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X Demographics
Mendeley readers
Attention Score in Context
Title |
Prediction of outcome in twin pregnancy with first and early second trimester ultrasound
|
---|---|
Published in |
Journal of Maternal-Fetal & Neonatal Medicine, February 2013
|
DOI | 10.3109/14767058.2013.766701 |
Pubmed ID | |
Authors |
Clare O’Connor, Fionnuala M. McAuliffe, Fionnuala M. Breathnach, Michael Geary, Sean Daly, John R. Higgins, James Dornan, John J. Morrison, Gerard Burke, Shane Higgins, Eoghan Mooney, Patrick Dicker, Fiona Manning, Peter McParland, Fergal D. Malone, for the Perinatal Ireland Research Consortium |
Abstract |
To establish if first or second trimester biometry is a useful adjunct in the prediction of adverse perinatal outcome in twin pregnancy. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Denmark | 1 | 2% |
Peru | 1 | 2% |
Canada | 1 | 2% |
Unknown | 56 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 19% |
Researcher | 9 | 15% |
Student > Ph. D. Student | 9 | 15% |
Student > Bachelor | 9 | 15% |
Other | 4 | 7% |
Other | 12 | 20% |
Unknown | 5 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 38 | 64% |
Nursing and Health Professions | 5 | 8% |
Agricultural and Biological Sciences | 4 | 7% |
Biochemistry, Genetics and Molecular Biology | 2 | 3% |
Veterinary Science and Veterinary Medicine | 1 | 2% |
Other | 5 | 8% |
Unknown | 4 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 02 September 2019.
All research outputs
#7,363,939
of 25,394,764 outputs
Outputs from Journal of Maternal-Fetal & Neonatal Medicine
#554
of 3,281 outputs
Outputs of similar age
#58,304
of 205,267 outputs
Outputs of similar age from Journal of Maternal-Fetal & Neonatal Medicine
#9
of 44 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,281 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 81% 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 205,267 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 70% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.