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 |
Improved curve fits to summary survival data: application to economic evaluation of health technologies
|
|---|---|
| Published in |
BMC Medical Research Methodology, October 2011
|
| DOI | 10.1186/1471-2288-11-139 |
| Pubmed ID | |
| Authors |
Martin W Hoyle, William Henley |
| Abstract |
Mean costs and quality-adjusted-life-years are central to the cost-effectiveness of health technologies. They are often calculated from time to event curves such as for overall survival and progression-free survival. Ideally, estimates should be obtained from fitting an appropriate parametric model to individual patient data. However, such data are usually not available to independent researchers. Instead, it is common to fit curves to summary Kaplan-Meier graphs, either by regression or by least squares. Here, a more accurate method of fitting survival curves to summary survival data is described. |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Spain | 2 | <1% |
| United States | 2 | <1% |
| Unknown | 203 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 16% |
| Student > Master | 31 | 15% |
| Student > Ph. D. Student | 29 | 14% |
| Student > Bachelor | 26 | 12% |
| Student > Doctoral Student | 10 | 5% |
| Other | 24 | 11% |
| Unknown | 55 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 47 | 22% |
| Pharmacology, Toxicology and Pharmaceutical Science | 34 | 16% |
| Economics, Econometrics and Finance | 17 | 8% |
| Nursing and Health Professions | 8 | 4% |
| Social Sciences | 7 | 3% |
| Other | 31 | 15% |
| Unknown | 65 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 29 March 2018.
All research outputs
#4,206,767
of 22,952,268 outputs
Outputs from BMC Medical Research Methodology
#695
of 2,026 outputs
Outputs of similar age
#23,843
of 136,753 outputs
Outputs of similar age from BMC Medical Research Methodology
#5
of 23 outputs
Altmetric has tracked 22,952,268 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,026 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 65% 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 136,753 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 81% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.