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Mendeley readers
Attention Score in Context
Title |
Cell type-specific binding patterns reveal that TCF7L2 can be tethered to the genome by association with GATA3
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Published in |
Genome Biology, September 2012
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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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 40% |
France | 1 | 20% |
United Kingdom | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 40% |
Scientists | 2 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
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
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.