You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
The COPD Knowledge Base: enabling data analysis and computational simulation in translational COPD research
|
|---|---|
| Published in |
Journal of Translational Medicine, November 2014
|
| DOI | 10.1186/1479-5876-12-s2-s6 |
| Pubmed ID | |
| Authors |
Isaac Cano, Ákos Tényi, Christine Schueller, Martin Wolff, M Mercedes Huertas Migueláñez, David Gomez-Cabrero, Philipp Antczak, Josep Roca, Marta Cascante, Francesco Falciani, Dieter Maier |
| Abstract |
Previously we generated a chronic obstructive pulmonary disease (COPD) specific knowledge base (http://www.copdknowledgebase.eu) from clinical and experimental data, text-mining results and public databases. This knowledge base allowed the retrieval of specific molecular networks together with integrated clinical and experimental data. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
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% |
| Italy | 1 | 1% |
| Luxembourg | 1 | 1% |
| Unknown | 64 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 20% |
| Researcher | 12 | 17% |
| Student > Master | 12 | 17% |
| Professor | 6 | 9% |
| Student > Doctoral Student | 4 | 6% |
| Other | 10 | 14% |
| Unknown | 12 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 30% |
| Computer Science | 13 | 19% |
| Agricultural and Biological Sciences | 4 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Engineering | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 18 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 23 August 2018.
All research outputs
#6,410,071
of 22,774,233 outputs
Outputs from Journal of Translational Medicine
#986
of 3,984 outputs
Outputs of similar age
#89,739
of 361,891 outputs
Outputs of similar age from Journal of Translational Medicine
#32
of 115 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
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 has gotten more attention than average, scoring higher than 73% of its peers.
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 361,891 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
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 has gotten more attention than average, scoring higher than 71% of its contemporaries.