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Hi-C Data Analysis

Overview of attention for book
Hi-C Data Analysis
Springer US
Attention for Chapter: Modeling the 3D Genome Using Hi-C and Nuclear Lamin-Genome Contacts
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
2 Mendeley
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Chapter title
Modeling the 3D Genome Using Hi-C and Nuclear Lamin-Genome Contacts
Book title
Hi-C Data Analysis
Published in
Methods in molecular biology, August 2021
DOI 10.1007/978-1-0716-1390-0_18
Pubmed ID
Book ISBNs
978-1-07-161389-4, 978-1-07-161390-0
Authors

Paulsen, Jonas, Collas, Philippe, Jonas Paulsen, Philippe Collas

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 50%
Researcher 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Medicine and Dentistry 1 50%
Attention Score in Context

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 14 March 2022.
All research outputs
#13,122,124
of 23,339,727 outputs
Outputs from Methods in molecular biology
#3,345
of 13,337 outputs
Outputs of similar age
#172,611
of 432,015 outputs
Outputs of similar age from Methods in molecular biology
#42
of 325 outputs
Altmetric has tracked 23,339,727 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,337 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 74% 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 432,015 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 59% of its contemporaries.
We're also able to compare this research output to 325 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.