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Transcriptome sequencing and annotation of the polychaete Hermodice carunculata (Annelida, Amphinomidae)

Overview of attention for article published in BMC Genomics, June 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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4 X users
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1 Wikipedia page

Citations

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23 Dimensions

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77 Mendeley
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Title
Transcriptome sequencing and annotation of the polychaete Hermodice carunculata (Annelida, Amphinomidae)
Published in
BMC Genomics, June 2015
DOI 10.1186/s12864-015-1565-6
Pubmed ID
Authors

Shaadi Mehr, Aida Verdes, Rob DeSalle, John Sparks, Vincent Pieribone, David F Gruber

Abstract

The amphinomid polychaete Hermodice carunculata is a cosmopolitan and ecologically important omnivore in coral reef ecosystems, preying on a diverse suite of reef organisms and potentially acting as a vector for coral disease. While amphinomids are a key group for determining the root of the Annelida, their phylogenetic position has been difficult to resolve, and their publically available genomic data was scarce. We performed deep transcriptome sequencing (Illumina HiSeq) and profiling on Hermodice carunculata collected in the Western Atlantic Ocean. We focused this study on 58,454 predicted Open Reading Frames (ORFs) of genes longer than 200 amino acids for our homology search, and Gene Ontology (GO) terms and InterPro IDs were assigned to 32,500 of these ORFs. We used this de novo assembled transcriptome to recover major signaling pathways and housekeeping genes. We also identify a suite of H. carunculata genes related to reproduction and immune response. We provide a comprehensive catalogue of annotated genes for Hermodice carunculata and expand the knowledge of reproduction and immune response genes in annelids, in general. Overall, this study vastly expands the available genomic data for H. carunculata, of which previously consisted of only 279 nucleotide sequences in NCBI. This underscores the utility of Illumina sequencing for de novo transcriptome assembly in non-model organisms as a cost-effective and efficient tool for gene discovery and downstream applications, such as phylogenetic analysis and gene expression profiling.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
Brazil 2 3%
Slovakia 1 1%
United Kingdom 1 1%
Unknown 71 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 18%
Student > Bachelor 12 16%
Researcher 11 14%
Student > Master 7 9%
Student > Doctoral Student 5 6%
Other 12 16%
Unknown 16 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 48%
Biochemistry, Genetics and Molecular Biology 10 13%
Environmental Science 5 6%
Computer Science 2 3%
Immunology and Microbiology 1 1%
Other 3 4%
Unknown 19 25%
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 12 April 2023.
All research outputs
#5,559,757
of 25,698,912 outputs
Outputs from BMC Genomics
#2,180
of 11,320 outputs
Outputs of similar age
#64,166
of 280,544 outputs
Outputs of similar age from BMC Genomics
#49
of 232 outputs
Altmetric has tracked 25,698,912 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,320 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 79% 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 280,544 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 75% of its contemporaries.
We're also able to compare this research output to 232 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.