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ChIP'ing the mammalian genome: technical advances and insights into functional elements

Overview of attention for article published in Genome Medicine, January 2009
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)

Mentioned by

1 patent


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51 Mendeley
4 CiteULike
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ChIP'ing the mammalian genome: technical advances and insights into functional elements
Published in
Genome Medicine, January 2009
DOI 10.1186/gm89
Pubmed ID

Eleanor Wong, Chia-Lin Wei


Characterization of the functional components in mammalian genomes depends on our ability to completely elucidate the genetic and epigenetic regulatory networks of chromatin states and nuclear architecture. Such endeavors demand the availability of robust and effective approaches to characterizing protein-DNA associations in their native chromatin environments. Consider able progress has been made through the applica tion of chromatin immunoprecipitation (ChIP) to study chromatin biology in cells. Coupled with genome-wide analyses, ChIP-based assays enable us to take a global, unbiased and comprehensive view of transcriptional control, epigenetic regulation and chromatin structures, with high precision and versatility. The integrated knowledge derived from these studies is used to decipher gene regulatory networks and define genome organization. In this review, we discuss this powerful approach and its current advances. We also explore the possible future developments of ChIP-based approaches to interrogating long-range chromatin interactions and their impact on the mechanisms regulating gene expression.

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 6%
United Kingdom 2 4%
Italy 2 4%
Unknown 44 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 35%
Student > Ph. D. Student 9 18%
Student > Master 5 10%
Professor 4 8%
Professor > Associate Professor 4 8%
Other 8 16%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 69%
Medicine and Dentistry 4 8%
Biochemistry, Genetics and Molecular Biology 3 6%
Immunology and Microbiology 1 2%
Neuroscience 1 2%
Other 2 4%
Unknown 5 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 March 2020.
All research outputs
of 17,355,315 outputs
Outputs from Genome Medicine
of 1,156 outputs
Outputs of similar age
of 297,816 outputs
Outputs of similar age from Genome Medicine
of 20 outputs
Altmetric has tracked 17,355,315 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,156 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.4. This one is in the 19th percentile – i.e., 19% 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 297,816 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 62% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.