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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Regression methods for investigating risk factors of chronic kidney disease outcomes: the state of the art
|
|---|---|
| Published in |
BMC Nephrology, March 2014
|
| DOI | 10.1186/1471-2369-15-45 |
| Pubmed ID | |
| Authors |
Julie Boucquemont, Georg Heinze, Kitty J Jager, Rainer Oberbauer, Karen Leffondre |
| Abstract |
Chronic kidney disease (CKD) is a progressive and usually irreversible disease. Different types of outcomes are of interest in the course of CKD such as time-to-dialysis, transplantation or decline of the glomerular filtration rate (GFR). Statistical analyses aiming at investigating the association between these outcomes and risk factors raise a number of methodological issues. The objective of this study was to give an overview of these issues and to highlight some statistical methods that can address these topics. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 2% |
| Austria | 1 | 2% |
| Unknown | 59 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 18% |
| Student > Ph. D. Student | 10 | 16% |
| Professor > Associate Professor | 7 | 11% |
| Student > Master | 7 | 11% |
| Student > Doctoral Student | 4 | 7% |
| Other | 10 | 16% |
| Unknown | 12 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 36% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Nursing and Health Professions | 3 | 5% |
| Computer Science | 3 | 5% |
| Mathematics | 2 | 3% |
| Other | 10 | 16% |
| Unknown | 17 | 28% |
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 24 September 2018.
All research outputs
#3,971,573
of 22,747,498 outputs
Outputs from BMC Nephrology
#405
of 2,461 outputs
Outputs of similar age
#39,596
of 220,990 outputs
Outputs of similar age from BMC Nephrology
#6
of 45 outputs
Altmetric has tracked 22,747,498 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 2,461 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 83% 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 220,990 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 82% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.