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Molecular functions of human endogenous retroviruses in health and disease

Overview of attention for article published in Cellular and Molecular Life Sciences, June 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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3 X users
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1 Facebook page
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1 Google+ user

Citations

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75 Dimensions

Readers on

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186 Mendeley
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2 CiteULike
Title
Molecular functions of human endogenous retroviruses in health and disease
Published in
Cellular and Molecular Life Sciences, June 2015
DOI 10.1007/s00018-015-1947-6
Pubmed ID
Authors

Maria Suntsova, Andrew Garazha, Alena Ivanova, Dmitry Kaminsky, Alex Zhavoronkov, Anton Buzdin

Abstract

Human endogenous retroviruses (HERVs) and related genetic elements form 504 distinct families and occupy ~8 % of human genome. Recent success of high-throughput experimental technologies facilitated understanding functional impact of HERVs for molecular machinery of human cells. HERVs encode active retroviral proteins, which may exert important physiological functions in the body, but also may be involved in the progression of cancer and numerous human autoimmune, neurological and infectious diseases. The spectrum of related malignancies includes, but not limits to, multiple sclerosis, psoriasis, lupus, schizophrenia, multiple cancer types and HIV. In addition, HERVs regulate expression of the neighboring host genes and modify genomic regulatory landscape, e.g., by providing regulatory modules like transcription factor binding sites (TFBS). Indeed, recent bioinformatic profiling identified ~110,000 regulatory active HERV elements, which formed at least ~320,000 human TFBS. These and other peculiarities of HERVs might have played an important role in human evolution and speciation. In this paper, we focus on the current progress in understanding of normal and pathological molecular niches of HERVs, on their implications in human evolution, normal physiology and disease. We also review the available databases dealing with various aspects of HERV genetics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 1%
Iran, Islamic Republic of 1 <1%
Belgium 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 180 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 20%
Student > Master 31 17%
Student > Ph. D. Student 28 15%
Student > Bachelor 23 12%
Student > Doctoral Student 9 5%
Other 28 15%
Unknown 29 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 51 27%
Agricultural and Biological Sciences 35 19%
Medicine and Dentistry 23 12%
Immunology and Microbiology 13 7%
Computer Science 7 4%
Other 19 10%
Unknown 38 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 June 2015.
All research outputs
#7,591,533
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#1,602
of 4,151 outputs
Outputs of similar age
#86,671
of 265,771 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#23
of 66 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 61% 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 265,771 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 66% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.