| Title |
Age as a factor in sensory integration function in Taiwanese children
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, July 2013
|
| DOI | 10.2147/ndt.s49514 |
| Pubmed ID | |
| Authors |
Chin-Kai Lin, Huey-Min Wu, Hsin-Yi Wang, Mei-Hui Tseng, Chung-Hui Lin |
| Abstract |
Sensory integration progresses along a normal developmental sequence. However, few studies have explored how age difference affects the way sensory integration functions in Taiwanese children as they develop. Therefore, this study aims to pinpoint the role of age in sensory integration. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 4% |
| Unknown | 25 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 31% |
| Student > Doctoral Student | 3 | 12% |
| Lecturer | 2 | 8% |
| Other | 2 | 8% |
| Student > Ph. D. Student | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 7 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 7 | 27% |
| Psychology | 4 | 15% |
| Medicine and Dentistry | 3 | 12% |
| Social Sciences | 2 | 8% |
| Computer Science | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 19 September 2013.
All research outputs
#15,169,543
of 25,374,647 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,420
of 3,132 outputs
Outputs of similar age
#112,922
of 206,704 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#21
of 63 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,132 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 52% 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 206,704 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 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 61% of its contemporaries.