↓ Skip to main content

Systematic variations associated with renal disease uncovered by parallel metabolomics of urine and serum

Overview of attention for article published in BMC Systems Biology, July 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

f1000
1 research highlight platform

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
37 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
Systematic variations associated with renal disease uncovered by parallel metabolomics of urine and serum
Published in
BMC Systems Biology, July 2012
DOI 10.1186/1752-0509-6-s1-s14
Pubmed ID
Authors

Xianfu Gao, Wanjia Chen, Rongxia Li, Minfeng Wang, Chunlei Chen, Rong Zeng, Yueyi Deng

Abstract

Membranous nephropathy is an important glomerular disease characterized by podocyte injury and proteinuria, but no metabolomics research was reported as yet. Here, we performed a parallel metabolomics study, based on human urine and serum, to comprehensively profile systematic metabolic variations, identify differential metabolites, and understand the pathogenic mechanism of membranous nephropathy.

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Singapore 1 3%
Unknown 35 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 30%
Student > Bachelor 5 14%
Student > Ph. D. Student 3 8%
Student > Master 3 8%
Other 2 5%
Other 7 19%
Unknown 6 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 27%
Medicine and Dentistry 8 22%
Biochemistry, Genetics and Molecular Biology 4 11%
Chemistry 2 5%
Computer Science 1 3%
Other 3 8%
Unknown 9 24%

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 04 January 2013.
All research outputs
#2,246,051
of 4,011,094 outputs
Outputs from BMC Systems Biology
#294
of 625 outputs
Outputs of similar age
#151,951
of 281,127 outputs
Outputs of similar age from BMC Systems Biology
#19
of 45 outputs
Altmetric has tracked 4,011,094 research outputs across all sources so far. This one is in the 25th percentile – i.e., 25% of other outputs scored the same or lower than it.
So far Altmetric has tracked 625 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 43rd percentile – i.e., 43% 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 281,127 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.