| Title |
Integrating Network Pharmacology and Component Analysis to Study the Potential Mechanisms of Qi-Fu-Yin Decoction in Treating Alzheimer’s Disease
|
|---|---|
| Published in |
Drug Design, Development and Therapy, September 2023
|
| DOI | 10.2147/dddt.s402624 |
| Pubmed ID | |
| Authors |
Xia Lei, Hongdan Xu, Yan Wang, Hainan Gao, Deping Zhao, Jinfeng Zhang, Ziyue Zhu, Kun Zuo, Ying Liu, Xiaoliang Li, Ning Zhang |
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 % |
|---|---|---|
| United States | 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 18% |
| Student > Bachelor | 1 | 9% |
| Lecturer | 1 | 9% |
| Unknown | 7 | 64% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 1 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Neuroscience | 1 | 9% |
| Unknown | 7 | 64% |
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 22 September 2023.
All research outputs
#3,562,853
of 26,181,776 outputs
Outputs from Drug Design, Development and Therapy
#207
of 2,286 outputs
Outputs of similar age
#58,704
of 361,688 outputs
Outputs of similar age from Drug Design, Development and Therapy
#2
of 29 outputs
Altmetric has tracked 26,181,776 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 2,286 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done particularly well, scoring higher than 90% 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 361,688 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 29 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.