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Mendeley readers
Attention Score in Context
Title |
The accuracy of diagnostic coding for acute kidney injury in England – a single centre study
|
---|---|
Published in |
BMC Nephrology, March 2013
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DOI | 10.1186/1471-2369-14-58 |
Pubmed ID | |
Authors |
Laurie A Tomlinson, Alex M Riding, Rupert A Payne, Gary A Abel, Charles R Tomson, Ian B Wilkinson, Martin O Roland, Afzal N Chaudhry |
Abstract |
Acute kidney injury (AKI) is an independent risk factor for mortality and is responsible for a significant burden of healthcare expenditure, so accurate measurement of its incidence is important. Administrative coding data has been used for assessing AKI incidence, and shows an increasing proportion of hospital bed days attributable to AKI. However, the accuracy of coding for AKI and changes in coding over time have not been studied in England. |
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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 4% |
Unknown | 51 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 19% |
Researcher | 9 | 17% |
Student > Master | 5 | 9% |
Student > Bachelor | 4 | 8% |
Other | 4 | 8% |
Other | 7 | 13% |
Unknown | 14 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 27 | 51% |
Social Sciences | 3 | 6% |
Nursing and Health Professions | 2 | 4% |
Psychology | 2 | 4% |
Economics, Econometrics and Finance | 1 | 2% |
Other | 3 | 6% |
Unknown | 15 | 28% |
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 13 March 2013.
All research outputs
#18,332,122
of 22,701,287 outputs
Outputs from BMC Nephrology
#1,860
of 2,454 outputs
Outputs of similar age
#148,970
of 195,964 outputs
Outputs of similar age from BMC Nephrology
#25
of 35 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,454 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 11th percentile – i.e., 11% 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 195,964 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.