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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Anthocyanin improves kidney function in diabetic kidney disease by regulating amino acid metabolism
|
|---|---|
| Published in |
Journal of Translational Medicine, November 2022
|
| DOI | 10.1186/s12967-022-03717-9 |
| Pubmed ID | |
| Authors |
Yi-Xi Li, Yong-Ping Lu, Donge Tang, Bo Hu, Ze-Yu Zhang, Hong-Wei Wu, Li-Jing Fan, Kai-Wen Cai, Chun Tang, Yi-Qing Zhang, Ling Hong, Jing-jing Dong, Bao-zhang Guan, Liang-Hong Yin, Yong Dai, Wei-bin Bai, Zhi-Hua Zheng, Ting Zhu |
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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 15% |
| Student > Ph. D. Student | 3 | 15% |
| Student > Postgraduate | 2 | 10% |
| Professor > Associate Professor | 2 | 10% |
| Student > Master | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 6 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 10% |
| Chemistry | 2 | 10% |
| Agricultural and Biological Sciences | 2 | 10% |
| Veterinary Science and Veterinary Medicine | 1 | 5% |
| Other | 4 | 20% |
| Unknown | 6 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 25 April 2024.
All research outputs
#3,640,915
of 25,789,020 outputs
Outputs from Journal of Translational Medicine
#647
of 4,714 outputs
Outputs of similar age
#72,523
of 442,830 outputs
Outputs of similar age from Journal of Translational Medicine
#22
of 135 outputs
Altmetric has tracked 25,789,020 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,714 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 well, scoring higher than 86% 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 442,830 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 83% of its contemporaries.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.