↓ Skip to main content

Molecular Genetics of Asthma

Overview of attention for book
Attention for Chapter 3: Molecular Genetics of Asthma
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
4 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
278 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
Molecular Genetics of Asthma
Chapter number 3
Book title
Molecular Genetics of Asthma
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3652-6_3
Pubmed ID
Book ISBNs
978-1-4939-3650-2, 978-1-4939-3652-6
Authors

Segundo-Val, Ignacio San, Sanz-Lozano, Catalina S, Ignacio San Segundo-Val, Catalina S. Sanz-Lozano, San Segundo-Val, Ignacio, Sanz-Lozano, Catalina S.

Abstract

In 1941, Beadle and Tatum published experiments that would explain the basis of the central dogma of molecular biology, whereby the DNA through an intermediate molecule, called RNA, results proteins that perform the functions in cells. Currently, biomedical research attempts to explain the mechanisms by which develops a particular disease, for this reason, gene expression studies have proven to be a great resource. Strictly, the term "gene expression" comprises from the gene activation until the mature protein is located in its corresponding compartment to perform its function and contribute to the expression of the phenotype of cell.The expression studies are directed to detect and quantify messenger RNA (mRNA) levels of a specific gene. The development of the RNA-based gene expression studies began with the Northern Blot by Alwine et al. in 1977. In 1969, Gall and Pardue and John et al. independently developed the in situ hybridization, but this technique was not employed to detect mRNA until 1986 by Coghlan. Today, many of the techniques for quantification of RNA are deprecated because other new techniques provide more information. Currently the most widely used techniques are qPCR, expression microarrays, and RNAseq for the transcriptome analysis. In this chapter, these techniques will be reviewed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 278 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 278 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 49 18%
Student > Master 38 14%
Student > Ph. D. Student 31 11%
Researcher 15 5%
Other 10 4%
Other 22 8%
Unknown 113 41%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 80 29%
Agricultural and Biological Sciences 30 11%
Medicine and Dentistry 17 6%
Immunology and Microbiology 5 2%
Computer Science 5 2%
Other 22 8%
Unknown 119 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 March 2023.
All research outputs
#6,084,415
of 24,462,749 outputs
Outputs from Methods in molecular biology
#1,652
of 13,795 outputs
Outputs of similar age
#91,383
of 403,353 outputs
Outputs of similar age from Methods in molecular biology
#204
of 1,460 outputs
Altmetric has tracked 24,462,749 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 13,795 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 87% 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 403,353 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 1,460 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.