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Novel biomarkers for early prediction of sepsis-induced disseminated intravascular coagulation in a mouse cecal ligation and puncture model

Overview of attention for article published in Journal of Inflammation, March 2013
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
3 patents

Readers on

mendeley
27 Mendeley
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Title
Novel biomarkers for early prediction of sepsis-induced disseminated intravascular coagulation in a mouse cecal ligation and puncture model
Published in
Journal of Inflammation, March 2013
DOI 10.1186/1476-9255-10-7
Pubmed ID
Authors

Jingchun Song, Dunzhong Hu, Chao He, Tao Wang, Xuefeng Liu, Linhao Ma, Zhaofen Lin, Zili Chen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Student > Master 5 19%
Researcher 4 15%
Lecturer 1 4%
Student > Doctoral Student 1 4%
Other 5 19%
Unknown 6 22%
Readers by discipline Count As %
Medicine and Dentistry 8 30%
Immunology and Microbiology 4 15%
Agricultural and Biological Sciences 4 15%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Computer Science 2 7%
Other 2 7%
Unknown 5 19%
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 07 March 2023.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Journal of Inflammation
#108
of 425 outputs
Outputs of similar age
#71,102
of 207,751 outputs
Outputs of similar age from Journal of Inflammation
#4
of 7 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 425 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 65% 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 207,751 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.