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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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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

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6 Dimensions

Readers on

mendeley
70 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 70 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 64 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 23%
Student > Ph. D. Student 12 17%
Researcher 11 16%
Professor 7 10%
Professor > Associate Professor 6 9%
Other 14 20%
Unknown 4 6%
Readers by discipline Count As %
Medicine and Dentistry 17 24%
Engineering 12 17%
Computer Science 7 10%
Nursing and Health Professions 5 7%
Business, Management and Accounting 4 6%
Other 17 24%
Unknown 8 11%

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
#2,355,584
of 4,586,246 outputs
Outputs from Journal of Translational Medicine
#670
of 1,285 outputs
Outputs of similar age
#74,455
of 147,758 outputs
Outputs of similar age from Journal of Translational Medicine
#50
of 91 outputs
Altmetric has tracked 4,586,246 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,285 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 16th percentile – i.e., 16% 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 147,758 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.