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Biomarker discovery in human cerebrospinal fluid: the need for integrative metabolome and proteome databases

Overview of attention for article published in Genome Medicine, April 2012
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2 tweeters

Citations

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5 Dimensions

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31 Mendeley
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Title
Biomarker discovery in human cerebrospinal fluid: the need for integrative metabolome and proteome databases
Published in
Genome Medicine, April 2012
DOI 10.1186/gm338
Pubmed ID
Authors

Schwarz E, Torrey EF, Guest PC, Bahn S, Emanuel Schwarz, E Fuller Torrey, Paul C Guest, Sabine Bahn

Abstract

The number of metabolites identified in human cerebrospinal fluid (CSF) has steadily increased over the past 5 years, and in this issue of Genome Medicine David Wishart and colleagues provide a comprehensive update that brings the number of metabolites listed in the CSF metabolome database to 476 compounds. There is now a need for an integrative metabolome-proteome CSF database to maximize the impact of this achievement in biomedical research. Only by such efforts can we hope to unravel the complexity of molecular pathophysiological processes.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Spain 1 3%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 32%
Student > Ph. D. Student 8 26%
Student > Master 6 19%
Professor 3 10%
Other 1 3%
Other 1 3%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 39%
Medicine and Dentistry 5 16%
Biochemistry, Genetics and Molecular Biology 4 13%
Neuroscience 3 10%
Psychology 1 3%
Other 3 10%
Unknown 3 10%

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 01 June 2012.
All research outputs
#5,968,393
of 10,232,583 outputs
Outputs from Genome Medicine
#752
of 824 outputs
Outputs of similar age
#54,258
of 102,870 outputs
Outputs of similar age from Genome Medicine
#21
of 24 outputs
Altmetric has tracked 10,232,583 research outputs across all sources so far. This one is in the 25th percentile – i.e., 25% of other outputs scored the same or lower than it.
So far Altmetric has tracked 824 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.7. This one is in the 6th percentile – i.e., 6% 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 102,870 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.