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Investigation of serum protein profiles in scrapie infected sheep by means of SELDI-TOF-MS and multivariate data analysis

Overview of attention for article published in BMC Research Notes, November 2013
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Title
Investigation of serum protein profiles in scrapie infected sheep by means of SELDI-TOF-MS and multivariate data analysis
Published in
BMC Research Notes, November 2013
DOI 10.1186/1756-0500-6-466
Pubmed ID
Authors

Siv Meling, Olav M Kvalheim, Reidar Arneberg, Kjetil Bårdsen, Anne Hjelle, Martha J Ulvund

Abstract

Classical scrapie in sheep is a fatal neurodegenerative disease associated with the conversion PrPC to PrPSc. Much is known about genetic susceptibility, uptake and dissemination of PrPSc in the body, but many aspects of prion diseases are still unknown. Different proteomic techniques have been used during the last decade to investigate differences in protein profiles between affected animals and healthy controls. We have investigated the protein profiles in serum of sheep with scrapie and healthy controls by SELDI-TOF-MS and LC-MS/MS. Latent Variable methods such as Principal Component Analysis, Partial Least Squares-Discriminant Analysis and Target Projection methods were used to describe the MS data.

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 44%
Student > Ph. D. Student 3 17%
Student > Bachelor 2 11%
Professor > Associate Professor 2 11%
Professor 1 6%
Other 1 6%
Unknown 1 6%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 28%
Neuroscience 4 22%
Agricultural and Biological Sciences 2 11%
Computer Science 2 11%
Engineering 2 11%
Other 1 6%
Unknown 2 11%

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 17 November 2013.
All research outputs
#2,898,463
of 3,631,967 outputs
Outputs from BMC Research Notes
#811
of 1,060 outputs
Outputs of similar age
#83,100
of 106,692 outputs
Outputs of similar age from BMC Research Notes
#40
of 48 outputs
Altmetric has tracked 3,631,967 research outputs across all sources so far. This one is in the 2nd percentile – i.e., 2% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,060 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% 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 106,692 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 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.