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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Gap Junction Protocols
|
|---|---|
| Chapter number | 2 |
| Book title |
Gap Junction Protocols
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3664-9_2 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3662-5, 978-1-4939-3664-9
|
| Authors |
Liu, Xiaoming, Xu, Canxia, Xiaoming Liu, Canxia Xu |
| Editors |
Mathieu Vinken, Scott R. Johnstone |
| Abstract |
Connexins are the structural proteins of gap junctions and their functioning as tumor suppressors is well known. Epigenetic modifications, such as methylation of connexin genes, play important roles in regulating gene expression. Over the past decade, several methods have been applied to characterize DNA methylation-specific loci of connexin genes. This chapter describes analysis of selective connexin32 and connexin43 gene DNA methylation in human gastric tissues using methylation-specific PCR, bisulfite-specific PCR sequencing as well as MassArray techniques. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 33% |
| Lecturer > Senior Lecturer | 1 | 33% |
| Unknown | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 33% |
| Medicine and Dentistry | 1 | 33% |
| Unknown | 1 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 May 2016.
All research outputs
#20,328,845
of 22,873,031 outputs
Outputs from Methods in molecular biology
#9,915
of 13,130 outputs
Outputs of similar age
#330,715
of 393,675 outputs
Outputs of similar age from Methods in molecular biology
#1,054
of 1,471 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,130 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 393,675 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.