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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
LC-MS/MS Analysis of Bile Acids
|
---|---|
Chapter number | 8 |
Book title |
Clinical Metabolomics
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7592-1_8 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7591-4, 978-1-4939-7592-1
|
Authors |
Sabrina Krautbauer, Gerhard Liebisch |
Abstract |
Besides their role as lipid solubilizers, bile acids (BAs) are increasingly appreciated as bioactive molecules. They bind to G-protein-coupled receptors and nuclear hormone receptors. So they control their own metabolism and act on lipid and energy metabolism. Here we describe a simple, accurate, and fast liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the quantification of BAs in human plasma/serum. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 16% |
Student > Ph. D. Student | 2 | 11% |
Lecturer | 1 | 5% |
Professor | 1 | 5% |
Student > Doctoral Student | 1 | 5% |
Other | 2 | 11% |
Unknown | 9 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 2 | 11% |
Agricultural and Biological Sciences | 2 | 11% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Nursing and Health Professions | 1 | 5% |
Other | 2 | 11% |
Unknown | 10 | 53% |
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 25 January 2018.
All research outputs
#18,584,192
of 23,018,998 outputs
Outputs from Methods in molecular biology
#7,965
of 13,165 outputs
Outputs of similar age
#330,558
of 442,354 outputs
Outputs of similar age from Methods in molecular biology
#950
of 1,498 outputs
Altmetric has tracked 23,018,998 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% 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 24th percentile – i.e., 24% 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 14th percentile – i.e., 14% 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 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.