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Single-cell RNA sequencing analysis of lung cells in COVID-19 patients with diabetes, hypertension, and comorbid diabetes-hypertension

Overview of attention for article published in Frontiers in endocrinology, December 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Single-cell RNA sequencing analysis of lung cells in COVID-19 patients with diabetes, hypertension, and comorbid diabetes-hypertension
Published in
Frontiers in endocrinology, December 2023
DOI 10.3389/fendo.2023.1258646
Pubmed ID
Authors

Xin Zhang, Xiaoqian Deng, Liangliang Zhang, Pengbo Wang, Xia Tong, Yan Mo, Yuansheng Zhang, Yan Zhang, Chunheng Mo, Lanlan Zhang

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

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 14%
Researcher 1 14%
Unknown 5 71%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 14%
Medicine and Dentistry 1 14%
Unknown 5 71%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 December 2023.
All research outputs
#15,129,408
of 26,189,645 outputs
Outputs from Frontiers in endocrinology
#3,134
of 13,384 outputs
Outputs of similar age
#144,843
of 380,398 outputs
Outputs of similar age from Frontiers in endocrinology
#84
of 680 outputs
Altmetric has tracked 26,189,645 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,384 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 75% 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 380,398 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 680 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.