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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Multi-omics approaches for in-depth understanding of therapeutic mechanism for Traditional Chinese Medicine
|
---|---|
Published in |
Frontiers in Pharmacology, November 2022
|
DOI | 10.3389/fphar.2022.1031051 |
Pubmed ID | |
Authors |
Xue Zhu, Qi Yao, Pengshuo Yang, Dan Zhao, Ronghua Yang, Hong Bai, Kang Ning |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 15% |
Unspecified | 1 | 8% |
Professor > Associate Professor | 1 | 8% |
Lecturer | 1 | 8% |
Other | 1 | 8% |
Other | 0 | 0% |
Unknown | 7 | 54% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 1 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
Business, Management and Accounting | 1 | 8% |
Nursing and Health Professions | 1 | 8% |
Medicine and Dentistry | 1 | 8% |
Other | 1 | 8% |
Unknown | 7 | 54% |
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 November 2022.
All research outputs
#20,941,392
of 23,577,654 outputs
Outputs from Frontiers in Pharmacology
#10,871
of 17,181 outputs
Outputs of similar age
#361,495
of 453,329 outputs
Outputs of similar age from Frontiers in Pharmacology
#596
of 1,149 outputs
Altmetric has tracked 23,577,654 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 17,181 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 453,329 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 1,149 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.