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Molecular characterization of human coronaviruses and their circulation dynamics in Kenya, 2009–2012

Overview of attention for article published in Virology Journal, February 2016
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  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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7 X users

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Title
Molecular characterization of human coronaviruses and their circulation dynamics in Kenya, 2009–2012
Published in
Virology Journal, February 2016
DOI 10.1186/s12985-016-0474-x
Pubmed ID
Authors

Lenata A. Sipulwa, Juliette R. Ongus, Rodney L. Coldren, Wallace D. Bulimo

Abstract

Human Coronaviruses (HCoV) are a common cause of respiratory illnesses and are responsible for considerable morbidity and hospitalization across all age groups especially in individuals with compromised immunity. There are six known species of HCoV: HCoV-229E, HCoV-NL63, HCoV-HKU1, HCoV-OC43, MERS-CoV and SARS-HCoV. Although studies have shown evidence of global distribution of HCoVs, there is limited information on their presence and distribution in Kenya. HCoV strains that circulated in Kenya were retrospectively diagnosed and molecularly characterized. A total of 417 nasopharyngeal specimens obtained between January 2009 and December 2012 from around Kenya were analyzed by a real time RT-PCR using HCoV-specific primers. HCoV-positive specimens were subsequently inoculated onto monolayers of LL-CMK2 cells. The isolated viruses were characterized by RT-PCR amplification and sequencing of the partial polymerase (pol) gene. The prevalence of HCoV infection was as follows: out of the 417 specimens, 35 (8.4 %) were positive for HCoV, comprising 10 (2.4 %) HCoV-NL63, 12 (2.9 %) HCoV-OC43, 9 (2.1 %) HCoV-HKU1, and 4 (1 %) HCoV-229E. The Kenyan HCoV strains displayed high sequence homology to the prototypes and contemporaneous strains. Evolution analysis showed that the Kenyan HCoV-OC43 and HCoV-NL63 isolates were under purifying selection. Phylogenetic evolutionary analyses confirmed the identities of three HCoV-HKU1, five HCoV-NL63, eight HCoV-OC43 and three HCoV-229E. There were yearly variations in the prevalence and circulation patterns of individual HCoVs in Kenya. This paper reports on the first molecular characterization of human Coronaviruses in Kenya, which play an important role in causing acute respiratory infections among children.

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X Demographics

The data shown below were collected from the profiles of 7 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 19%
Researcher 6 16%
Student > Master 5 14%
Student > Doctoral Student 4 11%
Student > Postgraduate 4 11%
Other 6 16%
Unknown 5 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 22%
Medicine and Dentistry 4 11%
Veterinary Science and Veterinary Medicine 3 8%
Immunology and Microbiology 3 8%
Nursing and Health Professions 2 5%
Other 9 24%
Unknown 8 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 22 April 2020.
All research outputs
#6,471,948
of 25,262,379 outputs
Outputs from Virology Journal
#667
of 3,379 outputs
Outputs of similar age
#97,751
of 409,540 outputs
Outputs of similar age from Virology Journal
#9
of 45 outputs
Altmetric has tracked 25,262,379 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,379 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.7. This one has done well, scoring higher than 80% 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 409,540 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 45 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.