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Development of protein biomarkers in cerebrospinal fluid for secondary progressive multiple sclerosis using selected reaction monitoring mass spectrometry (SRM-MS)

Overview of attention for article published in Clinical Proteomics, July 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 (#48 of 279)
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
60 Mendeley
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Title
Development of protein biomarkers in cerebrospinal fluid for secondary progressive multiple sclerosis using selected reaction monitoring mass spectrometry (SRM-MS)
Published in
Clinical Proteomics, July 2012
DOI 10.1186/1559-0275-9-9
Pubmed ID
Authors

Yan Jia, Tianxia Wu, Christine A Jelinek, Bibiana Bielekova, Linda Chang, Scott Newsome, Sharmilee Gnanapavan, Gavin Giovannoni, Dawn Chen, Peter A Calabresi, Avindra Nath, Robert J Cotter

Abstract

Multiple sclerosis (MS) is a chronic inflammatory disorder of the central nervous system (CNS). It involves damage to the myelin sheath surrounding axons and to the axons themselves. MS most often presents with a series of relapses and remissions but then evolves over a variable period of time into a slowly progressive form of neurological dysfunction termed secondary progressive MS (SPMS). The reasons for this change in clinical presentation are unclear. The absence of a diagnostic marker means that there is a lag time of several years before the diagnosis of SPMS can be established. At the same time, understanding the mechanisms that underlie SPMS is critical to the development of rational therapies for this untreatable stage of the disease.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Denmark 1 2%
Unknown 58 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 27%
Student > Ph. D. Student 8 13%
Professor 5 8%
Student > Master 4 7%
Student > Postgraduate 3 5%
Other 10 17%
Unknown 14 23%
Readers by discipline Count As %
Medicine and Dentistry 18 30%
Agricultural and Biological Sciences 9 15%
Biochemistry, Genetics and Molecular Biology 5 8%
Neuroscience 4 7%
Unspecified 2 3%
Other 8 13%
Unknown 14 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 August 2012.
All research outputs
#4,570,602
of 22,709,015 outputs
Outputs from Clinical Proteomics
#48
of 279 outputs
Outputs of similar age
#32,060
of 164,876 outputs
Outputs of similar age from Clinical Proteomics
#3
of 4 outputs
Altmetric has tracked 22,709,015 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 279 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 82% 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 164,876 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 80% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.