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Personalizing and targeting therapy for COPD – the role of molecular and clinical biomarkers

Overview of attention for article published in Expert Review of Respiratory Medicine, January 2014
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Mentioned by

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2 X users
facebook
2 Facebook pages

Citations

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12 Dimensions

Readers on

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34 Mendeley
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Title
Personalizing and targeting therapy for COPD – the role of molecular and clinical biomarkers
Published in
Expert Review of Respiratory Medicine, January 2014
DOI 10.1586/17476348.2013.842468
Pubmed ID
Authors

Felicia Goh, Janet G Shaw, Santiyagu M Savarimuthu Francis, Annalicia Vaughan, Leanne Morrison, Vandana Relan, Henry M Marshall, Annette G Dent, Phoebe E O’Hare, Amy Hsiao, Rayleen V Bowman, Kwun M Fong, Ian A Yang

Abstract

Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease characterized by persistent airflow limitation. It is the third leading cause of death worldwide, and there are currently no curative strategies for this disease. Many factors contribute to COPD susceptibility, progression and exacerbations. These include cigarette smoking, environmental and occupational pollutants, respiratory infections and comorbidities. As the clinical phenotypes of COPD are so variable, it has been difficult to devise an individualized treatment plan for patients with this complex chronic disease. This review will highlight how potential clinical, inflammatory, genomic and epigenomic biomarkers for COPD could be used to personalize treatment, leading to improved disease management and prevention for our patients.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 26%
Student > Master 5 15%
Student > Bachelor 5 15%
Student > Ph. D. Student 4 12%
Other 3 9%
Other 6 18%
Unknown 2 6%
Readers by discipline Count As %
Medicine and Dentistry 14 41%
Biochemistry, Genetics and Molecular Biology 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 3 9%
Sports and Recreations 3 9%
Computer Science 2 6%
Other 5 15%
Unknown 4 12%
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 09 July 2014.
All research outputs
#14,764,029
of 22,727,570 outputs
Outputs from Expert Review of Respiratory Medicine
#414
of 766 outputs
Outputs of similar age
#182,406
of 304,743 outputs
Outputs of similar age from Expert Review of Respiratory Medicine
#94
of 143 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 766 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 304,743 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 143 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.