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Classification and characterization of human endogenous retroviruses; mosaic forms are common

Overview of attention for article published in Retrovirology, January 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#24 of 1,283)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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3 news outlets
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1 blog
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19 X users
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2 patents
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1 Facebook page
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8 Wikipedia pages

Citations

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222 Dimensions

Readers on

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289 Mendeley
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1 CiteULike
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Title
Classification and characterization of human endogenous retroviruses; mosaic forms are common
Published in
Retrovirology, January 2016
DOI 10.1186/s12977-015-0232-y
Pubmed ID
Authors

Laura Vargiu, Patricia Rodriguez-Tomé, Göran O. Sperber, Marta Cadeddu, Nicole Grandi, Vidar Blikstad, Enzo Tramontano, Jonas Blomberg

Abstract

Human endogenous retroviruses (HERVs) represent the inheritance of ancient germ-line cell infections by exogenous retroviruses and the subsequent transmission of the integrated proviruses to the descendants. ERVs have the same internal structure as exogenous retroviruses. While no replication-competent HERVs have been recognized, some retain up to three of four intact ORFs. HERVs have been classified before, with varying scope and depth, notably in the RepBase/RepeatMasker system. However, existing classifications are bewildering. There is a need for a systematic, unifying and simple classification. We strived for a classification which is traceable to previous classifications and which encompasses HERV variation within a limited number of clades. The human genome assembly GRCh 37/hg19 was analyzed with RetroTector, which primarily detects relatively complete Class I and II proviruses. A total of 3173 HERV sequences were identified. The structure of and relations between these proviruses was resolved through a multi-step classification procedure that involved a novel type of similarity image analysis ("Simage") which allowed discrimination of heterogeneous (noncanonical) from homogeneous (canonical) HERVs. Of the 3173 HERVs, 1214 were canonical and segregated into 39 canonical clades (groups), belonging to class I (Gamma- and Epsilon-like), II (Beta-like) and III (Spuma-like). The groups were chosen based on (1) sequence (nucleotide and Pol amino acid), similarity, (2) degree of fit to previously published clades, often from RepBase, and (3) taxonomic markers. The groups fell into 11 supergroups. The 1959 noncanonical HERVs contained 31 additional, less well-defined groups. Simage analysis revealed several types of mosaicism, notably recombination and secondary integration. By comparing flanking sequences, LTRs and completeness of gene structure, we deduced that some noncanonical HERVs proliferated after the recombination event. Groups were further divided into envelope subgroups (altogether 94) based on sequence similarity and characteristic "immunosuppressive domain" motifs. Intra and inter(super)group, as well as intraclass, recombination involving envelope genes ("env snatching") was a common event. LTR divergence indicated that HERV-K(HML2) and HERVFC had the most recent integrations, HERVL and HUERSP3 the oldest. A comprehensive HERV classification and characterization approach was undertaken. It should be applicable for classification of all ERVs. Recombination was common among HERV ancestors.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 289 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Canada 1 <1%
Unknown 287 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 55 19%
Student > Bachelor 47 16%
Researcher 42 15%
Student > Master 30 10%
Student > Doctoral Student 15 5%
Other 33 11%
Unknown 67 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 98 34%
Agricultural and Biological Sciences 58 20%
Immunology and Microbiology 24 8%
Medicine and Dentistry 14 5%
Engineering 7 2%
Other 20 7%
Unknown 68 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 51. 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 28 July 2023.
All research outputs
#841,940
of 25,843,331 outputs
Outputs from Retrovirology
#24
of 1,283 outputs
Outputs of similar age
#14,863
of 406,397 outputs
Outputs of similar age from Retrovirology
#1
of 19 outputs
Altmetric has tracked 25,843,331 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th 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 98% 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 406,397 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 96% of its contemporaries.
We're also able to compare this research output to 19 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 94% of its contemporaries.