| Title |
In Silico Prediction of Molecular Targets of Astragaloside IV for Alleviation of COVID-19 Hyperinflammation by Systems Network Pharmacology and Bioinformatic Gene Expression Analysis
|
|---|---|
| Published in |
Frontiers in Pharmacology, September 2020
|
| DOI | 10.3389/fphar.2020.556984 |
| Pubmed ID | |
| Authors |
Chenliang Ge, Yan He |
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 % |
|---|---|---|
| Unknown | 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 21% |
| Researcher | 8 | 14% |
| Student > Doctoral Student | 5 | 9% |
| Student > Master | 4 | 7% |
| Other | 3 | 5% |
| Other | 6 | 11% |
| Unknown | 19 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 12% |
| Biochemistry, Genetics and Molecular Biology | 6 | 11% |
| Agricultural and Biological Sciences | 4 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 7% |
| Nursing and Health Professions | 3 | 5% |
| Other | 14 | 25% |
| Unknown | 19 | 33% |
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 13 October 2020.
All research outputs
#20,653,779
of 23,248,929 outputs
Outputs from Frontiers in Pharmacology
#10,470
of 16,686 outputs
Outputs of similar age
#322,204
of 376,528 outputs
Outputs of similar age from Frontiers in Pharmacology
#250
of 418 outputs
Altmetric has tracked 23,248,929 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,686 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% 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 376,528 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 418 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.