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May the analysis of 1918 influenza pandemic give hints to imagine the possible magnitude of Corona Virus Disease-2019 (COVID-19)?

Overview of attention for article published in Journal of Translational Medicine, December 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
15 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
115 Mendeley
Title
May the analysis of 1918 influenza pandemic give hints to imagine the possible magnitude of Corona Virus Disease-2019 (COVID-19)?
Published in
Journal of Translational Medicine, December 2020
DOI 10.1186/s12967-020-02673-6
Pubmed ID
Authors

Raffaele Scarpa, Francesco Caso, Luisa Costa, Saverio Passavanti, Maria Grazia Vitale, Claudia Trojaniello, Antonio Del Puente, Paolo A. Ascierto

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 115 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 17 15%
Student > Master 11 10%
Researcher 7 6%
Other 6 5%
Student > Ph. D. Student 6 5%
Other 18 16%
Unknown 50 43%
Readers by discipline Count As %
Medicine and Dentistry 23 20%
Nursing and Health Professions 11 10%
Social Sciences 6 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 15 13%
Unknown 53 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 25 January 2023.
All research outputs
#2,754,663
of 24,887,826 outputs
Outputs from Journal of Translational Medicine
#474
of 4,503 outputs
Outputs of similar age
#73,624
of 517,169 outputs
Outputs of similar age from Journal of Translational Medicine
#24
of 99 outputs
Altmetric has tracked 24,887,826 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,503 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done well, scoring higher than 89% 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 517,169 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.