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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Systems Medicine: from molecular features and models to the clinic in COPD
|
|---|---|
| Published in |
Journal of Translational Medicine, November 2014
|
| DOI | 10.1186/1479-5876-12-s2-s4 |
| Pubmed ID | |
| Authors |
David Gomez-Cabrero, Jörg Menche, Isaac Cano, Imad Abugessaisa, Mercedes Huertas-Migueláñez, Akos Tenyi, Igor Marin de Mas, Narsis A Kiani, Francesco Marabita, Francesco Falciani, Kelly Burrowes, Dieter Maier, Peter Wagner, Vitaly Selivanov, Marta Cascante, Josep Roca, Albert-László Barabási, Jesper Tegnér |
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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 2% |
| Germany | 1 | 1% |
| France | 1 | 1% |
| Brazil | 1 | 1% |
| Italy | 1 | 1% |
| Thailand | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 79 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 23% |
| Student > Master | 14 | 16% |
| Student > Ph. D. Student | 9 | 10% |
| Professor | 8 | 9% |
| Student > Bachelor | 7 | 8% |
| Other | 15 | 17% |
| Unknown | 14 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 22% |
| Biochemistry, Genetics and Molecular Biology | 11 | 13% |
| Computer Science | 9 | 10% |
| Engineering | 7 | 8% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 18 | 21% |
| Unknown | 20 | 23% |
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 04 November 2020.
All research outputs
#18,811,512
of 23,313,051 outputs
Outputs from Journal of Translational Medicine
#3,032
of 4,115 outputs
Outputs of similar age
#265,299
of 364,879 outputs
Outputs of similar age from Journal of Translational Medicine
#81
of 115 outputs
Altmetric has tracked 23,313,051 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,115 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 17th percentile – i.e., 17% 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 364,879 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% 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 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.