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VEGF-D: a novel biomarker for detection of COVID-19 progression

Overview of attention for article published in Critical Care, June 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
82 Mendeley
Title
VEGF-D: a novel biomarker for detection of COVID-19 progression
Published in
Critical Care, June 2020
DOI 10.1186/s13054-020-03079-y
Pubmed ID
Authors

Yaxian Kong, Junyan Han, Xueying Wu, Hui Zeng, Jingyuan Liu, Henghui Zhang

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 16%
Other 12 15%
Student > Doctoral Student 7 9%
Student > Ph. D. Student 6 7%
Student > Master 6 7%
Other 17 21%
Unknown 21 26%
Readers by discipline Count As %
Medicine and Dentistry 22 27%
Biochemistry, Genetics and Molecular Biology 10 12%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Neuroscience 3 4%
Immunology and Microbiology 3 4%
Other 12 15%
Unknown 29 35%

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 12 December 2021.
All research outputs
#11,037,602
of 20,120,213 outputs
Outputs from Critical Care
#3,926
of 5,685 outputs
Outputs of similar age
#132,262
of 301,774 outputs
Outputs of similar age from Critical Care
#1
of 1 outputs
Altmetric has tracked 20,120,213 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,685 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.0. This one is in the 30th percentile – i.e., 30% 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 301,774 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 55% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them