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Mechanistic modeling of the SARS-CoV-2 disease map

Overview of attention for article published in BioData Mining, January 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 312)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet
twitter
21 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
70 Mendeley
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Title
Mechanistic modeling of the SARS-CoV-2 disease map
Published in
BioData Mining, January 2021
DOI 10.1186/s13040-021-00234-1
Pubmed ID
Authors

Kinza Rian, Marina Esteban-Medina, Marta R. Hidalgo, Cankut Çubuk, Matias M. Falco, Carlos Loucera, Devrim Gunyel, Marek Ostaszewski, María Peña-Chilet, Joaquín Dopazo

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 23%
Student > Master 13 19%
Student > Ph. D. Student 6 9%
Student > Bachelor 4 6%
Student > Doctoral Student 3 4%
Other 9 13%
Unknown 19 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 24%
Medicine and Dentistry 9 13%
Agricultural and Biological Sciences 6 9%
Engineering 3 4%
Immunology and Microbiology 3 4%
Other 12 17%
Unknown 20 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 05 February 2021.
All research outputs
#1,524,654
of 23,275,636 outputs
Outputs from BioData Mining
#22
of 312 outputs
Outputs of similar age
#44,329
of 503,712 outputs
Outputs of similar age from BioData Mining
#2
of 12 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 312 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 92% 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 503,712 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.