| Title |
Microbiome–metabolome reveals the contribution of gut–kidney axis on kidney disease
|
|---|---|
| Published in |
Journal of Translational Medicine, January 2019
|
| DOI | 10.1186/s12967-018-1756-4 |
| Pubmed ID | |
| Authors |
Yuan-Yuan Chen, Dan-Qian Chen, Lin Chen, Jing-Ru Liu, Nosratola D. Vaziri, Yan Guo, Ying-Yong Zhao |
X Demographics
The data shown below were collected from the profiles of 14 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 | 14% |
| Ecuador | 1 | 7% |
| Comoros | 1 | 7% |
| Kuwait | 1 | 7% |
| Unknown | 9 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 93% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 157 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 15% |
| Student > Bachelor | 21 | 13% |
| Researcher | 18 | 11% |
| Student > Master | 14 | 9% |
| Student > Doctoral Student | 11 | 7% |
| Other | 25 | 16% |
| Unknown | 44 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 17% |
| Biochemistry, Genetics and Molecular Biology | 18 | 11% |
| Immunology and Microbiology | 14 | 9% |
| Agricultural and Biological Sciences | 11 | 7% |
| Nursing and Health Professions | 7 | 4% |
| Other | 27 | 17% |
| Unknown | 54 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 February 2022.
All research outputs
#1,882,343
of 25,874,560 outputs
Outputs from Journal of Translational Medicine
#342
of 4,731 outputs
Outputs of similar age
#42,144
of 448,813 outputs
Outputs of similar age from Journal of Translational Medicine
#7
of 98 outputs
Altmetric has tracked 25,874,560 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,731 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 92% 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 448,813 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 90% of its contemporaries.
We're also able to compare this research output to 98 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 92% of its contemporaries.