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Network medicine analysis of COPD multimorbidities

Overview of attention for article published in Respiratory Research, September 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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14 X users
wikipedia
1 Wikipedia page

Citations

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53 Dimensions

Readers on

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138 Mendeley
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1 CiteULike
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Title
Network medicine analysis of COPD multimorbidities
Published in
Respiratory Research, September 2014
DOI 10.1186/s12931-014-0111-4
Pubmed ID
Authors

Solène Grosdidier, Antoni Ferrer, Rosa Faner, Janet Piñero, Josep Roca, Borja Cosío, Alvar Agustí, Joaquim Gea, Ferran Sanz, Laura I Furlong

Abstract

BackgroundPatients with chronic obstructive pulmonary disease (COPD) often suffer concomitant disorders that worsen significantly their health status and vital prognosis. The pathogenic mechanisms underlying COPD multimorbidities are not completely understood, thus the exploration of potential molecular and biological linkages between COPD and their associated diseases is of great interest.MethodsWe developed a novel, unbiased, integrative network medicine approach for the analysis of the diseasome, interactome, the biological pathways and tobacco smoke exposome, which has been applied to the study of 16 prevalent COPD multimorbidities identified by clinical experts.ResultsOur analyses indicate that all COPD multimorbidities studied here are related at the molecular and biological level, sharing genes, proteins and biological pathways. By inspecting the connections of COPD with their associated diseases in more detail, we identified known biological pathways involved in COPD, such as inflammation, endothelial dysfunction or apoptosis, serving as a proof of concept of the methodology. More interestingly, we found previously overlooked biological pathways that might contribute to explain COPD multimorbidities, such as hemostasis in COPD multimorbidities other than cardiovascular disorders, and cell cycle pathway in the association of COPD with depression. Moreover, we also observed similarities between COPD multimorbidities at the pathway level, suggesting common biological mechanisms for different COPD multimorbidities. Finally, chemicals contained in the tobacco smoke target an average of 69% of the identified proteins participating in COPD multimorbidities.ConclusionsThe network medicine approach presented here allowed the identification of plausible molecular links between COPD and comorbid diseases, and showed that many of them are targets of the tobacco exposome, proposing new areas of research for understanding the molecular underpinning of COPD multimorbidities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 6 4%
United States 2 1%
France 1 <1%
Italy 1 <1%
Germany 1 <1%
Unknown 127 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 16%
Student > Ph. D. Student 19 14%
Student > Master 13 9%
Professor > Associate Professor 12 9%
Student > Bachelor 12 9%
Other 39 28%
Unknown 21 15%
Readers by discipline Count As %
Medicine and Dentistry 39 28%
Agricultural and Biological Sciences 17 12%
Biochemistry, Genetics and Molecular Biology 10 7%
Computer Science 9 7%
Nursing and Health Professions 6 4%
Other 23 17%
Unknown 34 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 18 July 2017.
All research outputs
#3,240,710
of 25,374,647 outputs
Outputs from Respiratory Research
#396
of 3,062 outputs
Outputs of similar age
#34,596
of 263,251 outputs
Outputs of similar age from Respiratory Research
#8
of 48 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,062 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 87% 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 263,251 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 86% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.