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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PREDICT-CP: study protocol of implementation of comprehensive surveillance to predict outcomes for school-aged children with cerebral palsy
|
|---|---|
| Published in |
BMJ Open, July 2017
|
| DOI | 10.1136/bmjopen-2016-014950 |
| Pubmed ID | |
| Authors |
Roslyn N Boyd, Peter SW Davies, Jenny Ziviani, Stewart Trost, Lee Barber, Robert Ware, Stephen Rose, Koa Whittingham, Leanne Sakzewski, Kristie Bell, Christopher Carty, Steven Obst, Katherine Benfer, Sarah Reedman, Priya Edwards, Megan Kentish, Lisa Copeland, Kelly Weir, Camilla Davenport, Denise Brooks, Alan Coulthard, Rebecca Pelekanos, Andrea Guzzetta, Simona Fiori, Meredith Wynter, Christine Finn, Andrea Burgess, Kym Morris, John Walsh, Owen Lloyd, Jennifer A Whitty, Paul A Scuffham |
| Abstract |
Cerebral palsy (CP) remains the world's most common childhood physical disability with total annual costs of care and lost well-being of $A3.87b. The PREDICT-CP (NHMRC 1077257 Partnership Project: Comprehensive surveillance to PREDICT outcomes for school age children with CP) study will investigate the influence of brain structure, body composition, dietary intake, oropharyngeal function, habitual physical activity, musculoskeletal development (hip status, bone health) and muscle performance on motor attainment, cognition, executive function, communication, participation, quality of life and related health resource use costs. The PREDICT-CP cohort provides further follow-up at 8-12 years of two overlapping preschool-age cohorts examined from 1.5 to 5 years (NHMRC 465128 motor and brain development; NHMRC 569605 growth, nutrition and physical activity). This population-based cohort study undertakes state-wide surveillance of 245 children with CP born in Queensland (birth years 2006-2009). Children will be classified for Gross Motor Function Classification System; Manual Ability Classification System, Communication Function Classification System and Eating and Drinking Ability Classification System. Outcomes include gross motor function, musculoskeletal development (hip displacement, spasticity, muscle contracture), upper limb function, communication difficulties, oropharyngeal dysphagia, dietary intake and body composition, participation, parent-reported and child-reported quality of life and medical and allied health resource use. These detailed phenotypical data will be compared with brain macrostructure and microstructure using 3 Tesla MRI (3T MRI). Relationships between brain lesion severity and outcomes will be analysed using multilevel mixed-effects models. The PREDICT-CP protocol is a prospectively registered and ethically accepted study protocol. The study combines data at 1.5-5 then 8-12 years of direct clinical assessment to enable prediction of outcomes and healthcare needs essential for tailoring interventions (eg, rehabilitation, orthopaedic surgery and nutritional supplements) and the projected healthcare utilisation. ACTRN: 12616001488493. |
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 % |
|---|---|---|
| Australia | 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 309 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 309 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 46 | 15% |
| Researcher | 32 | 10% |
| Student > Ph. D. Student | 30 | 10% |
| Student > Bachelor | 27 | 9% |
| Student > Postgraduate | 18 | 6% |
| Other | 59 | 19% |
| Unknown | 97 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 48 | 16% |
| Nursing and Health Professions | 43 | 14% |
| Sports and Recreations | 22 | 7% |
| Psychology | 14 | 5% |
| Neuroscience | 12 | 4% |
| Other | 47 | 15% |
| Unknown | 123 | 40% |
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 27 February 2018.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from BMJ Open
#21,158
of 25,593 outputs
Outputs of similar age
#236,067
of 324,886 outputs
Outputs of similar age from BMJ Open
#555
of 661 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,593 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 14th percentile – i.e., 14% 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 324,886 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 661 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.