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Deep Sequencing Data Analysis

Overview of attention for book
Attention for Chapter: Single-Cell Transcriptome Profiling
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
6 Mendeley
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Chapter title
Single-Cell Transcriptome Profiling
Book title
Deep Sequencing Data Analysis
Published in
Methods in molecular biology, February 2021
DOI 10.1007/978-1-0716-1103-6_16
Pubmed ID
Book ISBNs
978-1-07-161102-9, 978-1-07-161103-6
Authors

Guy Shapira, Noam Shomron, Shapira, Guy, Shomron, Noam

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 33%
Student > Master 2 33%
Unknown 2 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 50%
Unknown 3 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 February 2021.
All research outputs
#13,736,006
of 23,283,373 outputs
Outputs from Methods in molecular biology
#3,713
of 13,326 outputs
Outputs of similar age
#206,796
of 418,684 outputs
Outputs of similar age from Methods in molecular biology
#47
of 235 outputs
Altmetric has tracked 23,283,373 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,326 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 70% 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 418,684 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 235 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.