI | 10.3389/fpsyg.2018.00948 |
| Pubmed ID | |
| Authors |
Satoshi Nobusako, Ayami Sakai, Taeko Tsujimoto, Takashi Shuto, Yuki Nishi, Daiki Asano, Emi Furukawa, Takuro Zama, Michihiro Osumi, Sotaro Shimada, Shu Morioka, Akio Nakai |
| Abstract |
Although visuo-motor temporal integration in children is suggested to be related to motor control and motor learning, its relevance is still unclear. On the other hand, visuo-motor temporal integration ability undergoes developmental changes with age. In the current correlational study, we measured manual dexterity and visuo-motor temporal integration ability in 132 children with typical development (age, 4-15 years) and investigated the relationship between the two functions. The Movement Assessment Battery for Children-2nd edition was used as an indicator of manual dexterity. The delay detection threshold (DDT) and steepness of the probability curve for delay detection, which was measured by the delayed visual feedback detection task for self-generated movement, were used as indices of the visuo-motor temporal integration ability. The results indicated significant correlations between manual dexterity/age and DDT/steepness of the probability curve for delay detection. In addition, hierarchical multiple regression analysis showed that both manual dexterity and age significantly contributed to visuo-motor temporal integration, indicating a better fit than when only age was employed as an independent variable. Importantly, there was no interaction effect between age and manual dexterity. These findings were the first to suggest that manual dexterity is a significant predictor of visuo-motor temporal integration ability in children, regardless of age. The present study validated the important relationship between visuo-motor temporal integration and manual dexterity in children. Considering the limitations of the current study, including the non-homogeneous sample, further studies are still warranted to validate the results. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 11% |
| Japan | 2 | 11% |
| Switzerland | 2 | 11% |
| United States | 1 | 6% |
| Mexico | 1 | 6% |
| Belgium | 1 | 6% |
| Unknown | 9 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 83% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 14% |
| Student > Bachelor | 7 | 14% |
| Student > Master | 5 | 10% |
| Researcher | 3 | 6% |
| Student > Postgraduate | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 18 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 9 | 18% |
| Medicine and Dentistry | 6 | 12% |
| Nursing and Health Professions | 5 | 10% |
| Neuroscience | 2 | 4% |
| Sports and Recreations | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 20 | 40% |
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 02 July 2018.
All research outputs
#3,385,512
of 25,457,297 outputs
Outputs from Frontiers in Psychology
#6,471
of 34,512 outputs
Outputs of similar age
#64,999
of 341,724 outputs
Outputs of similar age from Frontiers in Psychology
#188
of 674 outputs
Altmetric has tracked 25,457,297 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 34,512 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has done well, scoring higher than 81% 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 341,724 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 674 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 72% of its contemporaries.