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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting for anti-(mutant) SARS-CoV-2 and anti-inflammation compounds of Lianhua Qingwen Capsules in treating COVID-19
|
|---|---|
| Published in |
Chinese Medicine, July 2022
|
| DOI | 10.1186/s13020-022-00637-0 |
| Pubmed ID | |
| Authors |
Liang Hong, Min He, Shaoping Li, Jing Zhao |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
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 % |
|---|---|---|
| Lecturer | 3 | 30% |
| Researcher | 2 | 20% |
| Other | 1 | 10% |
| Student > Master | 1 | 10% |
| Student > Bachelor | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 30% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 20% |
| Social Sciences | 2 | 20% |
| Agricultural and Biological Sciences | 1 | 10% |
| Unknown | 2 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 July 2022.
All research outputs
#14,614,797
of 25,392,582 outputs
Outputs from Chinese Medicine
#202
of 660 outputs
Outputs of similar age
#181,114
of 437,849 outputs
Outputs of similar age from Chinese Medicine
#7
of 27 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% 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 has gotten more attention than average, scoring higher than 68% 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 437,849 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.