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Attention Score in Context
Chapter title |
Network Analysis of Gene Expression
|
---|---|
Chapter number | 16 |
Book title |
Gene Expression Analysis
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7834-2_16 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7833-5, 978-1-4939-7834-2
|
Authors |
Roby Joehanes, Joehanes, Roby |
Abstract |
Studies have pointed out that the expression of genes are highly regulated, which result in a cascade of distinct patterns of coexpression forming a network. Identifying and understanding such patterns is crucial in deciphering molecular mechanisms that underlie the pathophysiology of diseases. With the advance of high throughput assay of messenger RNA (mRNA) and high performance computing, reconstructing such network from molecular data such as gene expression is now possible. This chapter discusses an overview of methods of constructing such networks, practical considerations, and an example. |
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 % |
---|---|---|
Unknown | 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 28% |
Student > Bachelor | 4 | 22% |
Student > Master | 2 | 11% |
Unspecified | 1 | 6% |
Librarian | 1 | 6% |
Other | 1 | 6% |
Unknown | 4 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 5 | 28% |
Biochemistry, Genetics and Molecular Biology | 4 | 22% |
Unspecified | 1 | 6% |
Computer Science | 1 | 6% |
Chemistry | 1 | 6% |
Other | 0 | 0% |
Unknown | 6 | 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 17 May 2018.
All research outputs
#20,493,046
of 23,056,273 outputs
Outputs from Methods in molecular biology
#9,971
of 13,196 outputs
Outputs of similar age
#378,312
of 442,476 outputs
Outputs of similar age from Methods in molecular biology
#1,194
of 1,499 outputs
Altmetric has tracked 23,056,273 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 13,196 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 442,476 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 1,499 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.