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Predictive medicine: outcomes, challenges and opportunities in the Synergy-COPD project

Overview of attention for article published in Journal of Translational Medicine, January 2014
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Mentioned by

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1 tweeter

Citations

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6 Dimensions

Readers on

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76 Mendeley
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Title
Predictive medicine: outcomes, challenges and opportunities in the Synergy-COPD project
Published in
Journal of Translational Medicine, January 2014
DOI 10.1186/1479-5876-12-s2-s12
Pubmed ID
Authors

Felip Miralles, David Gomez-Cabrero, Magí Lluch-Ariet, Jesper Tegnér, Marta Cascante, Josep Roca

Abstract

Chronic Obstructive Pulmonary Disease (COPD) is a major challenge for healthcare. Heterogeneities in clinical manifestations and in disease progression are relevant traits in COPD with impact on patient management and prognosis. It is hypothesized that COPD heterogeneity results from the interplay of mechanisms governing three conceptually different phenomena: 1) pulmonary disease, 2) systemic effects of COPD and 3) co-morbidity clustering.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 4%
United Kingdom 1 1%
Portugal 1 1%
Italy 1 1%
Unknown 70 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 21%
Student > Ph. D. Student 13 17%
Researcher 11 14%
Professor 8 11%
Professor > Associate Professor 6 8%
Other 16 21%
Unknown 6 8%
Readers by discipline Count As %
Medicine and Dentistry 20 26%
Engineering 12 16%
Computer Science 7 9%
Nursing and Health Professions 5 7%
Biochemistry, Genetics and Molecular Biology 4 5%
Other 17 22%
Unknown 11 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 December 2014.
All research outputs
#18,968,119
of 21,321,193 outputs
Outputs from Journal of Translational Medicine
#3,055
of 3,686 outputs
Outputs of similar age
#289,521
of 345,226 outputs
Outputs of similar age from Journal of Translational Medicine
#225
of 326 outputs
Altmetric has tracked 21,321,193 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,686 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one is in the 1st percentile – i.e., 1% 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 345,226 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 326 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.