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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
GC-MS Analysis of Short-Chain Fatty Acids in Feces, Cecum Content, and Blood Samples
|
|---|---|
| Chapter number | 17 |
| Book title |
Clinical Metabolomics
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7592-1_17 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7591-4, 978-1-4939-7592-1
|
| Authors |
Lisa R. Hoving, Marieke Heijink, Vanessa van Harmelen, Ko Willems van Dijk, Martin Giera |
| Abstract |
Short-chain fatty acids, the end products of fermentation of dietary fibers by the gut microbiota, have been shown to exert multiple effects on mammalian metabolism. For the analysis of short-chain fatty acids, gas chromatography-mass spectrometry is a very powerful and reliable method. Here, we describe a fast, reliable, and reproducible method for the separation and quantification of short-chain fatty acids in mouse feces, cecum content, and blood samples (i.e., plasma or serum) using gas chromatography-mass spectrometry. The short-chain fatty acids analyzed include acetic acid, propionic acid, butyric acid, valeric acid, hexanoic acid, and heptanoic acid. |
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 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 155 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 15% |
| Student > Master | 24 | 15% |
| Researcher | 20 | 13% |
| Student > Bachelor | 17 | 11% |
| Other | 7 | 5% |
| Other | 18 | 12% |
| Unknown | 45 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 26 | 17% |
| Agricultural and Biological Sciences | 18 | 12% |
| Chemistry | 13 | 8% |
| Medicine and Dentistry | 12 | 8% |
| Immunology and Microbiology | 10 | 6% |
| Other | 22 | 14% |
| Unknown | 54 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 February 2018.
All research outputs
#4,119,957
of 23,018,998 outputs
Outputs from Methods in molecular biology
#1,076
of 13,165 outputs
Outputs of similar age
#90,358
of 442,354 outputs
Outputs of similar age from Methods in molecular biology
#90
of 1,498 outputs
Altmetric has tracked 23,018,998 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,165 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 91% 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 442,354 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 79% of its contemporaries.
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 has done particularly well, scoring higher than 93% of its contemporaries.