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Dynamic changes in lymphocyte subsets and parallel cytokine levels in patients with severe and critical COVID-19

Overview of attention for article published in BMC Infectious Diseases, January 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
68 Mendeley
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Title
Dynamic changes in lymphocyte subsets and parallel cytokine levels in patients with severe and critical COVID-19
Published in
BMC Infectious Diseases, January 2021
DOI 10.1186/s12879-021-05792-7
Pubmed ID
Authors

Yangli Liu, Weiping Tan, Haihong Chen, Ying Zhu, Li Wan, Ke Jiang, Yubiao Guo, Kejing Tang, Canmao Xie, Hui Yi, Yukun Kuang, Yifeng Luo

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

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 15%
Student > Postgraduate 5 7%
Student > Ph. D. Student 5 7%
Researcher 4 6%
Other 3 4%
Other 10 15%
Unknown 31 46%
Readers by discipline Count As %
Medicine and Dentistry 17 25%
Immunology and Microbiology 6 9%
Biochemistry, Genetics and Molecular Biology 5 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Environmental Science 2 3%
Other 4 6%
Unknown 31 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 April 2021.
All research outputs
#2,759,307
of 23,274,744 outputs
Outputs from BMC Infectious Diseases
#870
of 7,790 outputs
Outputs of similar age
#77,748
of 502,444 outputs
Outputs of similar age from BMC Infectious Diseases
#21
of 167 outputs
Altmetric has tracked 23,274,744 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,790 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done well, scoring higher than 88% 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 502,444 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 167 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.