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Application of protein lysate microarrays to molecular marker verification and quantification

Overview of attention for article published in Proteome Science, November 2005
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About this Attention Score

  • Among the highest-scoring outputs from this source (#40 of 190)

Mentioned by

wikipedia
1 Wikipedia page

Citations

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23 Dimensions

Readers on

mendeley
28 Mendeley
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Title
Application of protein lysate microarrays to molecular marker verification and quantification
Published in
Proteome Science, November 2005
DOI 10.1186/1477-5956-3-9
Pubmed ID
Authors

Anitha Ramaswamy, E Lin, Iou Chen, Rahul Mitra, Joel Morrisett, Kevin Coombes, Zhenlin Ju, Mini Kapoor

Abstract

This study presents the development and application of protein lysate microarray (LMA) technology for verification of presence and quantification of human tissue samples for protein biomarkers. Sub-picogram range sensitivity has been achieved on LMA using a non-enzymatic protein detection methodology. Results from a set of quality control experiments are presented and demonstrate the high sensitivity and reproducibility of the LMA methodology. The optimized LMA methodology has been applied for verification of the presence and quantification of disease markers for atherosclerosis. LMA were used to measure lipoprotein [a] and apolipoprotein B100 in 52 carotid endarterectomy samples. The data generated by LMA were validated by ELISA using the same protein lysates. The correlations of protein amounts estimated by LMA and ELISA were highly significant, with r2 > or = 0.98 (p < or = 0.001) for lipoprotein [a] and with r2 > or = 0.94 (p < or = 0.001) for apolipoprotein B100. This is the first report to compare data generated using proteins microarrays with ELISA, a standard technology for the verification of the presence of protein biomarkers. The sensitivity, reproducibility, and high-throughput quality of LMA technology make it a potentially powerful technology for profiling disease specific protein markers in clinical samples.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 29%
Student > Ph. D. Student 7 25%
Student > Bachelor 4 14%
Student > Doctoral Student 3 11%
Professor > Associate Professor 2 7%
Other 2 7%
Unknown 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 39%
Biochemistry, Genetics and Molecular Biology 5 18%
Computer Science 5 18%
Immunology and Microbiology 2 7%
Medicine and Dentistry 1 4%
Other 2 7%
Unknown 2 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 March 2009.
All research outputs
#7,454,427
of 22,789,566 outputs
Outputs from Proteome Science
#40
of 190 outputs
Outputs of similar age
#20,908
of 60,657 outputs
Outputs of similar age from Proteome Science
#1
of 1 outputs
Altmetric has tracked 22,789,566 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 190 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 57% 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 60,657 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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