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A repetitive elements perspective in Polycomb epigenetics

Overview of attention for article published in Frontiers in Genetics, January 2012
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About this Attention Score

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

Mentioned by

2 tweeters
1 peer review site


26 Dimensions

Readers on

94 Mendeley
1 CiteULike
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A repetitive elements perspective in Polycomb epigenetics
Published in
Frontiers in Genetics, January 2012
DOI 10.3389/fgene.2012.00199
Pubmed ID

Valentina Casa, Davide Gabellini


Repetitive elements comprise over two-thirds of the human genome. For a long time, these elements have received little attention since they were considered non-functional. On the contrary, recent evidence indicates that they play central roles in genome integrity, gene expression, and disease. Indeed, repeats display meiotic instability associated with disease and are located within common fragile sites, which are hotspots of chromosome re-arrangements in tumors. Moreover, a variety of diseases have been associated with aberrant transcription of repetitive elements. Overall this indicates that appropriate regulation of repetitive elements' activity is fundamental. Polycomb group (PcG) proteins are epigenetic regulators that are essential for the normal development of multicellular organisms. Mammalian PcG proteins are involved in fundamental processes, such as cellular memory, cell proliferation, genomic imprinting, X-inactivation, and cancer development. PcG proteins can convey their activity through long-distance interactions also on different chromosomes. This indicates that the 3D organization of PcG proteins contributes significantly to their function. However, it is still unclear how these complex mechanisms are orchestrated and which role PcG proteins play in the multi-level organization of gene regulation. Intriguingly, the greatest proportion of Polycomb-mediated chromatin modifications is located in genomic repeats and it has been suggested that they could provide a binding platform for Polycomb proteins. Here, these lines of evidence are woven together to discuss how repetitive elements could contribute to chromatin organization in the 3D nuclear space.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Spain 1 1%
Germany 1 1%
Japan 1 1%
United States 1 1%
Unknown 88 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 28%
Student > Ph. D. Student 17 18%
Student > Master 15 16%
Student > Doctoral Student 10 11%
Professor > Associate Professor 7 7%
Other 11 12%
Unknown 8 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 48%
Biochemistry, Genetics and Molecular Biology 29 31%
Medicine and Dentistry 3 3%
Neuroscience 2 2%
Economics, Econometrics and Finance 1 1%
Other 4 4%
Unknown 10 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 October 2012.
All research outputs
of 8,593,144 outputs
Outputs from Frontiers in Genetics
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Outputs of similar age
of 104,338 outputs
Outputs of similar age from Frontiers in Genetics
of 3 outputs
Altmetric has tracked 8,593,144 research outputs across all sources so far. This one has received more attention than most of these and is in the 54th percentile.
So far Altmetric has tracked 1,884 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 104,338 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 60% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.