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The gateway to transcription: identifying, characterizing and understanding promoters in the eukaryotic genome

Overview of attention for article published in Cellular & Molecular Life Sciences, December 2006
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Mentioned by

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Citations

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72 Dimensions

Readers on

mendeley
148 Mendeley
citeulike
5 CiteULike
Title
The gateway to transcription: identifying, characterizing and understanding promoters in the eukaryotic genome
Published in
Cellular & Molecular Life Sciences, December 2006
DOI 10.1007/s00018-006-6295-0
Pubmed ID
Authors

N. D. Heintzman, B. Ren

Abstract

Eukaryotic transcriptional regulation requires the integration of complex signals by the transcriptional promoter. Distinct sequence elements, characteristic chromatin modifications and coordinated protein-DNA interactions at these sequences constitute a transcriptional regulatory code that remains poorly understood today. Here, we review recent experimental and computational advances that have enabled the identification and analysis of transcriptional promoters on an unprecedented scale, laying a foundation for systematic determination of the transcriptional regulatory networks in eukaryotic cells. The knowledge gained from these large-scale investigations has challenged some conventional concepts of promoter structure and function, and provided valuable insights into the complex gene regulatory mechanisms in a variety of organisms.

Mendeley readers

The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
United Kingdom 3 2%
Germany 2 1%
Brazil 2 1%
India 1 <1%
Israel 1 <1%
Australia 1 <1%
Poland 1 <1%
France 1 <1%
Other 3 2%
Unknown 129 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 32%
Researcher 35 24%
Student > Master 13 9%
Student > Doctoral Student 12 8%
Professor 11 7%
Other 30 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 92 62%
Biochemistry, Genetics and Molecular Biology 34 23%
Unspecified 5 3%
Computer Science 5 3%
Medicine and Dentistry 4 3%
Other 8 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 March 2012.
All research outputs
#2,018,112
of 3,635,018 outputs
Outputs from Cellular & Molecular Life Sciences
#528
of 881 outputs
Outputs of similar age
#31,158
of 73,094 outputs
Outputs of similar age from Cellular & Molecular Life Sciences
#8
of 18 outputs
Altmetric has tracked 3,635,018 research outputs across all sources so far. This one is in the 26th percentile – i.e., 26% of other outputs scored the same or lower than it.
So far Altmetric has tracked 881 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 28th percentile – i.e., 28% 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 73,094 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.