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Overcoming the Effects of Matrix Interference in the Measurement of Urine Protein Analytes

Overview of attention for article published in Biomarker Insights, February 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#42 of 259)
  • High Attention Score compared to outputs of the same age (87th percentile)

Mentioned by

patent
3 patents
facebook
1 Facebook page

Readers on

mendeley
77 Mendeley
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Article details
Title
Overcoming the Effects of Matrix Interference in the Measurement of Urine Protein Analytes
Published in
Biomarker Insights, February 2012
DOI 10.4137/bmi.s8703
Pubmed ID
Authors
Abstract

Using multiplex bead assays to measure urine proteins has a great potential for biomarker discovery, but substances in urine (the matrix) can interfere with assay measurements. By comparing the recovery of urine spiked with known quantities of several common analytes, this study demonstrated that the urine matrix variably interfered with the accurate measurement of low abundance proteins. Dilution of the urine permitted a more accurate measure of these proteins, equivalent to the standard dilution technique when the diluted analytes were above the limits of detection of the assay. Therefore, dilution can be used as an effective technique for over-coming urine matrix effects in urine immunoassays. These results may be applicable to other biological fluids in which matrix components interfere with assay performance.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Sweden 1 1%
France 1 1%
Germany 1 1%
Unknown 74 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 16 21%
Student > Ph. D. Student 13 17%
Student > Master 8 10%
Student > Bachelor 6 8%
Lecturer 2 3%
Other 5 6%
Unknown 27 35%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 15 19%
Biochemistry, Genetics and Molecular Biology 11 14%
Chemistry 6 8%
Engineering 4 5%
Chemical Engineering 3 4%
Other 9 12%
Unknown 29 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 09 July 2026.
All research outputs
#4,973,892
of 34,115,020 outputs
Outputs from Biomarker Insights
#42
of 259 outputs
Outputs of similar age
#37,270
of 307,649 outputs
Outputs of similar age from Biomarker Insights
#1
of 3 outputs
Altmetric has tracked 34,115,020 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 259 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has done well, scoring higher than 83% of its peers.
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 307,649 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them