| Title |
Clinical prediction models for bronchopulmonary dysplasia: a systematic review and external validation study
|
|---|---|
| Published in |
BMC Pediatrics, December 2013
|
| DOI | 10.1186/1471-2431-13-207 |
| Pubmed ID | |
| Authors |
Wes Onland, Thomas P Debray, Matthew M Laughon, Martijn Miedema, Filip Cools, Lisa M Askie, Jeanette M Asselin, Sandra A Calvert, Sherry E Courtney, Carlo Dani, David J Durand, Neil Marlow, Janet L Peacock, J Jane Pillow, Roger F Soll, Ulrich H Thome, Patrick Truffert, Michael D Schreiber, Patrick Van Reempts, Valentina Vendettuoli, Giovanni Vento, Anton H van Kaam, Karel G Moons, Martin Offringa |
| Abstract |
Bronchopulmonary dysplasia (BPD) is a common complication of preterm birth. Very different models using clinical parameters at an early postnatal age to predict BPD have been developed with little extensive quantitative validation. The objective of this study is to review and validate clinical prediction models for BPD. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 116 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 16% |
| Student > Master | 18 | 15% |
| Student > Doctoral Student | 13 | 11% |
| Student > Ph. D. Student | 12 | 10% |
| Other | 9 | 8% |
| Other | 29 | 25% |
| Unknown | 18 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 55 | 47% |
| Engineering | 6 | 5% |
| Nursing and Health Professions | 4 | 3% |
| Agricultural and Biological Sciences | 4 | 3% |
| Biochemistry, Genetics and Molecular Biology | 4 | 3% |
| Other | 15 | 13% |
| Unknown | 30 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 03 August 2014.
All research outputs
#13,904,244
of 22,736,112 outputs
Outputs from BMC Pediatrics
#1,745
of 2,987 outputs
Outputs of similar age
#160,635
of 286,055 outputs
Outputs of similar age from BMC Pediatrics
#25
of 45 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,987 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.