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Progestogens to prevent preterm birth in twin pregnancies: an individual participant data meta-analysis of randomized trials

Overview of attention for article published in BMC Pregnancy and Childbirth, March 2012
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Title
Progestogens to prevent preterm birth in twin pregnancies: an individual participant data meta-analysis of randomized trials
Published in
BMC Pregnancy and Childbirth, March 2012
DOI 10.1186/1471-2393-12-13
Pubmed ID
Authors

Ewoud Schuit, Sarah Stock, Rolf HH Groenwold, Kimberly Maurel, C Andrew Combs, Thomas Garite, Cathy Y Spong, Elizabeth A Thom, Dwight J Rouse, Steve N Caritis, George R Saade, Julia M Zachary, Jane E Norman, Line Rode, Katharina Klein, Ann Tabor, Elçin Çetingöz, John C Morrison, Everett F Magann, Christian M Briery, Vicente Serra, Alfredo Perales, Juan Meseguer, Anwar H Nassar, Arianne C Lim, Karel GM Moons, Anneke Kwee, Ben Willem J Mol

Abstract

Preterm birth is the principal factor contributing to adverse outcomes in multiple pregnancies. Randomized controlled trials of progestogens to prevent preterm birth in twin pregnancies have shown no clear benefits. However, individual studies have not had sufficient power to evaluate potential benefits in women at particular high risk of early delivery (for example, women with a previous preterm birth or short cervix) or to determine adverse effects for rare outcomes such as intrauterine death.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 4%
Australia 1 2%
United States 1 2%
Unknown 49 92%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 15%
Student > Ph. D. Student 6 11%
Other 6 11%
Student > Postgraduate 6 11%
Researcher 4 8%
Other 15 28%
Unknown 8 15%
Readers by discipline Count As %
Medicine and Dentistry 27 51%
Agricultural and Biological Sciences 6 11%
Nursing and Health Professions 3 6%
Social Sciences 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 2 4%
Unknown 13 25%
Attention Score in Context

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 04 April 2012.
All research outputs
#20,156,138
of 22,663,969 outputs
Outputs from BMC Pregnancy and Childbirth
#3,765
of 4,150 outputs
Outputs of similar age
#141,979
of 156,786 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#22
of 23 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,150 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 1st percentile – i.e., 1% 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 156,786 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.