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Application of metabolomics in viral pneumonia treatment with traditional Chinese medicine

Overview of attention for article published in Chinese Medicine, March 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
4 X users
facebook
1 Facebook page

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
28 Mendeley
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Title
Application of metabolomics in viral pneumonia treatment with traditional Chinese medicine
Published in
Chinese Medicine, March 2019
DOI 10.1186/s13020-019-0229-x
Pubmed ID
Authors

Lili Lin, Hua Yan, Jiabin Chen, Huihui Xie, Linxiu Peng, Tong Xie, Xia Zhao, Shouchuan Wang, Jinjun Shan

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 18%
Student > Master 4 14%
Student > Doctoral Student 2 7%
Student > Bachelor 2 7%
Professor 2 7%
Other 3 11%
Unknown 10 36%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 5 18%
Medicine and Dentistry 5 18%
Agricultural and Biological Sciences 3 11%
Immunology and Microbiology 1 4%
Nursing and Health Professions 1 4%
Other 2 7%
Unknown 11 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 October 2022.
All research outputs
#14,815,657
of 25,706,302 outputs
Outputs from Chinese Medicine
#203
of 673 outputs
Outputs of similar age
#183,203
of 365,775 outputs
Outputs of similar age from Chinese Medicine
#3
of 8 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 673 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 68% 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 365,775 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.