↓ Skip to main content

HElmet therapy Assessment in infants with Deformed Skulls (HEADS): protocol for a randomised controlled trial

Overview of attention for article published in Trials, July 2012
Altmetric Badge

Mentioned by

twitter
4 X users
facebook
2 Facebook pages

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
122 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
HElmet therapy Assessment in infants with Deformed Skulls (HEADS): protocol for a randomised controlled trial
Published in
Trials, July 2012
DOI 10.1186/1745-6215-13-108
Pubmed ID
Authors

Renske M van Wijk, Magda M Boere-Boonekamp, Catharina GM Groothuis-Oudshoorn, Leo A van Vlimmeren, Maarten J IJzerman

Abstract

In The Netherlands, helmet therapy is a commonly used treatment in infants with skull deformation (deformational plagiocephaly or deformational brachycephaly). However, evidence of the effectiveness of this treatment remains lacking. The HEADS study (HElmet therapy Assessment in Deformed Skulls) aims to determine the effects and costs of helmet therapy compared to no helmet therapy in infants with moderate to severe skull deformation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 2%
Italy 1 <1%
Unknown 119 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 14%
Student > Bachelor 13 11%
Student > Ph. D. Student 12 10%
Student > Doctoral Student 10 8%
Researcher 7 6%
Other 25 20%
Unknown 38 31%
Readers by discipline Count As %
Medicine and Dentistry 38 31%
Psychology 8 7%
Nursing and Health Professions 7 6%
Economics, Econometrics and Finance 4 3%
Engineering 3 2%
Other 18 15%
Unknown 44 36%