| Title |
A comparison of different methods to handle missing data in the context of propensity score analysis
|
|---|---|
| Published in |
European Journal of Epidemiology, October 2018
|
| DOI | 10.1007/s10654-018-0447-z |
| Pubmed ID | |
| Authors |
Jungyeon Choi, Olaf M. Dekkers, Saskia le Cessie |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 27% |
| Japan | 3 | 20% |
| Finland | 2 | 13% |
| Portugal | 1 | 7% |
| Unknown | 5 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 67% |
| Scientists | 3 | 20% |
| Science communicators (journalists, bloggers, editors) | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 159 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 24% |
| Researcher | 24 | 15% |
| Student > Master | 22 | 14% |
| Other | 7 | 4% |
| Student > Bachelor | 7 | 4% |
| Other | 22 | 14% |
| Unknown | 39 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 21% |
| Social Sciences | 15 | 9% |
| Mathematics | 11 | 7% |
| Computer Science | 9 | 6% |
| Nursing and Health Professions | 8 | 5% |
| Other | 29 | 18% |
| Unknown | 53 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 08 February 2020.
All research outputs
#4,354,650
of 24,742,536 outputs
Outputs from European Journal of Epidemiology
#557
of 1,772 outputs
Outputs of similar age
#80,882
of 355,247 outputs
Outputs of similar age from European Journal of Epidemiology
#12
of 23 outputs
Altmetric has tracked 24,742,536 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,772 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has gotten more attention than average, scoring higher than 68% 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 355,247 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 77% 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 gotten more attention than average, scoring higher than 52% of its contemporaries.