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Chromatin Interaction Analysis with Paired-End Tag (ChIA-PET) sequencing technology and application

Overview of attention for article published in BMC Genomics, December 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
twitter
7 X users
patent
1 patent

Citations

dimensions_citation
88 Dimensions

Readers on

mendeley
300 Mendeley
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Title
Chromatin Interaction Analysis with Paired-End Tag (ChIA-PET) sequencing technology and application
Published in
BMC Genomics, December 2014
DOI 10.1186/1471-2164-15-s12-s11
Pubmed ID
Authors

Guoliang Li, Liuyang Cai, Huidan Chang, Ping Hong, Qiangwei Zhou, Ekaterina V Kulakova, Nikolay A Kolchanov, Yijun Ruan

Abstract

Long-range chromatin interactions play an important role in transcription regulation. Chromatin Interaction Analysis with Paired-End-Tag sequencing (ChIA-PET) is an emerging technology that has unique advantages in chromatin interaction analysis, and thus provides insight into the study of transcription regulation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 300 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
United Kingdom 1 <1%
Turkey 1 <1%
Unknown 297 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 71 24%
Researcher 45 15%
Student > Master 41 14%
Student > Bachelor 35 12%
Student > Doctoral Student 8 3%
Other 27 9%
Unknown 73 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 102 34%
Agricultural and Biological Sciences 76 25%
Computer Science 13 4%
Medicine and Dentistry 9 3%
Unspecified 5 2%
Other 18 6%
Unknown 77 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 26 August 2021.
All research outputs
#2,426,393
of 25,116,143 outputs
Outputs from BMC Genomics
#659
of 11,166 outputs
Outputs of similar age
#32,777
of 365,492 outputs
Outputs of similar age from BMC Genomics
#16
of 237 outputs
Altmetric has tracked 25,116,143 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 11,166 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 94% 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 365,492 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 237 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.