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Mendeley readers
Attention Score in Context
| Title |
Integration of datasets from different analytical techniques to assess the impact of nutrition on human metabolome
|
|---|---|
| Published in |
Frontiers in Cellular and Infection Microbiology, January 2012
|
| DOI | 10.3389/fcimb.2012.00156 |
| Pubmed ID | |
| Authors |
Pamela Vernocchi, Lucia Vannini, Davide Gottardi, Federica Del Chierico, Diana I. Serrazanetti, Maurice Ndagijimana, Maria E. Guerzoni |
| Abstract |
Bacteria colonizing the human intestinal tract exhibit a high phylogenetic diversity that reflects their immense metabolic potentials. The catalytic activity of gut microbes has an important impact on gastrointestinal (GI) functions and host health. The microbial conversion of carbohydrates and other food components leads to the formation of a large number of compounds that affect the host metabolome and have beneficial or adverse effects on human health. Metabolomics is a metabolic-biology system approach focused on the metabolic responses understanding of living systems to physio-pathological stimuli by using multivariate statistical data on human body fluids obtained by different instrumental techniques. A metabolomic approach based on an analytical platform could be able to separate, detect, characterize and quantify a wide range of metabolites and its metabolic pathways. This approach has been recently applied to study the metabolic changes triggered in the gut microbiota by specific diet components and diet variations, specific diseases, probiotic and synbiotic food intake. This review describes the metabolomic data obtained by analyzing human fluids by using different techniques and particularly Gas Chromatography Mass Spectrometry Solid-phase Micro Extraction (GC-MS/SPME), Proton Nuclear Magnetic Resonance ((1)H-NMR) Spectroscopy and Fourier Transform Infrared (FTIR) Spectroscopy. This instrumental approach has a good potential in the identification and detection of specific food intake and diseases biomarkers. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Germany | 1 | <1% |
| Italy | 1 | <1% |
| Canada | 1 | <1% |
| Belgium | 1 | <1% |
| Denmark | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 110 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 25% |
| Student > Ph. D. Student | 17 | 14% |
| Student > Master | 13 | 11% |
| Student > Bachelor | 10 | 8% |
| Other | 8 | 7% |
| Other | 22 | 19% |
| Unknown | 19 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 31% |
| Medicine and Dentistry | 21 | 18% |
| Biochemistry, Genetics and Molecular Biology | 11 | 9% |
| Chemistry | 9 | 8% |
| Nursing and Health Professions | 2 | 2% |
| Other | 18 | 15% |
| Unknown | 21 | 18% |
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 19 December 2012.
All research outputs
#15,258,711
of 22,689,790 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#3,467
of 6,295 outputs
Outputs of similar age
#163,212
of 244,142 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#62
of 109 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,295 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 36th percentile – i.e., 36% 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 244,142 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.