↓ Skip to main content

Precision Medicine, CRISPR, and Genome Engineering

Overview of attention for book
Attention for Chapter 1: Viral Vectors, Engineered Cells and the CRISPR Revolution
Altmetric Badge

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 (67th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
47 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Viral Vectors, Engineered Cells and the CRISPR Revolution
Chapter number 1
Book title
Precision Medicine, CRISPR, and Genome Engineering
Published in
Advances in experimental medicine and biology, January 2017
DOI 10.1007/978-3-319-63904-8_1
Pubmed ID
Book ISBNs
978-3-31-963903-1, 978-3-31-963904-8
Authors

James E. DiCarlo, Anurag Deeconda, Stephen H. Tsang, DiCarlo, James E., Deeconda, Anurag, Tsang, Stephen H.

Abstract

Over the past few decades the ability to edit human cells has revolutionized modern biology and medicine. With advances in genome editing methodologies, gene delivery and cell-based therapeutics targeted at treatment of genetic disease have become a reality that will become more and more essential in clinical practice. Modifying specific mutations in eukaryotic cells using CRISPR-Cas systems derived from prokaryotic immune systems has allowed for precision in correcting various disease mutations. Furthermore, delivery of genetic payloads by employing viral tropism has become a crucial and effective mechanism for delivering genes and gene editing systems into cells. Lastly, cells modified ex vivo have tremendous potential and have shown effective in studying and treating a myriad of diseases. This chapter seeks to highlight and review important progress in the realm of the editing of human cells using CRISPR-Cas systems, the use of viruses as vectors for gene therapy, and the application of engineered cells to study and treat disease.

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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 30%
Student > Master 7 15%
Researcher 7 15%
Student > Ph. D. Student 2 4%
Student > Doctoral Student 2 4%
Other 2 4%
Unknown 13 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 38%
Medicine and Dentistry 5 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Engineering 2 4%
Immunology and Microbiology 2 4%
Other 4 9%
Unknown 14 30%
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 11 April 2018.
All research outputs
#13,220,975
of 23,008,860 outputs
Outputs from Advances in experimental medicine and biology
#1,803
of 4,961 outputs
Outputs of similar age
#204,872
of 421,267 outputs
Outputs of similar age from Advances in experimental medicine and biology
#157
of 490 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,961 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 63% 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 421,267 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 50% of its contemporaries.
We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.