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Deep Sequencing Data Analysis

Overview of attention for book
Attention for Chapter 4: Processing and Analysis of RNA-seq Data from Public Resources
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
twitter
4 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
28 Mendeley
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Chapter title
Processing and Analysis of RNA-seq Data from Public Resources
Chapter number 4
Book title
Deep Sequencing Data Analysis
Published in
Methods in molecular biology, February 2021
DOI 10.1007/978-1-0716-1103-6_4
Pubmed ID
Book ISBNs
978-1-07-161102-9, 978-1-07-161103-6
Authors

Yazeed Zoabi, Noam Shomron, Zoabi, Yazeed, Shomron, Noam

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 18%
Researcher 4 14%
Student > Bachelor 3 11%
Unspecified 2 7%
Student > Master 2 7%
Other 2 7%
Unknown 10 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 32%
Unspecified 2 7%
Environmental Science 1 4%
Veterinary Science and Veterinary Medicine 1 4%
Economics, Econometrics and Finance 1 4%
Other 3 11%
Unknown 11 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 22 November 2023.
All research outputs
#2,727,193
of 24,857,051 outputs
Outputs from Methods in molecular biology
#494
of 13,965 outputs
Outputs of similar age
#69,566
of 426,616 outputs
Outputs of similar age from Methods in molecular biology
#2
of 229 outputs
Altmetric has tracked 24,857,051 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,965 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 96% 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 426,616 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 229 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 99% of its contemporaries.