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X Demographics
Mendeley readers
Attention Score in Context
Title |
The eGFR-C study: accuracy of glomerular filtration rate (GFR) estimation using creatinine and cystatin C and albuminuria for monitoring disease progression in patients with stage 3 chronic kidney disease - prospective longitudinal study in a multiethnic population
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Published in |
BMC Nephrology, January 2014
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DOI | 10.1186/1471-2369-15-13 |
Pubmed ID | |
Authors |
Edmund J Lamb, Elizabeth A Brettell, Paul Cockwell, Neil Dalton, Jon J Deeks, Kevin Harris, Tracy Higgins, Philip A Kalra, Kamlesh Khunti, Fiona Loud, Ryan S Ottridge, Claire C Sharpe, Alice J Sitch, Paul E Stevens, Andrew J Sutton, Maarten W Taal |
Abstract |
Uncertainty exists regarding the optimal method to estimate glomerular filtration rate (GFR) for disease detection and monitoring. Widely used GFR estimates have not been validated in British ethnic minority populations. |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 2 | 50% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Sri Lanka | 1 | <1% |
Unknown | 101 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 17 | 17% |
Student > Bachelor | 17 | 17% |
Student > Ph. D. Student | 10 | 10% |
Student > Master | 9 | 9% |
Other | 8 | 8% |
Other | 24 | 24% |
Unknown | 17 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 34 | 33% |
Nursing and Health Professions | 7 | 7% |
Biochemistry, Genetics and Molecular Biology | 7 | 7% |
Mathematics | 4 | 4% |
Neuroscience | 4 | 4% |
Other | 24 | 24% |
Unknown | 22 | 22% |
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 28 May 2019.
All research outputs
#15,165,673
of 24,522,750 outputs
Outputs from BMC Nephrology
#1,291
of 2,661 outputs
Outputs of similar age
#180,634
of 317,606 outputs
Outputs of similar age from BMC Nephrology
#25
of 61 outputs
Altmetric has tracked 24,522,750 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,661 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 49th percentile – i.e., 49% 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 317,606 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 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 55% of its contemporaries.