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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Synergy-COPD: a systems approach for understanding and managing chronic diseases
|
|---|---|
| Published in |
Journal of Translational Medicine, November 2014
|
| DOI | 10.1186/1479-5876-12-s2-s2 |
| Pubmed ID | |
| Authors |
David Gomez-Cabrero, Magi Lluch-Ariet, Jesper Tegnér, Marta Cascante, Felip Miralles, Josep Roca |
| Abstract |
Chronic diseases (CD) are generating a dramatic societal burden worldwide that is expected to persist over the next decades. The challenges posed by the epidemics of CD have triggered a novel health paradigm with major consequences on the traditional concept of disease and with a profound impact on key aspects of healthcare systems. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 3% |
| Portugal | 1 | 1% |
| Unknown | 88 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 17% |
| Student > Master | 15 | 16% |
| Student > Bachelor | 11 | 12% |
| Researcher | 10 | 11% |
| Other | 7 | 8% |
| Other | 15 | 16% |
| Unknown | 18 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 26% |
| Biochemistry, Genetics and Molecular Biology | 8 | 9% |
| Engineering | 8 | 9% |
| Agricultural and Biological Sciences | 5 | 5% |
| Computer Science | 5 | 5% |
| Other | 20 | 22% |
| Unknown | 22 | 24% |
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 31 December 2014.
All research outputs
#15,313,289
of 22,775,504 outputs
Outputs from Journal of Translational Medicine
#2,233
of 3,984 outputs
Outputs of similar age
#214,291
of 361,904 outputs
Outputs of similar age from Journal of Translational Medicine
#60
of 115 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,984 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 31st percentile – i.e., 31% 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 361,904 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.