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Mendeley readers
Attention Score in Context
| Title |
Age-related changes in gut microbiota composition from newborn to centenarian: a cross-sectional study
|
|---|---|
| Published in |
BMC Microbiology, May 2016
|
| DOI | 10.1186/s12866-016-0708-5 |
| Pubmed ID | |
| Authors |
Toshitaka Odamaki, Kumiko Kato, Hirosuke Sugahara, Nanami Hashikura, Sachiko Takahashi, Jin-zhong Xiao, Fumiaki Abe, Ro Osawa |
| Abstract |
It has been reported that the composition of human gut microbiota changes with age; however, few studies have used molecular techniques to investigate the long-term, sequential changes in gut microbiota composition. In this study, we investigated the sequential changes in gut microbiota composition in newborn to centenarian Japanese subjects. Fecal samples from 367 healthy Japanese subjects between the ages of 0 and 104 years were analyzed by high-throughput sequencing of amplicons derived from the V3-V4 region of the 16S rRNA gene. Analysis based on bacterial co-abundance groups (CAGs) defined by Kendall correlations between genera revealed that certain transition types of microbiota were enriched in infants, adults, elderly individuals and both infant and elderly subjects. More positive correlations between the relative abundances of genera were observed in the elderly-associated CAGs compared with the infant- and adult-associated CAGs. Hierarchical Ward's linkage clustering based on the abundance of genera indicated five clusters, with median (interquartile range) ages of 3 (0-35), 33 (24-45), 42 (32-62), 77 (36-84) and 94 (86-98) years. Subjects were predominantly clustered with their matched age; however, some of them fell into mismatched age clusters. Furthermore, clustering based on the proportion of transporters predicted by phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt) showed that subjects were divided into two age-related groups, the adult-enriched and infant/elderly-enriched clusters. Notably, all the drug transporters based on Kyoto Encyclopedia of Genes and Genomes (KEGG) Orthology groups were found in the infant/elderly-enriched cluster. Our results indicate some patterns and transition points in the compositional changes in gut microbiota with age. In addition, the transporter property prediction results suggest that nutrients in the gut might play an important role in changing the gut microbiota composition with age. |
X Demographics
The data shown below were collected from the profiles of 27 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 | 7 | 26% |
| Japan | 2 | 7% |
| Saudi Arabia | 1 | 4% |
| Italy | 1 | 4% |
| Israel | 1 | 4% |
| Chile | 1 | 4% |
| United Kingdom | 1 | 4% |
| Unknown | 13 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 78% |
| Scientists | 5 | 19% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,284 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | <1% |
| Netherlands | 1 | <1% |
| Finland | 1 | <1% |
| India | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 1278 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 184 | 14% |
| Student > Ph. D. Student | 177 | 14% |
| Student > Bachelor | 165 | 13% |
| Student > Master | 132 | 10% |
| Other | 69 | 5% |
| Other | 184 | 14% |
| Unknown | 373 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 214 | 17% |
| Biochemistry, Genetics and Molecular Biology | 199 | 15% |
| Medicine and Dentistry | 146 | 11% |
| Immunology and Microbiology | 109 | 8% |
| Nursing and Health Professions | 41 | 3% |
| Other | 147 | 11% |
| Unknown | 428 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 99. 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 10 October 2023.
All research outputs
#433,323
of 26,017,215 outputs
Outputs from BMC Microbiology
#10
of 3,538 outputs
Outputs of similar age
#8,385
of 354,002 outputs
Outputs of similar age from BMC Microbiology
#1
of 70 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,538 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 99% 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 354,002 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 97% of its contemporaries.
We're also able to compare this research output to 70 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 98% of its contemporaries.