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Nomenclature for endogenous retrovirus (ERV) loci

Overview of attention for article published in Retrovirology, August 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#39 of 1,283)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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55 X users
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6 Wikipedia pages

Citations

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106 Dimensions

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185 Mendeley
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Title
Nomenclature for endogenous retrovirus (ERV) loci
Published in
Retrovirology, August 2018
DOI 10.1186/s12977-018-0442-1
Pubmed ID
Authors

Robert J. Gifford, Jonas Blomberg, John M. Coffin, Hung Fan, Thierry Heidmann, Jens Mayer, Jonathan Stoye, Michael Tristem, Welkin E. Johnson

Abstract

Retroviral integration into germline DNA can result in the formation of a vertically inherited proviral sequence called an endogenous retrovirus (ERV). Over the course of their evolution, vertebrate genomes have accumulated many thousands of ERV loci. These sequences provide useful retrospective information about ancient retroviruses, and have also played an important role in shaping the evolution of vertebrate genomes. There is an immediate need for a unified system of nomenclature for ERV loci, not only to assist genome annotation, but also to facilitate research on ERVs and their impact on genome biology and evolution. In this review, we examine how ERV nomenclatures have developed, and consider the possibilities for the implementation of a systematic approach for naming ERV loci. We propose that such a nomenclature should not only provide unique identifiers for individual loci, but also denote orthologous relationships between ERVs in different species. In addition, we propose that-where possible-mnemonic links to previous, well-established names for ERV loci and groups should be retained. We show how this approach can be applied and integrated into existing taxonomic and nomenclature schemes for retroviruses, ERVs and transposable elements.

X Demographics

X Demographics

The data shown below were collected from the profiles of 55 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 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 185 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 17%
Student > Bachelor 32 17%
Student > Ph. D. Student 24 13%
Student > Master 22 12%
Student > Doctoral Student 8 4%
Other 11 6%
Unknown 56 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 52 28%
Agricultural and Biological Sciences 27 15%
Immunology and Microbiology 18 10%
Medicine and Dentistry 7 4%
Veterinary Science and Veterinary Medicine 5 3%
Other 16 9%
Unknown 60 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 03 August 2023.
All research outputs
#1,177,744
of 25,859,234 outputs
Outputs from Retrovirology
#39
of 1,283 outputs
Outputs of similar age
#24,362
of 345,989 outputs
Outputs of similar age from Retrovirology
#2
of 20 outputs
Altmetric has tracked 25,859,234 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,283 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done particularly well, scoring higher than 96% 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 345,989 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.