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A novel differential diagnostic model based on multiple biological parameters for immunoglobulin A nephropathy

Overview of attention for article published in BMC Medical Informatics and Decision Making, June 2012
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Title
A novel differential diagnostic model based on multiple biological parameters for immunoglobulin A nephropathy
Published in
BMC Medical Informatics and Decision Making, June 2012
DOI 10.1186/1472-6947-12-58
Pubmed ID
Authors

Jing Gao, Yong Wang, Zhennan Dong, Zhangming Yan, Xingwang Jia, Yaping Tian

Abstract

Immunoglobulin A nephropathy (IgAN) is the most common form of glomerulonephritis in China. An accurate diagnosis of IgAN is dependent on renal biopsies, and there is lack of non-invasive and practical classification methods for discriminating IgAN from other primary kidney diseases. The objective of this study was to develop a classification model for the auxiliary diagnosis of IgAN using multiparameter analysis with various biological parameters.

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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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 25%
Lecturer 1 13%
Student > Ph. D. Student 1 13%
Researcher 1 13%
Student > Postgraduate 1 13%
Other 0 0%
Unknown 2 25%
Readers by discipline Count As %
Medicine and Dentistry 4 50%
Social Sciences 1 13%
Agricultural and Biological Sciences 1 13%
Unknown 2 25%
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 01 July 2012.
All research outputs
#18,309,495
of 22,669,724 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,561
of 1,978 outputs
Outputs of similar age
#126,415
of 164,426 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#49
of 52 outputs
Altmetric has tracked 22,669,724 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 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% 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 164,426 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.