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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Chronic Obstructive Pulmonary Disease heterogeneity: challenges for health risk assessment, stratification and management
|
|---|---|
| Published in |
Journal of Translational Medicine, November 2014
|
| DOI | 10.1186/1479-5876-12-s2-s3 |
| Pubmed ID | |
| Authors |
Josep Roca, Claudia Vargas, Isaac Cano, Vitaly Selivanov, Esther Barreiro, Dieter Maier, Francesco Falciani, Peter Wagner, Marta Cascante, Judith Garcia-Aymerich, Susana Kalko, Igor Marin De Mas, Jesper Tegnér, Joan Escarrabill, Alvar Agustí, David Gomez-Cabrero, the Synergy-COPD consortium |
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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 4 | 4% |
| Italy | 1 | 1% |
| Unknown | 88 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 17% |
| Student > Ph. D. Student | 15 | 16% |
| Researcher | 12 | 13% |
| Student > Bachelor | 7 | 8% |
| Student > Postgraduate | 6 | 6% |
| Other | 15 | 16% |
| Unknown | 22 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 25% |
| Biochemistry, Genetics and Molecular Biology | 10 | 11% |
| Computer Science | 6 | 6% |
| Agricultural and Biological Sciences | 5 | 5% |
| Nursing and Health Professions | 4 | 4% |
| Other | 16 | 17% |
| Unknown | 29 | 31% |
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
#21,053,497
of 25,856,713 outputs
Outputs from Journal of Translational Medicine
#3,491
of 4,728 outputs
Outputs of similar age
#277,233
of 371,696 outputs
Outputs of similar age from Journal of Translational Medicine
#57
of 83 outputs
Altmetric has tracked 25,856,713 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,728 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. 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 371,696 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.