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Identification of Potential Early Diagnostic Biomarkers of Sepsis

Overview of attention for article published in Journal of Inflammation Research, March 2021
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Mentioned by

twitter
3 tweeters

Readers on

mendeley
1 Mendeley
Title
Identification of Potential Early Diagnostic Biomarkers of Sepsis
Published in
Journal of Inflammation Research, March 2021
DOI 10.2147/jir.s298604
Authors

Zhenhua Li, Bin Huang, Wenfeng Yi, Fei Wang, Shizhuang Wei, Huaixing Yan, Pan Qin, Donghua Zou, Rongguo Wei, Nian Chen

Twitter Demographics

The data shown below were collected from the profiles of 3 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 100%
Readers by discipline Count As %
Nursing and Health Professions 1 100%

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 03 March 2021.
All research outputs
#13,335,415
of 17,389,828 outputs
Outputs from Journal of Inflammation Research
#128
of 209 outputs
Outputs of similar age
#174,393
of 256,905 outputs
Outputs of similar age from Journal of Inflammation Research
#5
of 6 outputs
Altmetric has tracked 17,389,828 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 209 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. 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 256,905 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.