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Hierarchical clustering in evaluating inflammatory upper airway phenotypes; increased symptoms in adults with allergic multimorbidity.

Overview of attention for article published in Asian Pacific journal of allergy and immunology, January 2020
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Title
Hierarchical clustering in evaluating inflammatory upper airway phenotypes; increased symptoms in adults with allergic multimorbidity.
Published in
Asian Pacific journal of allergy and immunology, January 2020
DOI 10.12932/ap-170818-0395
Pubmed ID
Authors

Tanzeela Hanif, Anu Laulajainen-Hongisto, Annika Luukkainen, Jura Numminen, Janne Kääriäinen, Jyri Myller, Livije Kalogjera, Heini Huhtala, Matti Kankainen, Risto Renkonen, Sanna Toppila-Salmi

Abstract

Inflammatory upper airway diseases cause significant morbidity. They include phenotypes with different treatment; allergic or non-allergic rhinitis (AR, nAR), and chronic rhinosinusitis with or without nasal polyps (CRSwNP, CRSsNP). In clinical practice, these phenotypes are often difficult to distinguish and may overlap. To evaluate if hierarchical clustering can be used to distinguish these phenotypes based on the presence of nasal polyps, off-seasonal allergic symptoms, and self-reported background characteristics - e.g. atopic dermatitis (AD); and to further analyse the obtained clusters. We studied a random sample of 74 CRS (chronic rhinosinusitis) patients, and a control group of 80 subjects without CRS with/without AR (tertiary hospitals, 2006-2012). All underwent interview and nasal examination, and filled a questionnaire. Variables regarding demographics, off-seasonal symptoms, and clinical findings were collected. Hierarchical clustering was performed, the obtained clusters were cross-tabulated and analysed. Four clusters were identified; 1: "Severe symptoms and CRSwNP" (n = 29), 2: "Asymptomatic AR and controls" (n = 39), 3: "Moderate symptoms and CRSsNP" (n = 36), and 4: "Symptomatic and AD" (n = 50). Cluster 1 had most sinonasal symptoms, cluster 3 had a high prevalence of facial pain. The presence of AR did not distinguish CRS groups. Of the AR subjects, 51 % belonged to cluster 4, where AR with off-seasonal airway symptoms and AD predominated. Hierarchical clustering can be used to distinguish inflammatory upper airway disease phenotypes. The AR phenotype was subdivided by the presence of AD. Adult AR+ AD patients could benefit from active clinical care of the upper airways also off-season.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 22%
Librarian 2 7%
Student > Ph. D. Student 2 7%
Student > Master 2 7%
Professor 1 4%
Other 3 11%
Unknown 11 41%
Readers by discipline Count As %
Medicine and Dentistry 9 33%
Biochemistry, Genetics and Molecular Biology 2 7%
Nursing and Health Professions 2 7%
Energy 1 4%
Computer Science 1 4%
Other 2 7%
Unknown 10 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 June 2019.
All research outputs
#15,749,194
of 25,385,509 outputs
Outputs from Asian Pacific journal of allergy and immunology
#94
of 324 outputs
Outputs of similar age
#258,699
of 473,316 outputs
Outputs of similar age from Asian Pacific journal of allergy and immunology
#5
of 17 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 324 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 70% 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 473,316 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 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.