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Analysis of transcribed human endogenous retrovirus W env loci clarifies the origin of multiple sclerosis-associated retrovirus envsequences

Overview of attention for article published in Retrovirology, April 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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7 X users
patent
1 patent
wikipedia
2 Wikipedia pages

Citations

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65 Dimensions

Readers on

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69 Mendeley
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Title
Analysis of transcribed human endogenous retrovirus W env loci clarifies the origin of multiple sclerosis-associated retrovirus envsequences
Published in
Retrovirology, April 2009
DOI 10.1186/1742-4690-6-37
Pubmed ID
Authors

Georg Laufer, Jens Mayer, Benedikt F Mueller, Nikolaus Mueller-Lantzsch, Klemens Ruprecht

Abstract

Multiple sclerosis-associated retrovirus (MSRV) RNA sequences have been detected in patients with multiple sclerosis (MS) and are related to the multi-copy human endogenous retrovirus family type W (HERV-W). Only one HERV-W locus (ERVWE1) codes for a complete HERV-W Env protein (Syncytin-1). Syncytin-1 and the putative MSRV Env protein have been involved in the pathogenesis of MS. The origin of MSRV and its precise relation to HERV-W were hitherto unknown.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Italy 1 1%
Brazil 1 1%
United Kingdom 1 1%
Canada 1 1%
Iran, Islamic Republic of 1 1%
Unknown 63 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 20%
Student > Ph. D. Student 12 17%
Student > Bachelor 9 13%
Student > Master 8 12%
Professor 4 6%
Other 9 13%
Unknown 13 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 30%
Biochemistry, Genetics and Molecular Biology 14 20%
Medicine and Dentistry 12 17%
Immunology and Microbiology 4 6%
Neuroscience 3 4%
Other 3 4%
Unknown 12 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 16 February 2022.
All research outputs
#3,485,456
of 24,353,295 outputs
Outputs from Retrovirology
#154
of 1,136 outputs
Outputs of similar age
#11,890
of 97,337 outputs
Outputs of similar age from Retrovirology
#3
of 6 outputs
Altmetric has tracked 24,353,295 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,136 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 86% 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 97,337 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 87% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.