| Title |
Inverse probability weighting and doubly robust methods in correcting the effects of non-response in the reimbursed medication and self-reported turnout estimates in the ATH survey
|
|---|---|
| Published in |
BMC Public Health, November 2014
|
| DOI | 10.1186/1471-2458-14-1150 |
| Pubmed ID | |
| Authors |
Tommi Härkänen, Risto Kaikkonen, Esa Virtala, Seppo Koskinen |
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 % |
|---|---|---|
| Finland | 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Luxembourg | 1 | 3% |
| Unknown | 39 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 25% |
| Student > Doctoral Student | 5 | 13% |
| Student > Master | 5 | 13% |
| Student > Ph. D. Student | 4 | 10% |
| Other | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 12 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 28% |
| Social Sciences | 4 | 10% |
| Nursing and Health Professions | 4 | 10% |
| Mathematics | 2 | 5% |
| Computer Science | 1 | 3% |
| Other | 6 | 15% |
| Unknown | 12 | 30% |
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 26 November 2014.
All research outputs
#17,700,438
of 25,837,817 outputs
Outputs from BMC Public Health
#13,689
of 17,839 outputs
Outputs of similar age
#171,263
of 279,525 outputs
Outputs of similar age from BMC Public Health
#230
of 283 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17,839 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 15th percentile – i.e., 15% 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 279,525 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 283 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.