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Mendeley readers
Attention Score in Context
| Title |
A reverse metabolic approach to weaning: in silico identification of immune-beneficial infant gut bacteria, mining their metabolism for prebiotic feeds and sourcing these feeds in the natural product space
|
|---|---|
| Published in |
Microbiome, September 2018
|
| DOI | 10.1186/s40168-018-0545-x |
| Pubmed ID | |
| Authors |
Samanta Michelini, Biju Balakrishnan, Silvia Parolo, Alice Matone, Jane A. Mullaney, Wayne Young, Olivier Gasser, Clare Wall, Corrado Priami, Rosario Lombardo, Martin Kussmann |
| Abstract |
Weaning is a period of marked physiological change. The introduction of solid foods and the changes in milk consumption are accompanied by significant gastrointestinal, immune, developmental, and microbial adaptations. Defining a reduced number of infections as the desired health benefit for infants around weaning, we identified in silico (i.e., by advanced public domain mining) infant gut microbes as potential deliverers of this benefit. We then investigated the requirements of these bacteria for exogenous metabolites as potential prebiotic feeds that were subsequently searched for in the natural product space. Using public domain literature mining and an in silico reverse metabolic approach, we constructed probiotic-prebiotic-food associations, which can guide targeted feeding of immune health-beneficial microbes by weaning food; analyzed competition and synergy for (prebiotic) nutrients between selected microbes; and translated this information into designing an experimental complementary feed for infants enrolled in a pilot clinical trial ( http://www.nourishtoflourish.auckland.ac.nz/ ). In this study, we applied a benefit-oriented microbiome research strategy for enhanced early-life immune health. We extended from "classical" to molecular nutrition aiming to identify nutrients, bacteria, and mechanisms that point towards targeted feeding to improve immune health in infants around weaning. Here, we present the systems biology-based approach we used to inform us on the most promising prebiotic combinations known to support growth of beneficial gut bacteria ("probiotics") in the infant gut, thereby favorably promoting development of the immune system. |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 11% |
| Netherlands | 2 | 11% |
| Germany | 1 | 6% |
| India | 1 | 6% |
| United Kingdom | 1 | 6% |
| Vietnam | 1 | 6% |
| Unknown | 10 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 56% |
| Scientists | 5 | 28% |
| Practitioners (doctors, other healthcare professionals) | 3 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 130 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 14% |
| Student > Ph. D. Student | 14 | 11% |
| Student > Master | 13 | 10% |
| Student > Bachelor | 12 | 9% |
| Other | 7 | 5% |
| Other | 17 | 13% |
| Unknown | 49 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 12% |
| Agricultural and Biological Sciences | 12 | 9% |
| Biochemistry, Genetics and Molecular Biology | 12 | 9% |
| Nursing and Health Professions | 7 | 5% |
| Immunology and Microbiology | 6 | 5% |
| Other | 21 | 16% |
| Unknown | 57 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 14 August 2022.
All research outputs
#1,002,666
of 23,098,660 outputs
Outputs from Microbiome
#316
of 1,465 outputs
Outputs of similar age
#23,547
of 341,558 outputs
Outputs of similar age from Microbiome
#12
of 62 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,465 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.4. This one has done well, scoring higher than 78% 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 341,558 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.