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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying roles of “Jun-Chen-Zuo-Shi” component herbs of QiShenYiQi formula in treating acute myocardial ischemia by network pharmacology
|
|---|---|
| Published in |
Chinese Medicine, September 2014
|
| DOI | 10.1186/1749-8546-9-24 |
| Pubmed ID | |
| Authors |
Leihong Wu, Yi Wang, Zheng Li, Boli Zhang, Yiyu Cheng, Xiaohui Fan |
| Abstract |
The role of "Jun-Chen-Zuo-Shi" (also known as "sovereign-minister-assistant-courier") component herbs of Chinese medicine is not fully understood. This study aims to test the "Jun-Chen-Zuo-Shi" rule with the QiShenYiQi formula (QSYQ) on treating acute myocardial ischemia (AMI) by a network pharmacology approach. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 4% |
| Unknown | 26 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 19% |
| Student > Ph. D. Student | 3 | 11% |
| Researcher | 3 | 11% |
| Student > Master | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Other | 7 | 26% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 37% |
| Biochemistry, Genetics and Molecular Biology | 3 | 11% |
| Chemistry | 2 | 7% |
| Agricultural and Biological Sciences | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 6 | 22% |
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 25 October 2014.
All research outputs
#19,944,994
of 25,374,647 outputs
Outputs from Chinese Medicine
#404
of 660 outputs
Outputs of similar age
#169,507
of 246,371 outputs
Outputs of similar age from Chinese Medicine
#3
of 6 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 660 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 35th percentile – i.e., 35% 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 246,371 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.