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Mare-MAGE curated reference database of fish mitochondrial genes

Overview of attention for article published in BMC Genomic Data, March 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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Title
Mare-MAGE curated reference database of fish mitochondrial genes
Published in
BMC Genomic Data, March 2023
DOI 10.1186/s12863-023-01119-4
Pubmed ID
Authors

Yassine Kasmi, Erik Eschbach, Reinhold Hanel

Abstract

Biodiversity assessment approaches based on molecular biology techniques such as metabarcoding, RAD-seq, or SnaPshot sequencing are increasingly applied in assessing marine and aquatic ecosystems. Here we present a new reference database for fish meta-barcoding based on mitochondrial genes. The Mare-MAGE database contains quality-checked sequences of the mitochondrial 12S ribosomal RNA and Cytochrome c Oxidase I gene. All sequences were obtained from the National Center for Biotechnology Information- GenBank (NBCI-GenBank), the European Nucleotide Archive (ENA), AquaGene Database and BOLD database, and have undergone intensive processing. They were checked for false annotations and non-target anomalies, according to the Integrated Taxonomic Information System (ITIS) and FishBase. The dataset is compiled in ARB-Home, FASTA and Qiime2 formats, and is publicly available from the Mare-MAGE database website ( http://mare-mage.weebly.com/ ). It includes altogether 231,333 COI and 12S rRNA gene sequences of fish, covering 19,506 species of 4,058 genera and 586 families.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Researcher 3 13%
Student > Master 3 13%
Student > Bachelor 1 4%
Student > Doctoral Student 1 4%
Other 0 0%
Unknown 11 48%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 17%
Biochemistry, Genetics and Molecular Biology 3 13%
Environmental Science 2 9%
Social Sciences 1 4%
Unknown 13 57%
Attention Score in Context

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 06 April 2023.
All research outputs
#14,775,302
of 25,651,057 outputs
Outputs from BMC Genomic Data
#435
of 1,210 outputs
Outputs of similar age
#180,208
of 437,486 outputs
Outputs of similar age from BMC Genomic Data
#3
of 15 outputs
Altmetric has tracked 25,651,057 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,210 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 62% 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 437,486 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 57% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.