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Uncovering the Complexity Mechanism of Different Formulas Treatment for Rheumatoid Arthritis Based on a Novel Network Pharmacology Model

Overview of attention for article published in Frontiers in Pharmacology, July 2020
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Mentioned by

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1 X user

Citations

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36 Dimensions

Readers on

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15 Mendeley
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Title
Uncovering the Complexity Mechanism of Different Formulas Treatment for Rheumatoid Arthritis Based on a Novel Network Pharmacology Model
Published in
Frontiers in Pharmacology, July 2020
DOI 10.3389/fphar.2020.01035
Pubmed ID
Authors

Ke-xin Wang, Yao Gao, Cheng Lu, Yao Li, Bo-ya Zhou, Xue-mei Qin, Guan-hua Du, Li Gao, Dao-gang Guan, Ai-ping Lu

X Demographics

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 13%
Student > Doctoral Student 2 13%
Lecturer 1 7%
Researcher 1 7%
Professor > Associate Professor 1 7%
Other 0 0%
Unknown 8 53%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 27%
Computer Science 1 7%
Immunology and Microbiology 1 7%
Social Sciences 1 7%
Unknown 8 53%
Attention Score in Context

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 16 August 2020.
All research outputs
#20,637,315
of 23,230,825 outputs
Outputs from Frontiers in Pharmacology
#10,441
of 16,658 outputs
Outputs of similar age
#339,931
of 397,211 outputs
Outputs of similar age from Frontiers in Pharmacology
#268
of 437 outputs
Altmetric has tracked 23,230,825 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 16,658 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 397,211 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 437 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.