The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
Title |
Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment
|
---|---|
Published in |
Frontiers in Pharmacology, February 2019
|
DOI | 10.3389/fphar.2019.00123 |
Pubmed ID | |
Authors |
Runzhi Zhang, Xue Zhu, Hong Bai, Kang Ning |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 7% |
United Kingdom | 1 | 7% |
Unknown | 12 | 86% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 64% |
Practitioners (doctors, other healthcare professionals) | 3 | 21% |
Science communicators (journalists, bloggers, editors) | 1 | 7% |
Scientists | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 400 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 400 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 37 | 9% |
Student > Master | 31 | 8% |
Researcher | 25 | 6% |
Student > Bachelor | 25 | 6% |
Student > Doctoral Student | 17 | 4% |
Other | 66 | 17% |
Unknown | 199 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 42 | 11% |
Pharmacology, Toxicology and Pharmaceutical Science | 42 | 11% |
Agricultural and Biological Sciences | 27 | 7% |
Medicine and Dentistry | 16 | 4% |
Unspecified | 14 | 4% |
Other | 45 | 11% |
Unknown | 214 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 January 2023.
All research outputs
#2,323,646
of 26,420,475 outputs
Outputs from Frontiers in Pharmacology
#1,009
of 20,450 outputs
Outputs of similar age
#50,071
of 369,932 outputs
Outputs of similar age from Frontiers in Pharmacology
#29
of 370 outputs
Altmetric has tracked 26,420,475 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,450 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 95% 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 369,932 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 86% of its contemporaries.
We're also able to compare this research output to 370 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.