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Genome Editing in Cardiovascular and Metabolic Diseases

Overview of attention for book
Cover of 'Genome Editing in Cardiovascular and Metabolic Diseases'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 An Overview of Genome Editing in Cardiovascular and Metabolic Diseases
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    Chapter 2 Online Databases of Genome Editing in Cardiovascular and Metabolic Diseases
  4. Altmetric Badge
    Chapter 3 Genome Editing and Cardiac Regeneration
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    Chapter 4 Genome Editing and Myocardial Development
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    Chapter 5 Genome Editing and Heart Failure
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    Chapter 6 Genome Editing and Pathological Cardiac Hypertrophy
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    Chapter 7 Genome Editing and Diabetic Cardiomyopathy
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    Chapter 8 Genome Editing and Inherited Cardiac Arrhythmias
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    Chapter 9 Genome Editing and Atrial Fibrillation
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    Chapter 10 Genome Editing in Dyslipidemia and Atherosclerosis
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    Chapter 11 Genome Editing to Abrogate Muscle Atrophy
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    Chapter 12 Genome Editing and Obesity
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    Chapter 13 Genome Editing and Fatty Liver
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    Chapter 14 Genomic Editing and Diabetes
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    Chapter 15 Genome Editing and Protein Energy Malnutrition
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    Chapter 16 Gene Therapy and Cardiovascular Diseases
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    Chapter 17 Therapeutics in Metabolic Diseases
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    Chapter 18 Gene Editing and Human iPSCs in Cardiovascular and Metabolic Diseases
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    Chapter 19 Prospective Advances in Genome Editing Investigation
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    Chapter 20 Enabling Precision Medicine with CRISPR-Cas Genome Editing Technology: A Translational Perspective
Attention for Chapter 8: Genome Editing and Inherited Cardiac Arrhythmias
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
5 X users

Citations

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1 Dimensions

Readers on

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4 Mendeley
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Chapter title
Genome Editing and Inherited Cardiac Arrhythmias
Chapter number 8
Book title
Genome Editing in Cardiovascular and Metabolic Diseases
Published in
Advances in experimental medicine and biology, January 2023
DOI 10.1007/978-981-19-5642-3_8
Pubmed ID
Book ISBNs
978-9-81-195641-6, 978-9-81-195642-3
Authors

Lalaguna, Laura, Ramos-Hernández, Laura, Priori, Silvia G., Lara-Pezzi, Enrique

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

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 25%
Other 1 25%
Student > Postgraduate 1 25%
Unknown 1 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 25%
Medicine and Dentistry 1 25%
Engineering 1 25%
Unknown 1 25%
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 03 December 2022.
All research outputs
#14,629,103
of 24,932,434 outputs
Outputs from Advances in experimental medicine and biology
#1,986
of 5,248 outputs
Outputs of similar age
#188,719
of 469,670 outputs
Outputs of similar age from Advances in experimental medicine and biology
#18
of 80 outputs
Altmetric has tracked 24,932,434 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,248 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 61% 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 469,670 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 58% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.