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Predicting expression: the complementary power of histone modification and transcription factor binding data

Overview of attention for article published in Epigenetics & Chromatin, November 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

twitter
9 tweeters

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
49 Mendeley
citeulike
1 CiteULike
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Title
Predicting expression: the complementary power of histone modification and transcription factor binding data
Published in
Epigenetics & Chromatin, November 2014
DOI 10.1186/1756-8935-7-36
Pubmed ID
Authors

David M Budden, Daniel G Hurley, Joseph Cursons, John F Markham, Melissa J Davis, Edmund J Crampin

Abstract

Transcription factors (TFs) and histone modifications (HMs) play critical roles in gene expression by regulating mRNA transcription. Modelling frameworks have been developed to integrate high-throughput omics data, with the aim of elucidating the regulatory logic that results from the interactions of DNA, TFs and HMs. These models have yielded an unexpected and poorly understood result: that TFs and HMs are statistically redundant in explaining mRNA transcript abundance at a genome-wide level.

Twitter Demographics

The data shown below were collected from the profiles of 9 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Italy 1 2%
Brazil 1 2%
United Kingdom 1 2%
Denmark 1 2%
Unknown 44 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 31%
Researcher 11 22%
Student > Master 7 14%
Professor > Associate Professor 5 10%
Student > Bachelor 5 10%
Other 3 6%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 53%
Biochemistry, Genetics and Molecular Biology 9 18%
Computer Science 4 8%
Physics and Astronomy 2 4%
Mathematics 2 4%
Other 2 4%
Unknown 4 8%

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 22 December 2014.
All research outputs
#3,158,028
of 12,470,444 outputs
Outputs from Epigenetics & Chromatin
#179
of 359 outputs
Outputs of similar age
#66,700
of 282,671 outputs
Outputs of similar age from Epigenetics & Chromatin
#8
of 11 outputs
Altmetric has tracked 12,470,444 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 359 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 49th percentile – i.e., 49% 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 282,671 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 75% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.