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Identifying multi-locus chromatin contacts in human cells using tethered multiple 3C

Overview of attention for article published in BMC Genomics, February 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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3 X users
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3 patents

Citations

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54 Dimensions

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88 Mendeley
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Title
Identifying multi-locus chromatin contacts in human cells using tethered multiple 3C
Published in
BMC Genomics, February 2015
DOI 10.1186/s12864-015-1236-7
Pubmed ID
Authors

Ferhat Ay, Thanh H Vu, Michael J Zeitz, Nelle Varoquaux, Jan E Carette, Jean-Philippe Vert, Andrew R Hoffman, William S Noble

Abstract

Several recently developed experimental methods, each an extension of the chromatin conformation capture (3C) assay, have enabled the genome-wide profiling of chromatin contacts between pairs of genomic loci in 3D. Especially in complex eukaryotes, data generated by these methods, coupled with other genome-wide datasets, demonstrated that non-random chromatin folding correlates strongly with cellular processes such as gene expression and DNA replication.

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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Spain 1 1%
United States 1 1%
France 1 1%
Unknown 84 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 30%
Researcher 25 28%
Student > Master 7 8%
Professor 6 7%
Student > Bachelor 3 3%
Other 8 9%
Unknown 13 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 39%
Biochemistry, Genetics and Molecular Biology 25 28%
Computer Science 5 6%
Mathematics 3 3%
Engineering 2 2%
Other 4 5%
Unknown 15 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 April 2021.
All research outputs
#4,172,178
of 22,796,179 outputs
Outputs from BMC Genomics
#1,740
of 10,648 outputs
Outputs of similar age
#51,204
of 255,481 outputs
Outputs of similar age from BMC Genomics
#50
of 279 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,648 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 83% 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 255,481 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 78% of its contemporaries.
We're also able to compare this research output to 279 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.