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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deciphering the Pharmacological Mechanisms of the Huayu-Qiangshen-Tongbi Formula Through Integrating Network Pharmacology and In Vitro Pharmacological Investigation
|
|---|---|
| Published in |
Frontiers in Pharmacology, September 2019
|
| DOI | 10.3389/fphar.2019.01065 |
| Pubmed ID | |
| Authors |
Zihao Wang, Ke-Gang Linghu, Yuanjia Hu, Huali Zuo, Hao Yi, Shi-Hang Xiong, Jinjian Lu, Ging Chan, Hua Yu, Run-Yue Huang |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 14% |
| Ecuador | 1 | 14% |
| Papua New Guinea | 1 | 14% |
| Austria | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 33% |
| Professor | 1 | 8% |
| Researcher | 1 | 8% |
| Unknown | 6 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
| Agricultural and Biological Sciences | 1 | 8% |
| Computer Science | 1 | 8% |
| Economics, Econometrics and Finance | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 7 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 05 October 2019.
All research outputs
#7,280,405
of 23,164,913 outputs
Outputs from Frontiers in Pharmacology
#3,090
of 16,557 outputs
Outputs of similar age
#129,250
of 344,835 outputs
Outputs of similar age from Frontiers in Pharmacology
#140
of 413 outputs
Altmetric has tracked 23,164,913 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 16,557 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 81% 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 344,835 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 62% of its contemporaries.
We're also able to compare this research output to 413 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 64% of its contemporaries.