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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bavachin Protects Human Aortic Smooth Muscle Cells Against β-Glycerophosphate-Mediated Vascular Calcification and Apoptosis via Activation of mTOR-Dependent Autophagy and Suppression of β-Catenin Signaling
|
|---|---|
| Published in |
Frontiers in Pharmacology, December 2019
|
| DOI | 10.3389/fphar.2019.01427 |
| Pubmed ID | |
| Authors |
Hu-Qiang He, Betty Yuen Kwan Law, Ni Zhang, Cong-ling Qiu, Yuan-Qing Qu, An-Guo Wu, Yu Han, Qi Song, Wen-Lu Zheng, Yong Liu, Yan-Zheng He, Vincent Kam Wai Wong |
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 % |
|---|---|---|
| Switzerland | 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 25% |
| Student > Doctoral Student | 1 | 13% |
| Professor | 1 | 13% |
| Student > Ph. D. Student | 1 | 13% |
| Professor > Associate Professor | 1 | 13% |
| Other | 1 | 13% |
| Unknown | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 38% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 13% |
| Agricultural and Biological Sciences | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Unknown | 2 | 25% |
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 13 January 2020.
All research outputs
#20,599,981
of 23,186,937 outputs
Outputs from Frontiers in Pharmacology
#10,385
of 16,594 outputs
Outputs of similar age
#382,575
of 458,074 outputs
Outputs of similar age from Frontiers in Pharmacology
#248
of 385 outputs
Altmetric has tracked 23,186,937 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,594 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% 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 458,074 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 385 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.