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Plasma proteome analysis in HTLV-1-associated myelopathy/tropical spastic paraparesis

Overview of attention for article published in Retrovirology, October 2011
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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Title
Plasma proteome analysis in HTLV-1-associated myelopathy/tropical spastic paraparesis
Published in
Retrovirology, October 2011
DOI 10.1186/1742-4690-8-81
Pubmed ID
Authors

Paul DW Kirk, Aviva Witkover, Alan Courtney, Alexandra M Lewin, Robin Wait, Michael PH Stumpf, Sylvia Richardson, Graham P Taylor, Charles RM Bangham

Abstract

Human T lymphotropic virus Type 1 (HTLV-1) causes a chronic inflammatory disease of the central nervous system known as HTLV-1-associated myelopathy/tropical spastic paraparesis (HAM) which resembles chronic spinal forms of multiple sclerosis (MS). The pathogenesis of HAM remains uncertain. To aid in the differential diagnosis of HAM and to identify pathogenetic mechanisms, we analysed the plasma proteome in asymptomatic HTLV-1 carriers (ACs), patients with HAM, uninfected controls, and patients with MS. We used surface-enhanced laser desorption-ionization (SELDI) mass spectrometry to analyse the plasma proteome in 68 HTLV-1-infected individuals (in two non-overlapping sets, each comprising 17 patients with HAM and 17 ACs), 16 uninfected controls, and 11 patients with secondary progressive MS. Candidate biomarkers were identified by tandem Q-TOF mass spectrometry.

X Demographics

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The data shown below were collected from the profiles of 9 X users 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 20%
Student > Ph. D. Student 7 18%
Researcher 6 15%
Student > Doctoral Student 3 8%
Other 3 8%
Other 5 13%
Unknown 8 20%
Readers by discipline Count As %
Medicine and Dentistry 9 23%
Agricultural and Biological Sciences 6 15%
Biochemistry, Genetics and Molecular Biology 3 8%
Immunology and Microbiology 3 8%
Engineering 2 5%
Other 6 15%
Unknown 11 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 11 September 2018.
All research outputs
#6,155,352
of 23,316,003 outputs
Outputs from Retrovirology
#313
of 1,115 outputs
Outputs of similar age
#36,806
of 137,384 outputs
Outputs of similar age from Retrovirology
#9
of 27 outputs
Altmetric has tracked 23,316,003 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,115 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 71% 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 137,384 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.