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Predicting asthma in preschool children with asthma symptoms: study rationale and design

Overview of attention for article published in BMC Pulmonary Medicine, October 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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32 Mendeley
Title
Predicting asthma in preschool children with asthma symptoms: study rationale and design
Published in
BMC Pulmonary Medicine, October 2012
DOI 10.1186/1471-2466-12-65
Pubmed ID
Authors

Esther Hafkamp-de Groen, Hester F Lingsma, Daan Caudri, Alet Wijga, Vincent WV Jaddoe, Ewout W Steyerberg, Johan C de Jongste, Hein Raat

Abstract

In well-child care it is difficult to determine whether preschool children with asthma symptoms actually have or will develop asthma at school age. The PIAMA (Prevention and Incidence of Asthma and Mite Allergy) Risk Score has been proposed as an instrument that predicts asthma at school age, using eight easy obtainable parameters, assessed at the time of first asthma symptoms at preschool age. The aim of this study is to present the rationale and design of a study 1) to externally validate and update the PIAMA Risk Score, 2) to develop an Asthma Risk Appraisal Tool to predict asthma at school age in (specific subgroups of) preschool children with asthma symptoms and 3) to test implementation of the Asthma Risk Appraisal Tool in well-child care.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
India 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 25%
Student > Doctoral Student 4 13%
Student > Master 3 9%
Researcher 3 9%
Professor 2 6%
Other 4 13%
Unknown 8 25%
Readers by discipline Count As %
Medicine and Dentistry 12 38%
Nursing and Health Professions 2 6%
Computer Science 2 6%
Agricultural and Biological Sciences 2 6%
Social Sciences 1 3%
Other 1 3%
Unknown 12 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 29 October 2012.
All research outputs
#6,171,940
of 22,681,577 outputs
Outputs from BMC Pulmonary Medicine
#431
of 1,893 outputs
Outputs of similar age
#45,583
of 174,267 outputs
Outputs of similar age from BMC Pulmonary Medicine
#6
of 20 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,893 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 77% 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 174,267 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 73% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.