↓ Skip to main content

A Cough Algorithm for Chronic Cough in Children: A Multicenter, Randomized Controlled Study

Overview of attention for article published in Pediatrics, May 2013
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
6 X users

Citations

dimensions_citation
97 Dimensions

Readers on

mendeley
112 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A Cough Algorithm for Chronic Cough in Children: A Multicenter, Randomized Controlled Study
Published in
Pediatrics, May 2013
DOI 10.1542/peds.2012-3318
Pubmed ID
Authors

Anne Bernadette Chang, Colin Francis Robertson, Peter Paul van Asperen, Nicholas John Glasgow, Ian Brent Masters, Laurel Teoh, Craig Michael Mellis, Louis Isaac Landau, Julie Maree Marchant, Peter Stanley Morris

Abstract

The goals of this study were to: (1) determine if management according to a standardized clinical management pathway/algorithm (compared with usual treatment) improves clinical outcomes by 6 weeks; and (2) assess the reliability and validity of a standardized clinical management pathway for chronic cough in children.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 2 2%
Malawi 2 2%
United States 1 <1%
Mexico 1 <1%
Unknown 106 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 13%
Student > Postgraduate 13 12%
Other 12 11%
Student > Doctoral Student 12 11%
Student > Master 12 11%
Other 29 26%
Unknown 20 18%
Readers by discipline Count As %
Medicine and Dentistry 66 59%
Nursing and Health Professions 8 7%
Psychology 3 3%
Immunology and Microbiology 3 3%
Philosophy 1 <1%
Other 8 7%
Unknown 23 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 26 December 2016.
All research outputs
#1,385,939
of 22,639,270 outputs
Outputs from Pediatrics
#4,145
of 16,551 outputs
Outputs of similar age
#11,927
of 192,702 outputs
Outputs of similar age from Pediatrics
#80
of 302 outputs
Altmetric has tracked 22,639,270 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,551 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 46.1. This one has gotten more attention than average, scoring higher than 74% 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 192,702 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 302 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 73% of its contemporaries.