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The complete mitochondrial genome of the threatened Neotropical catfish Lophiosilurus alexandri (Silurifomes: Pseudopimelodidae) and phylogenomic analysis indicate monophyly of Pimelodoidea

Overview of attention for article published in Genetics and Molecular Biology, September 2016
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Title
The complete mitochondrial genome of the threatened Neotropical catfish Lophiosilurus alexandri (Silurifomes: Pseudopimelodidae) and phylogenomic analysis indicate monophyly of Pimelodoidea
Published in
Genetics and Molecular Biology, September 2016
DOI 10.1590/1678-4685-gmb-2016-0007
Pubmed ID
Authors

Daniel Cardoso Carvalho, Violeta da Rocha Perini, Alex Schomaker Bastos, Igor Rodrigues da Costa, Ronald Kennedy Luz, Carolina Furtado, Francisco Prosdocimi

Abstract

Lophiosilurus alexandri is an endemic catfish from the São Francisco River Basin (Brazil) popularly known as pacamã, which has economic potential for aquaculture farming. The mitochondrial genome was sequenced for the threatened Neotropical catfish L. alexandri. Assembly into scaffolds using MIRA and MITObim software produced the whole, circularized mitochondrial genome, which comprises 16,445 bp and presents the typical gene arrangement of Teleostei mitochondria. A phylogenomic analysis was performed after the concatenation of all proteins obtained from whole mitogenomes of 20 Siluriformes and two outgroups. The results confirmed the monophyly of nine families of catfishes and also clustered L. alexandri as a sister group to the family Pimelodidae, thus confirming the monophyly of the superfamily Pimelodoidea. This is the first mitochondrial phylogenomics study for Pimelodoidea and the first mitogenome described for the Pseudopimelodidae family, representing an important resource for phylogeography, evolutionary biology, and conservation genetics studies in Neotropical fishes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 17%
Researcher 3 10%
Student > Bachelor 3 10%
Other 2 7%
Student > Doctoral Student 2 7%
Other 3 10%
Unknown 11 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 38%
Biochemistry, Genetics and Molecular Biology 4 14%
Unspecified 1 3%
Computer Science 1 3%
Chemistry 1 3%
Other 0 0%
Unknown 11 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 September 2016.
All research outputs
#16,047,334
of 25,373,627 outputs
Outputs from Genetics and Molecular Biology
#344
of 771 outputs
Outputs of similar age
#193,621
of 328,302 outputs
Outputs of similar age from Genetics and Molecular Biology
#5
of 9 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 771 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 51% 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 328,302 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.