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Necessity for detection of SARS-CoV-2 RNA in multiple types of specimens for the discharge of the patients with COVID-19

Overview of attention for article published in Journal of Translational Medicine, November 2020
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2 X users

Citations

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Readers on

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63 Mendeley
Title
Necessity for detection of SARS-CoV-2 RNA in multiple types of specimens for the discharge of the patients with COVID-19
Published in
Journal of Translational Medicine, November 2020
DOI 10.1186/s12967-020-02580-w
Pubmed ID
Authors

Yongqing Tong, Anyu Bao, Hongbing Chen, Jingtao Huang, Zhihua Lv, Lina Feng, Yun Cheng, Youna Wang, Li Bai, Wenlong Rao, Hongyun Zheng, Zegang Wu, Bin Qiao, Zhijun Zhao, Huiming Wang, Yan Li

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

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 22%
Other 5 8%
Student > Master 5 8%
Student > Bachelor 5 8%
Student > Ph. D. Student 2 3%
Other 8 13%
Unknown 24 38%
Readers by discipline Count As %
Medicine and Dentistry 9 14%
Nursing and Health Professions 7 11%
Biochemistry, Genetics and Molecular Biology 5 8%
Agricultural and Biological Sciences 4 6%
Immunology and Microbiology 3 5%
Other 11 17%
Unknown 24 38%
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 26 January 2024.
All research outputs
#20,029,153
of 25,482,409 outputs
Outputs from Journal of Translational Medicine
#3,218
of 4,661 outputs
Outputs of similar age
#319,478
of 441,666 outputs
Outputs of similar age from Journal of Translational Medicine
#72
of 103 outputs
Altmetric has tracked 25,482,409 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,661 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 26th percentile – i.e., 26% 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 441,666 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.