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Efficient Prediction and Analysis of the possible evolution of the SARS-CoV-2 in COVID-19 applying the SEIR model in Santo Domingo de los Tsáchilas, Ecuador

Overview of attention for article published in Enfoque UTE, October 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Readers on

mendeley
7 Mendeley
Title
Efficient Prediction and Analysis of the possible evolution of the SARS-CoV-2 in COVID-19 applying the SEIR model in Santo Domingo de los Tsáchilas, Ecuador
Published in
Enfoque UTE, October 2020
DOI 10.29019/enfoqueute.v11n4.678
Authors

Moisés Filiberto Mora Murillo, Walter Alfredo Mora Murillo, Digvijay Pandey

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 14%
Researcher 1 14%
Student > Postgraduate 1 14%
Other 1 14%
Unknown 3 43%
Readers by discipline Count As %
Computer Science 2 29%
Nursing and Health Professions 1 14%
Psychology 1 14%
Unknown 3 43%

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 29 November 2020.
All research outputs
#12,899,862
of 19,519,615 outputs
Outputs from Enfoque UTE
#9
of 18 outputs
Outputs of similar age
#282,131
of 468,992 outputs
Outputs of similar age from Enfoque UTE
#1
of 1 outputs
Altmetric has tracked 19,519,615 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 18 research outputs from this source. They receive a mean Attention Score of 2.0. This one scored the same or higher as 9 of them.
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 468,992 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them