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

Overview of attention for article published in Pediatrics, April 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
7 tweeters

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
60 Mendeley
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Title
A Cough Algorithm for Chronic Cough in Children: A Multicenter, Randomized Controlled Study
Published in
Pediatrics, April 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, Chang AB, Robertson CF, Paul van Asperen P, Glasgow NJ, Masters IB, Teoh L, Mellis CM, Landau LI, Marchant JM, Morris PS, A. B. Chang, C. F. Robertson, P. Paul van Asperen, N. J. Glasgow, I. B. Masters, L. Teoh, C. M. Mellis, L. I. Landau, J. M. Marchant, P. S. 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.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 2 3%
Malawi 2 3%
United States 1 2%
Mexico 1 2%
Unknown 54 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 15%
Student > Postgraduate 8 13%
Student > Doctoral Student 8 13%
Professor > Associate Professor 7 12%
Student > Master 7 12%
Other 21 35%
Readers by discipline Count As %
Medicine and Dentistry 49 82%
Unspecified 2 3%
Nursing and Health Professions 2 3%
Computer Science 1 2%
Business, Management and Accounting 1 2%
Other 5 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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
#494,648
of 11,342,938 outputs
Outputs from Pediatrics
#2,291
of 11,410 outputs
Outputs of similar age
#6,636
of 129,464 outputs
Outputs of similar age from Pediatrics
#3
of 38 outputs
Altmetric has tracked 11,342,938 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,410 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.4. This one has done well, scoring higher than 79% 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 129,464 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 94% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.