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Mendeley readers
Attention Score in Context
Chapter title |
Exploratory GC/MS-Based Metabolomics of Body Fluids
|
---|---|
Chapter number | 16 |
Book title |
Clinical Metabolomics
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7592-1_16 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7591-4, 978-1-4939-7592-1
|
Authors |
Carole Migné, Stéphanie Durand, Estelle Pujos-Guillot, Migné, Carole, Durand, Stéphanie, Pujos-Guillot, Estelle |
Abstract |
GC/MS-based metabolomics is a powerful tool for metabolic phenotyping and biomarker discovery from body biofluids. In this chapter, we describe an untargeted metabolomic approach for plasma/serum and fecal water sample profiling. It describes a multistep procedure, from sample preparation, oximation/silylation derivatization, and data acquisition using GC/QToF to data processing consisting in data extraction and identification of metabolites. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Comoros | 1 | 50% |
United States | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 36% |
Student > Master | 3 | 27% |
Professor | 1 | 9% |
Other | 1 | 9% |
Lecturer | 1 | 9% |
Other | 1 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 3 | 27% |
Biochemistry, Genetics and Molecular Biology | 2 | 18% |
Agricultural and Biological Sciences | 2 | 18% |
Nursing and Health Professions | 1 | 9% |
Medicine and Dentistry | 1 | 9% |
Other | 1 | 9% |
Unknown | 1 | 9% |
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 26 December 2018.
All research outputs
#17,927,741
of 23,018,998 outputs
Outputs from Methods in molecular biology
#7,288
of 13,165 outputs
Outputs of similar age
#310,382
of 442,354 outputs
Outputs of similar age from Methods in molecular biology
#868
of 1,498 outputs
Altmetric has tracked 23,018,998 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,165 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% 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 442,354 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.