↓ Skip to main content

Identification of Serum-Based Metabolic Feature and Characteristic Metabolites in Paraquat Intoxicated Mouse Models

Overview of attention for article published in Frontiers in Physiology, February 2020
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
15 Mendeley
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.
Title
Identification of Serum-Based Metabolic Feature and Characteristic Metabolites in Paraquat Intoxicated Mouse Models
Published in
Frontiers in Physiology, February 2020
DOI 10.3389/fphys.2020.00065
Pubmed ID
Authors

Youjia Yu, Zishan Gao, Jiaqian Lou, Zhengsheng Mao, Kai Li, Chunyan Chu, Li Hu, Zheng Li, Chuwei Deng, Hanting Fan, Peng Chen, Huijie Huang, Yanfang Yu, Jingjing Ding, Ding Li, Feng Chen

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 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 > Master 5 33%
Student > Doctoral Student 2 13%
Student > Ph. D. Student 2 13%
Lecturer 1 7%
Researcher 1 7%
Other 0 0%
Unknown 4 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 13%
Agricultural and Biological Sciences 2 13%
Nursing and Health Professions 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Medicine and Dentistry 1 7%
Other 1 7%
Unknown 7 47%
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 03 March 2020.
All research outputs
#18,712,246
of 23,192,960 outputs
Outputs from Frontiers in Physiology
#8,314
of 13,951 outputs
Outputs of similar age
#328,845
of 449,690 outputs
Outputs of similar age from Frontiers in Physiology
#206
of 331 outputs
Altmetric has tracked 23,192,960 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,951 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 31st percentile – i.e., 31% 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 449,690 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 331 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.