↓ Skip to main content

Identification of people with autosomal dominant polycystic kidney disease using routine data: a cross sectional study

Overview of attention for article published in BMC Nephrology, November 2014
Altmetric Badge

Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
70 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Identification of people with autosomal dominant polycystic kidney disease using routine data: a cross sectional study
Published in
BMC Nephrology, November 2014
DOI 10.1186/1471-2369-15-182
Pubmed ID
Authors

Andrew P McGovern, Simon Jones, Jeremy van Vlymen, Anand K Saggar, Richard Sandford, Simon de Lusignan

Abstract

Autosomal dominant polycystic kidney disease (ADPKD) causes progressive renal damage and is a leading cause of end-stage renal failure. With emerging therapies it is important to devise a method for early detection. We aimed to identify factors from routine clinical data which can be used to distinguish people with a high likelihood of having ADPKD in a primary health care setting.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
United States 1 1%
Unknown 67 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 14%
Student > Bachelor 8 11%
Other 7 10%
Student > Ph. D. Student 7 10%
Student > Doctoral Student 6 9%
Other 19 27%
Unknown 13 19%
Readers by discipline Count As %
Medicine and Dentistry 32 46%
Biochemistry, Genetics and Molecular Biology 5 7%
Nursing and Health Professions 5 7%
Psychology 3 4%
Unspecified 2 3%
Other 7 10%
Unknown 16 23%
Attention Score in Context

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 20 November 2014.
All research outputs
#17,732,540
of 22,771,140 outputs
Outputs from BMC Nephrology
#1,699
of 2,463 outputs
Outputs of similar age
#247,786
of 362,064 outputs
Outputs of similar age from BMC Nephrology
#33
of 44 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,463 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 24th percentile – i.e., 24% 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 362,064 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.