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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Berberine alleviates ox-LDL induced inflammatory factors by up-regulation of autophagy via AMPK/mTOR signaling pathway
|
|---|---|
| Published in |
Journal of Translational Medicine, March 2015
|
| DOI | 10.1186/s12967-015-0450-z |
| Pubmed ID | |
| Authors |
Xiaodi Fan, Jun Wang, Jincai Hou, Chengren Lin, Alan Bensoussan, Dennis Chang, Jianxun Liu, Bing Wang |
| Abstract |
Inflammation induced by oxidized low-density lipoprotein (ox-LDL) plays an important role in the pathogenesis of atherosclerosis. Recently, roles of autophagy against inflammation in the process of atherosclerosis have drawn increasing attention. Here, we tested the possible molecular mechanisms by which berberine confers an anti-inflammatory effect in macrophages by upregulation of autophagy. |
X Demographics
The data shown below were collected from the profiles of 35 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 | 10 | 29% |
| United Kingdom | 2 | 6% |
| Canada | 2 | 6% |
| Australia | 1 | 3% |
| Unknown | 20 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 71% |
| Practitioners (doctors, other healthcare professionals) | 6 | 17% |
| Scientists | 3 | 9% |
| Unknown | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 2% |
| Unknown | 57 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 17% |
| Student > Master | 10 | 17% |
| Researcher | 6 | 10% |
| Student > Bachelor | 4 | 7% |
| Unspecified | 3 | 5% |
| Other | 11 | 19% |
| Unknown | 14 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 19% |
| Medicine and Dentistry | 6 | 10% |
| Agricultural and Biological Sciences | 5 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 9% |
| Unspecified | 3 | 5% |
| Other | 10 | 17% |
| Unknown | 18 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 03 November 2022.
All research outputs
#1,783,683
of 25,483,400 outputs
Outputs from Journal of Translational Medicine
#325
of 4,658 outputs
Outputs of similar age
#22,530
of 277,589 outputs
Outputs of similar age from Journal of Translational Medicine
#4
of 86 outputs
Altmetric has tracked 25,483,400 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,658 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 93% 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 277,589 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 91% of its contemporaries.
We're also able to compare this research output to 86 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 96% of its contemporaries.