| Title |
Development and validation of a model to predict the risk of exacerbations in chronic obstructive pulmonary disease
|
|---|---|
| Published in |
International Journal of Chronic Obstructive Pulmonary Disease, October 2013
|
| DOI | 10.2147/copd.s49609 |
| Pubmed ID | |
| Authors |
Loes CM Bertens, Johannes B Reitsma, Karel GM Moons, Yvonne van Mourik, Jan Willem J Lammers, Berna DL Broekhuizen, Arno W Hoes, Frans H Rutten |
| Abstract |
Prediction models for exacerbations in patients with chronic obstructive pulmonary disease (COPD) are scarce. Our aim was to develop and validate a new model to predict exacerbations in patients with COPD. |
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 % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Netherlands | 1 | 2% |
| Switzerland | 1 | 2% |
| Unknown | 59 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 21% |
| Student > Ph. D. Student | 10 | 16% |
| Student > Master | 9 | 14% |
| Student > Bachelor | 6 | 10% |
| Other | 5 | 8% |
| Other | 11 | 17% |
| Unknown | 9 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 40% |
| Economics, Econometrics and Finance | 4 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Engineering | 3 | 5% |
| Environmental Science | 3 | 5% |
| Other | 14 | 22% |
| Unknown | 11 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 January 2023.
All research outputs
#2,759,546
of 25,371,288 outputs
Outputs from International Journal of Chronic Obstructive Pulmonary Disease
#293
of 2,577 outputs
Outputs of similar age
#24,553
of 219,840 outputs
Outputs of similar age from International Journal of Chronic Obstructive Pulmonary Disease
#4
of 22 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,577 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 88% 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 219,840 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.