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Identification of key biomarkers and immune infiltration in systemic lupus erythematosus by integrated bioinformatics analysis

Overview of attention for article published in Journal of Translational Medicine, January 2021
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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105 Dimensions

Readers on

mendeley
55 Mendeley
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Title
Identification of key biomarkers and immune infiltration in systemic lupus erythematosus by integrated bioinformatics analysis
Published in
Journal of Translational Medicine, January 2021
DOI 10.1186/s12967-020-02698-x
Pubmed ID
Authors

Xingwang Zhao, Longlong Zhang, Juan Wang, Min Zhang, Zhiqiang Song, Bing Ni, Yi You

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 13%
Student > Bachelor 7 13%
Researcher 5 9%
Student > Doctoral Student 2 4%
Student > Ph. D. Student 2 4%
Other 4 7%
Unknown 28 51%
Readers by discipline Count As %
Medicine and Dentistry 8 15%
Biochemistry, Genetics and Molecular Biology 4 7%
Immunology and Microbiology 4 7%
Agricultural and Biological Sciences 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 4 7%
Unknown 31 56%
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 22 January 2021.
All research outputs
#15,664,272
of 23,274,744 outputs
Outputs from Journal of Translational Medicine
#2,300
of 4,104 outputs
Outputs of similar age
#304,774
of 503,044 outputs
Outputs of similar age from Journal of Translational Medicine
#45
of 91 outputs
Altmetric has tracked 23,274,744 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,104 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. 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 503,044 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.