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Multi-platform characterization of the human cerebrospinal fluid metabolome: a comprehensive and quantitative update

Overview of attention for article published in Genome Medicine, April 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
6 X users
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1 patent
wikipedia
3 Wikipedia pages
f1000
1 research highlight platform

Citations

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123 Dimensions

Readers on

mendeley
193 Mendeley
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Title
Multi-platform characterization of the human cerebrospinal fluid metabolome: a comprehensive and quantitative update
Published in
Genome Medicine, April 2012
DOI 10.1186/gm337
Pubmed ID
Authors

Rupasri Mandal, An Chi Guo, Kruti K Chaudhary, Philip Liu, Faizath S Yallou, Edison Dong, Farid Aziat, David S Wishart

Abstract

Human cerebral spinal fluid (CSF) is known to be a rich source of small molecule biomarkers for neurological and neurodegenerative diseases. In 2007, we conducted a comprehensive metabolomic study and performed a detailed literature review on metabolites that could be detected (via metabolomics or other techniques) in CSF. A total of 308 detectable metabolites were identified, of which only 23% were shown to be routinely identifiable or quantifiable with the metabolomics technologies available at that time. The continuing advancement in analytical technologies along with the growing interest in CSF metabolomics has led us to re-visit the human CSF metabolome and to re-assess both its size and the level of coverage than can be achieved with today's technologies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Netherlands 1 <1%
Italy 1 <1%
India 1 <1%
United Kingdom 1 <1%
Romania 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 185 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 29%
Researcher 45 23%
Student > Master 17 9%
Other 12 6%
Professor > Associate Professor 10 5%
Other 30 16%
Unknown 23 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 25%
Chemistry 36 19%
Biochemistry, Genetics and Molecular Biology 32 17%
Medicine and Dentistry 16 8%
Neuroscience 10 5%
Other 22 11%
Unknown 28 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 08 April 2022.
All research outputs
#3,621,629
of 25,371,288 outputs
Outputs from Genome Medicine
#780
of 1,585 outputs
Outputs of similar age
#22,956
of 175,005 outputs
Outputs of similar age from Genome Medicine
#10
of 25 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has gotten more attention than average, scoring higher than 50% 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 175,005 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 86% of its contemporaries.
We're also able to compare this research output to 25 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 60% of its contemporaries.