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Chronic hypersensitivity pneumonitis: identification of key prognostic determinants using automated CT analysis

Overview of attention for article published in BMC Pulmonary Medicine, May 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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1 blog
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3 X users

Citations

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54 Dimensions

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75 Mendeley
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Title
Chronic hypersensitivity pneumonitis: identification of key prognostic determinants using automated CT analysis
Published in
BMC Pulmonary Medicine, May 2017
DOI 10.1186/s12890-017-0418-2
Pubmed ID
Authors

Joseph Jacob, Brian J. Bartholmai, Ryoko Egashira, Anne Laure Brun, Srinivasan Rajagopalan, Ronald Karwoski, Maria Kokosi, David M. Hansell, Athol U. Wells

Abstract

Chronic hypersensitivity pneumonitis (CHP) has a variable disease course. Computer analysis of CT features was used to identify a subset of CHP patients with an outcome similar to patients with idiopathic pulmonary fibrosis (IPF). Consecutive patients with a multi-disciplinary team diagnosis of CHP (n = 116) had pulmonary function tests (FEV1, FVC, DLco, Kco, and a composite physiologic index [CPI]) and CT variables predictive of mortality evaluated by analysing visual and computer-based (CALIPER) parenchymal features: total interstitial lung disease (ILD) extent, honeycombing, reticular pattern, ground glass opacities, pulmonary vessel volume (PVV), emphysema, and traction bronchiectasis. Mean survival was compared between both CHP and IPF patients (n = 185). In CHP, visual/CALIPER measures of reticular pattern, honeycombing, visual traction bronchiectasis, and CALIPER ILD extent were predictive of mortality (p < 0 · 05) on univariate analysis. PVV was strongly predictive of mortality on univariate (p < 0 · 0001) and multivariate analysis independent of age, gender and disease severity (represented by the CPI [p < 0 · 01]). CHP patients with a PVV threshold >6 · 5% of the lung had a mean survival (35 · 3 ± 6 · 1 months; n = 20/116 [17%]) and rate of disease progression that closely matched IPF patients (38 · 4 ± 2 · 2 months; n = 185). Pulmonary vessel volume can identify CHP patients at risk of aggressive disease and a poor IPF-like prognosis.

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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 19%
Other 12 16%
Student > Ph. D. Student 10 13%
Student > Doctoral Student 5 7%
Student > Postgraduate 5 7%
Other 12 16%
Unknown 17 23%
Readers by discipline Count As %
Medicine and Dentistry 36 48%
Engineering 6 8%
Computer Science 2 3%
Agricultural and Biological Sciences 2 3%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 5 7%
Unknown 22 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 15 August 2018.
All research outputs
#3,768,085
of 22,973,051 outputs
Outputs from BMC Pulmonary Medicine
#264
of 1,943 outputs
Outputs of similar age
#67,176
of 310,951 outputs
Outputs of similar age from BMC Pulmonary Medicine
#7
of 35 outputs
Altmetric has tracked 22,973,051 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,943 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 86% 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 310,951 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 78% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.