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.
X Demographics
Mendeley readers
Attention Score in Context
Title |
In silico Identification and Mechanism Exploration of Hepatotoxic Ingredients in Traditional Chinese Medicine
|
---|---|
Published in |
Frontiers in Pharmacology, May 2019
|
DOI | 10.3389/fphar.2019.00458 |
Pubmed ID | |
Authors |
Qihui Wu, Chuipu Cai, Pengfei Guo, Meiling Chen, Xiaoqin Wu, Jingwei Zhou, Yunxia Luo, Yidan Zou, Ai-lin Liu, Qi Wang, Zaoyuan Kuang, Jiansong Fang |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 18% |
Mexico | 1 | 9% |
Austria | 1 | 9% |
Unknown | 7 | 64% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 64% |
Scientists | 3 | 27% |
Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 39 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 18% |
Student > Master | 5 | 13% |
Student > Postgraduate | 4 | 10% |
Professor | 4 | 10% |
Student > Ph. D. Student | 3 | 8% |
Other | 6 | 15% |
Unknown | 10 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 15% |
Biochemistry, Genetics and Molecular Biology | 6 | 15% |
Pharmacology, Toxicology and Pharmaceutical Science | 4 | 10% |
Computer Science | 2 | 5% |
Chemistry | 2 | 5% |
Other | 5 | 13% |
Unknown | 14 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 02 June 2019.
All research outputs
#6,490,452
of 25,603,577 outputs
Outputs from Frontiers in Pharmacology
#2,806
of 19,975 outputs
Outputs of similar age
#110,433
of 363,550 outputs
Outputs of similar age from Frontiers in Pharmacology
#107
of 372 outputs
Altmetric has tracked 25,603,577 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 19,975 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 85% 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 363,550 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 69% of its contemporaries.
We're also able to compare this research output to 372 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 71% of its contemporaries.