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Predicting successful vaginal birth after Cesarean section using a model based on Cesarean scar features examined by transvaginal sonography

Overview of attention for article published in Ultrasound in Obstetrics & Gynecology, May 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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1 policy source
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4 X users
facebook
1 Facebook page

Citations

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54 Dimensions

Readers on

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73 Mendeley
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Title
Predicting successful vaginal birth after Cesarean section using a model based on Cesarean scar features examined by transvaginal sonography
Published in
Ultrasound in Obstetrics & Gynecology, May 2013
DOI 10.1002/uog.12423
Pubmed ID
Authors

O. Naji, L. Wynants, A. Smith, Y. Abdallah, C. Stalder, A. Sayasneh, A. McIndoe, S. Ghaem‐Maghami, S. Van Huffel, B. Van Calster, D. Timmerman, T. Bourne

Abstract

To develop a model to predict the success of a trial of vaginal birth after Cesarean section (VBAC) based on sonographic measurements of Cesarean section (CS) scar features, demographic variables and previous obstetric history.

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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 14 19%
Student > Ph. D. Student 9 12%
Student > Master 9 12%
Researcher 7 10%
Other 7 10%
Other 14 19%
Unknown 13 18%
Readers by discipline Count As %
Medicine and Dentistry 44 60%
Computer Science 3 4%
Mathematics 2 3%
Nursing and Health Professions 2 3%
Arts and Humanities 2 3%
Other 4 5%
Unknown 16 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 10 January 2015.
All research outputs
#6,656,752
of 25,870,940 outputs
Outputs from Ultrasound in Obstetrics & Gynecology
#923
of 3,100 outputs
Outputs of similar age
#52,454
of 208,980 outputs
Outputs of similar age from Ultrasound in Obstetrics & Gynecology
#9
of 36 outputs
Altmetric has tracked 25,870,940 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,100 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 70% of its peers.
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 208,980 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.