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Statistical Cluster Analysis of the British Thoracic Society Severe Refractory Asthma Registry: Clinical Outcomes and Phenotype Stability

Overview of attention for article published in PLOS ONE, July 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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1 policy source
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3 X users

Citations

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99 Dimensions

Readers on

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112 Mendeley
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Title
Statistical Cluster Analysis of the British Thoracic Society Severe Refractory Asthma Registry: Clinical Outcomes and Phenotype Stability
Published in
PLOS ONE, July 2014
DOI 10.1371/journal.pone.0102987
Pubmed ID
Authors

Chris Newby, Liam G. Heaney, Andrew Menzies-Gow, Rob M. Niven, Adel Mansur, Christine Bucknall, Rekha Chaudhuri, John Thompson, Paul Burton, Chris Brightling

Abstract

Severe refractory asthma is a heterogeneous disease. We sought to determine statistical clusters from the British Thoracic Society Severe refractory Asthma Registry and to examine cluster-specific outcomes and stability.

X Demographics

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.
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 %
United Kingdom 1 <1%
United States 1 <1%
France 1 <1%
Unknown 109 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 16%
Student > Master 15 13%
Student > Ph. D. Student 14 13%
Student > Bachelor 10 9%
Student > Postgraduate 6 5%
Other 21 19%
Unknown 28 25%
Readers by discipline Count As %
Medicine and Dentistry 45 40%
Nursing and Health Professions 7 6%
Mathematics 7 6%
Agricultural and Biological Sciences 3 3%
Computer Science 3 3%
Other 14 13%
Unknown 33 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 December 2016.
All research outputs
#5,708,288
of 22,758,963 outputs
Outputs from PLOS ONE
#69,291
of 194,194 outputs
Outputs of similar age
#53,370
of 228,866 outputs
Outputs of similar age from PLOS ONE
#1,299
of 4,794 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 194,194 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 64% 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 228,866 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 4,794 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 72% of its contemporaries.