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Continuous cardiotocography (CTG) as a form of electronic fetal monitoring (EFM) for fetal assessment during labour

Overview of attention for article published in this source, May 2013
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Mentioned by

news
4 news outlets
blogs
2 blogs
policy
2 policy sources
twitter
24 X users
facebook
7 Facebook pages
reddit
1 Redditor

Citations

dimensions_citation
226 Dimensions

Readers on

mendeley
338 Mendeley
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Title
Continuous cardiotocography (CTG) as a form of electronic fetal monitoring (EFM) for fetal assessment during labour
Published by
John Wiley & Sons, Ltd, May 2013
DOI 10.1002/14651858.cd006066.pub2
Pubmed ID
Authors

Alfirevic, Zarko, Devane, Declan, Gyte, Gillian ML

Abstract

Cardiotocography (known also as electronic fetal monitoring), records changes in the fetal heart rate and their temporal relationship to uterine contractions. The aim is to identify babies who may be short of oxygen (hypoxic), so additional assessments of fetal well-being may be used, or the baby delivered by caesarean section or instrumental vaginal birth.

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 338 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
United States 3 <1%
Brazil 1 <1%
South Africa 1 <1%
Australia 1 <1%
Canada 1 <1%
Ethiopia 1 <1%
Spain 1 <1%
Poland 1 <1%
Other 0 0%
Unknown 325 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 62 18%
Student > Master 52 15%
Student > Ph. D. Student 41 12%
Researcher 33 10%
Student > Doctoral Student 23 7%
Other 65 19%
Unknown 62 18%
Readers by discipline Count As %
Medicine and Dentistry 155 46%
Nursing and Health Professions 39 12%
Social Sciences 19 6%
Engineering 14 4%
Psychology 6 2%
Other 33 10%
Unknown 72 21%