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Applications of DNA tiling arrays to experimental genome annotation and regulatory pathway discovery

Overview of attention for article published in Chromosome Research, April 2005
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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 (71st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
102 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
Title
Applications of DNA tiling arrays to experimental genome annotation and regulatory pathway discovery
Published in
Chromosome Research, April 2005
DOI 10.1007/s10577-005-2165-0
Pubmed ID
Authors

Paul Bertone, Mark Gerstein, Michael Snyder

Abstract

Microarrays have become a popular and important technology for surveying global patterns in gene expression and regulation. A number of innovative experiments have extended microarray applications beyond the measurement of mRNA expression levels, in order to uncover aspects of large-scale chromosome function and dynamics. This has been made possible due to the recent development of tiling arrays, where all non-repetitive DNA comprising a chromosome or locus is represented at various sequence resolutions. Since tiling arrays are designed to contain the entire DNA sequence without prior consultation of existing gene annotation, they enable the discovery of novel transcribed sequences and regulatory elements through the unbiased interrogation of genomic loci. The implementation of such methods for the global analysis of large eukaryotic genomes presents significant technical challenges. Nonetheless, tiling arrays are expected to become instrumental for the genome-wide identification and characterization of functional elements. Combined with computational methods to relate these data and map the complex interactions of transcriptional regulators, tiling array experiments can provide insight toward a more comprehensive understanding of fundamental molecular and cellular processes.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 5%
United Kingdom 4 4%
Germany 4 4%
Spain 2 2%
India 1 <1%
Argentina 1 <1%
Italy 1 <1%
Canada 1 <1%
China 1 <1%
Other 0 0%
Unknown 82 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 32%
Student > Ph. D. Student 27 26%
Professor > Associate Professor 6 6%
Student > Master 6 6%
Student > Doctoral Student 5 5%
Other 18 18%
Unknown 7 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 66%
Biochemistry, Genetics and Molecular Biology 15 15%
Medicine and Dentistry 4 4%
Computer Science 2 2%
Environmental Science 1 <1%
Other 3 3%
Unknown 10 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 28 May 2011.
All research outputs
#4,696,560
of 22,789,076 outputs
Outputs from Chromosome Research
#69
of 507 outputs
Outputs of similar age
#10,563
of 59,983 outputs
Outputs of similar age from Chromosome Research
#1
of 5 outputs
Altmetric has tracked 22,789,076 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 507 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 59,983 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them