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Mendeley readers
Attention Score in Context
Title |
Comparison of techniques for handling missing covariate data within prognostic modelling studies: a simulation study
|
---|---|
Published in |
BMC Medical Research Methodology, January 2010
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DOI | 10.1186/1471-2288-10-7 |
Pubmed ID | |
Authors |
Andrea Marshall, Douglas G Altman, Patrick Royston, Roger L Holder |
Abstract |
There is no consensus on the most appropriate approach to handle missing covariate data within prognostic modelling studies. Therefore a simulation study was performed to assess the effects of different missing data techniques on the performance of a prognostic model. |
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 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 2% |
United States | 2 | <1% |
Germany | 1 | <1% |
Vietnam | 1 | <1% |
France | 1 | <1% |
Spain | 1 | <1% |
Italy | 1 | <1% |
Unknown | 202 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 46 | 22% |
Researcher | 46 | 22% |
Student > Master | 17 | 8% |
Student > Doctoral Student | 17 | 8% |
Professor > Associate Professor | 16 | 8% |
Other | 40 | 19% |
Unknown | 31 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 73 | 34% |
Mathematics | 24 | 11% |
Psychology | 18 | 8% |
Computer Science | 16 | 8% |
Agricultural and Biological Sciences | 8 | 4% |
Other | 34 | 16% |
Unknown | 40 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 02 October 2019.
All research outputs
#14,141,940
of 22,660,862 outputs
Outputs from BMC Medical Research Methodology
#1,372
of 2,000 outputs
Outputs of similar age
#131,187
of 163,717 outputs
Outputs of similar age from BMC Medical Research Methodology
#7
of 9 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,000 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 28th percentile – i.e., 28% 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 163,717 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.