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Stem Cell Banking

Overview of attention for book
Attention for Chapter 8: Derivation of Human Embryonic Stem Cells
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
41 Mendeley
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Chapter title
Derivation of Human Embryonic Stem Cells
Chapter number 8
Book title
Stem Cell Banking
Published in
Methods in molecular biology, March 2017
DOI 10.1007/978-1-4939-6921-0_8
Pubmed ID
Book ISBNs
978-1-4939-6919-7, 978-1-4939-6921-0
Authors

Jeremy M. Crook, Lucy Kravets, Teija Peura, Meri T. Firpo, Crook, Jeremy M., Kravets, Lucy, Peura, Teija, Firpo, Meri T.

Editors

Jeremy M. Crook, Tenneille E. Ludwig

Abstract

Embryonic stem cells (ESCs) represent a mainstay for pluripotent stem cell research and development (R&D) and provide tangible opportunities for clinical translation including cell therapies and drug discovery. Moreover, in spite of the discovery of induced pluripotent stem cells (iPSCs), ESCs are an essential reference point, against which other pluripotent cells are compared. Hence, there is an ongoing need to derive and bank quality-controlled research-grade and clinical-grade ESC lines using established and standardized methods. Here, we provide a concise, step-by-step protocol for the derivation of ESCs from human embryos. While largely based on previously reported method for clinical-grade human ESC (hESC) line derivation, the protocol is suitable for routine application, although adaptable for clinical-compliance.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 24%
Student > Ph. D. Student 5 12%
Student > Bachelor 3 7%
Lecturer 2 5%
Librarian 2 5%
Other 9 22%
Unknown 10 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 29%
Medicine and Dentistry 6 15%
Biochemistry, Genetics and Molecular Biology 6 15%
Chemical Engineering 1 2%
Neuroscience 1 2%
Other 1 2%
Unknown 14 34%
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 22 December 2022.
All research outputs
#7,689,410
of 23,393,453 outputs
Outputs from Methods in molecular biology
#2,392
of 13,305 outputs
Outputs of similar age
#121,521
of 309,717 outputs
Outputs of similar age from Methods in molecular biology
#37
of 291 outputs
Altmetric has tracked 23,393,453 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,305 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 75% 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 309,717 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 53% of its contemporaries.
We're also able to compare this research output to 291 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.