↓ Skip to main content

Cochrane Database of Systematic Reviews

Acupuncture for induction of labour

Overview of attention for article published in this source, August 2013
Altmetric Badge

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
8 tweeters
facebook
2 Facebook pages
wikipedia
6 Wikipedia pages

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
169 Mendeley
Title
Acupuncture for induction of labour
Published by
John Wiley & Sons, Ltd, August 2013
DOI 10.1002/14651858.cd002962.pub3
Pubmed ID
Authors

Smith, Caroline A, Crowther, Caroline A, Grant, Suzanne J

Abstract

This is one of a series of reviews of methods of cervical ripening and labour induction using standardised methodology. The use of complementary therapies is increasing and some women look to complementary therapies during pregnancy and childbirth to be used alongside conventional medical practice. Acupuncture involves the insertion of very fine needles into specific points of the body. The limited observational studies to date suggest acupuncture for induction of labour appears safe, has no known adverse effects to the fetus, and may be effective. However, the evidence regarding the clinical effectiveness of this technique is limited.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 1%
France 1 <1%
Canada 1 <1%
Australia 1 <1%
Peru 1 <1%
Philippines 1 <1%
Unknown 162 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 37 22%
Student > Master 32 19%
Student > Ph. D. Student 17 10%
Researcher 15 9%
Student > Postgraduate 14 8%
Other 39 23%
Unknown 15 9%
Readers by discipline Count As %
Medicine and Dentistry 89 53%
Nursing and Health Professions 33 20%
Agricultural and Biological Sciences 10 6%
Social Sciences 7 4%
Psychology 6 4%
Other 7 4%
Unknown 17 10%