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Cell type-specific binding patterns reveal that TCF7L2 can be tethered to the genome by association with GATA3

Overview of attention for article published in Genome Biology, September 2012
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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 (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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2 blogs
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Citations

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101 Dimensions

Readers on

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323 Mendeley
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2 CiteULike
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Title
Cell type-specific binding patterns reveal that TCF7L2 can be tethered to the genome by association with GATA3
Published in
Genome Biology, September 2012
DOI 10.1186/gb-2012-13-9-r52
Pubmed ID
Authors

Seth Frietze, Rui Wang, Lijing Yao, Yu Gyoung Tak, Zhenqing Ye, Malaina Gaddis, Heather Witt, Peggy J Farnham, Victor X Jin

Abstract

The TCF7L2 transcription factor is linked to a variety of human diseases, including type 2 diabetes and cancer. One mechanism by which TCF7L2 could influence expression of genes involved in diverse diseases is by binding to distinct regulatory regions in different tissues. To test this hypothesis, we performed ChIP-seq for TCF7L2 in six human cell lines.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 323 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 3%
United Kingdom 8 2%
China 3 <1%
Germany 3 <1%
Australia 2 <1%
Spain 2 <1%
Japan 2 <1%
Switzerland 1 <1%
South Africa 1 <1%
Other 6 2%
Unknown 285 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 99 31%
Researcher 84 26%
Student > Master 35 11%
Student > Bachelor 21 7%
Professor > Associate Professor 17 5%
Other 44 14%
Unknown 23 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 184 57%
Biochemistry, Genetics and Molecular Biology 61 19%
Medicine and Dentistry 18 6%
Computer Science 14 4%
Chemistry 3 <1%
Other 14 4%
Unknown 29 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 17 November 2015.
All research outputs
#2,319,385
of 25,374,647 outputs
Outputs from Genome Biology
#1,915
of 4,467 outputs
Outputs of similar age
#15,276
of 187,001 outputs
Outputs of similar age from Genome Biology
#27
of 56 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 57% 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 187,001 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 91% of its contemporaries.
We're also able to compare this research output to 56 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 51% of its contemporaries.