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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Visual–motor integration performance in children with severe specific language impairment
|
|---|---|
| Published in |
Ambulatory Child Health, June 2016
|
| DOI | 10.1111/cch.12365 |
| Pubmed ID | |
| Authors |
K Nicola, P Watter |
| Abstract |
This study investigated (1) the visual-motor integration (VMI) performance of children with severe specific language impairment (SLI), and any effect of age, gender, socio-economic status and concomitant speech impairment; and (2) the relationship between language and VMI performance. It is hypothesized that children with severe SLI would present with VMI problems irrespective of gender and socio-economic status; however, VMI deficits will be more pronounced in younger children and those with concomitant speech impairment. Furthermore, it is hypothesized that there will be a relationship between VMI and language performance, particularly in receptive scores. Children enrolled between 2000 and 2008 in a school dedicated to children with severe speech-language impairments were included, if they met the criteria for severe SLI with or without concomitant speech impairment which was verified by a government organization. Results from all initial standardized language and VMI assessments found during a retrospective review of chart files were included. The final study group included 100 children (males = 76), from 4 to 14 years of age with mean language scores at least 2SD below the mean. For VMI performance, 52% of the children scored below -1SD, with 25% of the total group scoring more than 1.5SD below the mean. Age, gender and the addition of a speech impairment did not impact on VMI performance; however, children living in disadvantaged suburbs scored significantly better than children residing in advantaged suburbs. Receptive language scores of the Clinical Evaluation of Language Fundamentals was the only score associated with and able to predict VMI performance. A small subgroup of children with severe SLI will also have poor VMI skills. The best predictor of poor VMI is receptive language scores on the Clinical Evaluation of Language Fundamentals. Children with poor receptive language performance may benefit from VMI assessment and multidisciplinary management. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 20% |
| Student > Bachelor | 7 | 13% |
| Student > Ph. D. Student | 6 | 11% |
| Student > Doctoral Student | 3 | 6% |
| Student > Postgraduate | 3 | 6% |
| Other | 6 | 11% |
| Unknown | 18 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 11 | 20% |
| Medicine and Dentistry | 5 | 9% |
| Nursing and Health Professions | 5 | 9% |
| Sports and Recreations | 4 | 7% |
| Social Sciences | 3 | 6% |
| Other | 8 | 15% |
| Unknown | 18 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 13 June 2016.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Ambulatory Child Health
#1,319
of 1,578 outputs
Outputs of similar age
#283,054
of 367,761 outputs
Outputs of similar age from Ambulatory Child Health
#20
of 29 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,578 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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 367,761 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.