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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Composition, Clinical Efficiency, and Mechanism of NHC-Approved “Three Chinese Medicines and Three Chinese Recipes” for COVID-19 Treatment
|
|---|---|
| Published in |
Frontiers in Pharmacology, February 2022
|
| DOI | 10.3389/fphar.2021.781090 |
| Pubmed ID | |
| Authors |
Ke-Yao Xia, Zeyuan Zhao, Taif Shah, Jing-Yi Wang, Zulqarnain Baloch |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hong Kong | 1 | 8% |
| Switzerland | 1 | 8% |
| Unknown | 11 | 85% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 77% |
| Science communicators (journalists, bloggers, editors) | 2 | 15% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 20% |
| Professor | 1 | 10% |
| Unspecified | 1 | 10% |
| Student > Bachelor | 1 | 10% |
| Student > Ph. D. Student | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 4 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 2 | 20% |
| Unspecified | 1 | 10% |
| Environmental Science | 1 | 10% |
| Engineering | 1 | 10% |
| Unknown | 5 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 01 December 2022.
All research outputs
#5,263,466
of 24,916,485 outputs
Outputs from Frontiers in Pharmacology
#2,492
of 19,047 outputs
Outputs of similar age
#125,446
of 515,034 outputs
Outputs of similar age from Frontiers in Pharmacology
#138
of 1,229 outputs
Altmetric has tracked 24,916,485 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 19,047 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 86% 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 515,034 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 75% of its contemporaries.
We're also able to compare this research output to 1,229 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.