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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Adaptive list sequential sampling method for population-based observational studies
|
|---|---|
| Published in |
BMC Medical Research Methodology, June 2014
|
| DOI | 10.1186/1471-2288-14-81 |
| Pubmed ID | |
| Authors |
Michel H Hof, Anita CJ Ravelli, Aeilko H Zwinderman |
| Abstract |
In population-based observational studies, non-participation and delayed response to the invitation to participate are complications that often arise during the recruitment of a sample. When both are not properly dealt with, the composition of the sample can be different from the desired composition. Inviting too many individuals or too few individuals from a particular subgroup could lead to unnecessary costs or decreased precision. Another problem is that there is frequently no or only partial information available about the willingness to participate. In this situation, we cannot adjust the recruitment procedure for non-participation before the recruitment period starts. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 38% |
| Student > Ph. D. Student | 2 | 25% |
| Researcher | 1 | 13% |
| Unknown | 2 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 1 | 13% |
| Nursing and Health Professions | 1 | 13% |
| Computer Science | 1 | 13% |
| Social Sciences | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 3 | 38% |
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 July 2014.
All research outputs
#17,723,634
of 22,758,963 outputs
Outputs from BMC Medical Research Methodology
#1,673
of 2,009 outputs
Outputs of similar age
#155,480
of 227,908 outputs
Outputs of similar age from BMC Medical Research Methodology
#22
of 28 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,009 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 13th percentile – i.e., 13% 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 227,908 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.