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Identification of OP354-like human rotavirus strains with subtype P[8]b in Ghanaian children with diarrhoea

Overview of attention for article published in Virology Journal, April 2016
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  • Above-average Attention Score compared to outputs of the same age (60th percentile)

Mentioned by

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5 tweeters

Citations

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4 Dimensions

Readers on

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25 Mendeley
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Title
Identification of OP354-like human rotavirus strains with subtype P[8]b in Ghanaian children with diarrhoea
Published in
Virology Journal, April 2016
DOI 10.1186/s12985-016-0523-5
Pubmed ID
Authors

Susan Damanka, Francis E. Dennis, Chantal Agbemabiese, Belinda Lartey, Theophilus Adiku, Kofi Nyarko, Christabel C. Enweronu-Laryea, Kwamena W. Sagoe, Michael Ofori, Onike Rodrigues, George E. Armah

Abstract

Rotaviruses with the P[8] genotype have been associated with majority of infections. Recent improvements in molecular diagnostics have delineated the P[8] genotype into P[8]a and P[8]b subtypes. P[8]a is the previously known P[8] genotype which is common whilst P[8]b subtype also known as OP354-like strain is genetically distinct, rarely detected and reported from a few countries. In a previous study, the P-types could not be determined for 80 RVA-positive samples by conventional RT-PCR genotyping methods with the recommended pool of P-genotype specific primers used in the WHO Regional Rotavirus Reference Laboratory in Ghana. The present study employed sequence-dependent cDNA amplification method to genotype previously non-typeable P-types. Viral RNAs were extracted and rotavirus VP4 genes amplified by one step RT-PCR using gene specific primers. PCR amplicons were purified, sequenced and sequences aligned with cognate gene sequences available in GenBank using the ClustalW algorithm. Phylogenetic analysis was performed using the Neighbour-Joining method in MEGA v6.06 software. Phylogenetic tree was statistically supported by bootstrapping with 1000 replicates, and distances calculated using the Kimura-2 parameter model. Of the 80 RVA-positive samples, 57 were successfully sequenced and characterized. Forty-eight of these were identified as P[8] strains of which 5 were characterized as the rare P[8]b subtype. Phylogenetic analysis of the VP8* fragment of the VP4 genes of these P[8]b strains revealed a close relationship with prototype OP354-like P[8]b strain and P[8]b strains of Russian and South African P[8]b origin. The study highlights the importance of regularly updating the primers employed for molecular typing of rotaviruses.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 28%
Student > Master 4 16%
Researcher 4 16%
Professor 1 4%
Other 1 4%
Other 2 8%
Unknown 6 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 20%
Immunology and Microbiology 3 12%
Medicine and Dentistry 3 12%
Agricultural and Biological Sciences 2 8%
Social Sciences 2 8%
Other 5 20%
Unknown 5 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 April 2016.
All research outputs
#8,072,561
of 15,488,552 outputs
Outputs from Virology Journal
#840
of 2,401 outputs
Outputs of similar age
#103,211
of 265,306 outputs
Outputs of similar age from Virology Journal
#1
of 1 outputs
Altmetric has tracked 15,488,552 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,401 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 64% 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 265,306 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
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