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The glomerular filtration rate estimated by new and old equations as a predictor of important outcomes in elderly patients

Overview of attention for article published in BMC Medicine, February 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)

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Citations

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44 Mendeley
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1 CiteULike
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Title
The glomerular filtration rate estimated by new and old equations as a predictor of important outcomes in elderly patients
Published in
BMC Medicine, February 2014
DOI 10.1186/1741-7015-12-27
Pubmed ID
Authors

Gijs Van Pottelbergh, Bert Vaes, Wim Adriaensen, Cathy Matheï, Delphine Legrand, Pierre Wallemacq, Jean Marie Degryse

Abstract

The prevalence of chronic kidney disease (CKD) increases with age, and new glomerular filtration rate-estimating equations have recently been validated. The epidemiology of CKD in older individuals and the relationship between a low estimated glomerular filtration rate as calculated by these equations and adverse outcomes remains unknown.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 2%
Unknown 43 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 16%
Student > Postgraduate 4 9%
Student > Bachelor 4 9%
Lecturer 3 7%
Other 3 7%
Other 9 20%
Unknown 14 32%
Readers by discipline Count As %
Medicine and Dentistry 19 43%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Nursing and Health Professions 2 5%
Psychology 2 5%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 1 2%
Unknown 17 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 May 2014.
All research outputs
#7,411,042
of 23,573,233 outputs
Outputs from BMC Medicine
#2,631
of 3,569 outputs
Outputs of similar age
#91,214
of 316,231 outputs
Outputs of similar age from BMC Medicine
#46
of 63 outputs
Altmetric has tracked 23,573,233 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 3,569 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.5. This one is in the 26th percentile – i.e., 26% 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 316,231 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.