| Title |
HIF-1α is a Potential Molecular Target for Herbal Medicine to Treat Diseases
|
|---|---|
| Published in |
Drug Design, Development and Therapy, November 2020
|
| DOI | 10.2147/dddt.s274980 |
| Pubmed ID | |
| Authors |
Ruo-Lan Li, Li-Ying He, Qing Zhang, Jia Liu, Feng Lu, Hu-Xin-Yue Duan, Lin-Hong Fan, Wei Peng, Yong-Liang Huang, Chun-Jie Wu |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 14% |
| Researcher | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 17 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 7% |
| Agricultural and Biological Sciences | 2 | 7% |
| Nursing and Health Professions | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 15 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 04 May 2024.
All research outputs
#17,059,489
of 25,843,331 outputs
Outputs from Drug Design, Development and Therapy
#1,033
of 2,284 outputs
Outputs of similar age
#267,163
of 443,182 outputs
Outputs of similar age from Drug Design, Development and Therapy
#13
of 38 outputs
Altmetric has tracked 25,843,331 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 50% 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 443,182 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.