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Extracellular vesicles as potential biomarkers and therapeutic approaches in autoimmune diseases

Overview of attention for article published in Journal of Translational Medicine, November 2020
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Readers on

mendeley
62 Mendeley
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Title
Extracellular vesicles as potential biomarkers and therapeutic approaches in autoimmune diseases
Published in
Journal of Translational Medicine, November 2020
DOI 10.1186/s12967-020-02609-0
Pubmed ID
Authors

Kaiyuan Xu, Qin Liu, Kaihui Wu, Liu Liu, Maomao Zhao, Hui Yang, Xiang Wang, Wenmei Wang

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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 18%
Student > Bachelor 6 10%
Student > Master 5 8%
Researcher 5 8%
Other 2 3%
Other 3 5%
Unknown 30 48%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 19%
Agricultural and Biological Sciences 4 6%
Medicine and Dentistry 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Neuroscience 2 3%
Other 3 5%
Unknown 34 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 March 2022.
All research outputs
#17,345,186
of 25,837,817 outputs
Outputs from Journal of Translational Medicine
#2,398
of 4,712 outputs
Outputs of similar age
#265,118
of 436,956 outputs
Outputs of similar age from Journal of Translational Medicine
#47
of 93 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,712 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one is in the 42nd percentile – i.e., 42% 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 436,956 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.