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Stem Cell Banking

Overview of attention for book
Attention for Chapter 12: Genome Editing in Human Pluripotent Stem Cells
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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6 X users

Citations

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8 Dimensions

Readers on

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156 Mendeley
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Chapter title
Genome Editing in Human Pluripotent Stem Cells
Chapter number 12
Book title
Stem Cell Banking
Published in
Methods in molecular biology, March 2017
DOI 10.1007/978-1-4939-6921-0_12
Pubmed ID
Book ISBNs
978-1-4939-6919-7, 978-1-4939-6921-0
Authors

Carlson-Stevermer, Jared, Saha, Krishanu, Jared Carlson-Stevermer, Krishanu Saha

Editors

Jeremy M. Crook, Tenneille E. Ludwig

Abstract

Genome editing in human pluripotent stem cells (hPSCs) enables the generation of reporter lines and knockout cell lines. Zinc finger nucleases, transcription activator-like effector nucleases (TALENs), and CRISPR/Cas9 technology have recently increased the efficiency of proper gene editing by creating double strand breaks (DSB) at defined sequences in the human genome. These systems typically use plasmids to transiently transcribe nucleases within the cell. Here, we describe the process for preparing hPSCs for transient expression of nucleases via electroporation and subsequent analysis to create genetically modified stem cell lines.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
United Kingdom 2 1%
Netherlands 1 <1%
Australia 1 <1%
Switzerland 1 <1%
Germany 1 <1%
Brazil 1 <1%
China 1 <1%
Mexico 1 <1%
Other 0 0%
Unknown 141 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 30%
Student > Ph. D. Student 32 21%
Student > Bachelor 13 8%
Student > Master 13 8%
Professor > Associate Professor 11 7%
Other 25 16%
Unknown 15 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 80 51%
Biochemistry, Genetics and Molecular Biology 28 18%
Medicine and Dentistry 11 7%
Neuroscience 8 5%
Chemistry 3 2%
Other 7 4%
Unknown 19 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 March 2023.
All research outputs
#8,096,303
of 24,998,746 outputs
Outputs from Methods in molecular biology
#2,440
of 14,073 outputs
Outputs of similar age
#119,618
of 314,060 outputs
Outputs of similar age from Methods in molecular biology
#35
of 285 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 14,073 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 81% 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 314,060 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 61% of its contemporaries.
We're also able to compare this research output to 285 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.