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Risk prediction for severe disease and better diagnostic accuracy in early dengue infection; the Colombo dengue study

Overview of attention for article published in BMC Infectious Diseases, August 2019
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3 X users

Citations

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103 Mendeley
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Title
Risk prediction for severe disease and better diagnostic accuracy in early dengue infection; the Colombo dengue study
Published in
BMC Infectious Diseases, August 2019
DOI 10.1186/s12879-019-4304-9
Pubmed ID
Authors

Ponsuge Chathurani Sigera, Ranmalee Amarasekara, Chaturaka Rodrigo, Senaka Rajapakse, Praveen Weeratunga, Nipun Lakshita De Silva, Chun Hong Huang, Malaya K. Sahoo, Benjamin A. Pinsky, Dylan R. Pillai, Hasitha A. Tissera, Saroj Jayasinghe, Shiroma Handunnetti, Sumadhya D. Fernando

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

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 13%
Student > Bachelor 12 12%
Student > Master 10 10%
Lecturer 6 6%
Student > Postgraduate 6 6%
Other 17 17%
Unknown 39 38%
Readers by discipline Count As %
Medicine and Dentistry 28 27%
Biochemistry, Genetics and Molecular Biology 7 7%
Immunology and Microbiology 7 7%
Nursing and Health Professions 5 5%
Agricultural and Biological Sciences 4 4%
Other 10 10%
Unknown 42 41%
Attention Score in Context

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 08 October 2019.
All research outputs
#18,151,354
of 23,317,888 outputs
Outputs from BMC Infectious Diseases
#5,220
of 7,806 outputs
Outputs of similar age
#243,473
of 347,411 outputs
Outputs of similar age from BMC Infectious Diseases
#116
of 173 outputs
Altmetric has tracked 23,317,888 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,806 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 26th percentile – i.e., 26% 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 347,411 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.