↓ Skip to main content

COVID-19 Case Detection: Cuba's Active Screening Approach.

Overview of attention for article published in MEDICC Review, January 2020
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#38 of 218)
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
115 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
COVID-19 Case Detection: Cuba's Active Screening Approach.
Published in
MEDICC Review, January 2020
DOI 10.37757/mr2020.v22.n2.16
Pubmed ID
Authors

Conner Gorry

Abstract

Meningitis, neuropathy, HIV, dengue-since the 1960s, Cuba has faced its share of epidemics. More recently, Cuban health pro-fessionals tackled domestic outbreaks of H1N1 (2009) and Zika (2016), and worked alongside colleagues from around the world to stem Ebola in West Africa; all three were categorized by WHO as public health emergencies of international concern. In December 2019, China reported its fi rst cluster of pneumo-nia cases, later identifi ed as the novel coronavirus disease COVID-19. In January 2020, Cuban authorities convened a multi-sector working group coordinated by the Ministry of Pub-lic Health (MINSAP) and Civil Defense to tailor its national epi-demic control plan to confront the rapidly-spreading disease. The plan features a national reporting system and database, with standard protocols including early case detection, contact tracing and regularly-scheduled public health messaging. In late January, no fewer than six ministries, plus the National Sports and Recreation Institute, Customs, Immigration and national media outlets, came together to adapt domestic proto-cols and design multi-phase control and response mechanisms to combat the SARS-CoV-2 virus.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 > Master 18 16%
Student > Bachelor 17 15%
Researcher 11 10%
Other 8 7%
Student > Doctoral Student 8 7%
Other 20 17%
Unknown 33 29%
Readers by discipline Count As %
Medicine and Dentistry 36 31%
Nursing and Health Professions 13 11%
Neuroscience 4 3%
Agricultural and Biological Sciences 4 3%
Biochemistry, Genetics and Molecular Biology 4 3%
Other 19 17%
Unknown 35 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 17 October 2022.
All research outputs
#4,839,027
of 25,387,668 outputs
Outputs from MEDICC Review
#38
of 218 outputs
Outputs of similar age
#107,455
of 473,401 outputs
Outputs of similar age from MEDICC Review
#6
of 18 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 218 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done well, scoring higher than 82% 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 473,401 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 76% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.