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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bayesian predictors of very poor health related quality of life and mortality in patients with COPD
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, March 2013
|
| DOI | 10.1186/1472-6947-13-34 |
| Pubmed ID | |
| Authors |
Olli-Pekka Ryynänen, Erkki J Soini, Ari Lindqvist, Maritta Kilpeläinen, Tarja Laitinen |
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 % |
|---|---|---|
| India | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 75 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 22% |
| Student > Ph. D. Student | 11 | 14% |
| Student > Bachelor | 9 | 12% |
| Student > Doctoral Student | 7 | 9% |
| Researcher | 6 | 8% |
| Other | 11 | 14% |
| Unknown | 16 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 30% |
| Nursing and Health Professions | 9 | 12% |
| Psychology | 6 | 8% |
| Engineering | 5 | 6% |
| Computer Science | 4 | 5% |
| Other | 10 | 13% |
| Unknown | 20 | 26% |
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 12 March 2013.
All research outputs
#15,265,264
of 22,699,621 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,306
of 1,980 outputs
Outputs of similar age
#122,457
of 194,751 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#37
of 44 outputs
Altmetric has tracked 22,699,621 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 1,980 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 24th percentile – i.e., 24% 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 194,751 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.