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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deciphering the Pharmacological Mechanisms of Ma Xing Shi Gan Decoction against COVID-19 through Integrating Network Pharmacology and Experimental Exploration
|
|---|---|
| Published in |
Frontiers in Pharmacology, November 2020
|
| DOI | 10.3389/fphar.2020.581691 |
| Pubmed ID | |
| Authors |
Qianqian Li, Chen Bai, Ruocong Yang, Weiying Xing, Xiaohan Pang, Siying Wu, Shaoyang Liu, Jianxin Chen, Tiegang Liu, Xiaohong Gu |
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 % |
|---|---|---|
| Indonesia | 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 11 | 23% |
| Student > Ph. D. Student | 4 | 9% |
| Researcher | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Student > Postgraduate | 3 | 6% |
| Other | 8 | 17% |
| Unknown | 15 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 9 | 19% |
| Medicine and Dentistry | 5 | 11% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Immunology and Microbiology | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Other | 10 | 21% |
| Unknown | 15 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 28 November 2022.
All research outputs
#2,882,376
of 23,206,358 outputs
Outputs from Frontiers in Pharmacology
#1,158
of 16,617 outputs
Outputs of similar age
#80,732
of 508,436 outputs
Outputs of similar age from Frontiers in Pharmacology
#43
of 423 outputs
Altmetric has tracked 23,206,358 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,617 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 92% 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 508,436 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 423 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.