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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Traditional Chinese Medicine: Role in Reducing β-Amyloid, Apoptosis, Autophagy, Neuroinflammation, Oxidative Stress, and Mitochondrial Dysfunction of Alzheimer’s Disease
|
|---|---|
| Published in |
Frontiers in Pharmacology, April 2020
|
| DOI | 10.3389/fphar.2020.00497 |
| Pubmed ID | |
| Authors |
Shi-Yu Chen, Yue Gao, Jia-Yi Sun, Xian-Li Meng, Dong Yang, Lin-Hong Fan, Li Xiang, Ping Wang |
X Demographics
The data shown below were collected from the profiles of 18 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 | 4 | 22% |
| United Kingdom | 1 | 6% |
| Belgium | 1 | 6% |
| Canada | 1 | 6% |
| Bulgaria | 1 | 6% |
| Switzerland | 1 | 6% |
| Unknown | 9 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 83% |
| Scientists | 2 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 14% |
| Researcher | 7 | 10% |
| Student > Bachelor | 7 | 10% |
| Unspecified | 4 | 6% |
| Student > Ph. D. Student | 4 | 6% |
| Other | 8 | 11% |
| Unknown | 31 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 7 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 8% |
| Biochemistry, Genetics and Molecular Biology | 6 | 8% |
| Medicine and Dentistry | 5 | 7% |
| Unspecified | 4 | 6% |
| Other | 11 | 15% |
| Unknown | 32 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 11 February 2024.
All research outputs
#1,999,851
of 26,112,783 outputs
Outputs from Frontiers in Pharmacology
#816
of 20,118 outputs
Outputs of similar age
#51,610
of 407,097 outputs
Outputs of similar age from Frontiers in Pharmacology
#30
of 499 outputs
Altmetric has tracked 26,112,783 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 20,118 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 95% 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 407,097 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 87% of its contemporaries.
We're also able to compare this research output to 499 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 93% of its contemporaries.