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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Application of RNA-Seq Technology in Cancer Chemoprevention.
|
|---|---|
| Chapter number | 4 |
| Book title |
Cancer Chemoprevention
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3191-0_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3190-3, 978-1-4939-3191-0
|
| Authors |
Goeman, Frauke, Fanciulli, Maurizio, Frauke Goeman, Maurizio Fanciulli |
| Abstract |
RNA-sequencing is a revolutionary tool to follow differential expression after treatment with cancer chemopreventive agents. It allows a real genome-wide screening independent of prior assumptions and is well suited for analyzing coding but also long noncoding RNAs. It still consents the discovery of new genes and isoforms and increased our knowledge of antisense and other noncoding RNAs in a tremendous manner. Moreover, it permits to detect low-abundance and biologically critical isoforms and reveals genetic variants and gene fusions in one single assay. Here, we provide a detailed protocol for stranded RNA-sequencing. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 17% |
| United States | 1 | 17% |
| France | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 1 | 11% |
| Unknown | 8 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 22% |
| Researcher | 2 | 22% |
| Student > Bachelor | 1 | 11% |
| Unspecified | 1 | 11% |
| Other | 1 | 11% |
| Other | 1 | 11% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 44% |
| Biochemistry, Genetics and Molecular Biology | 2 | 22% |
| Unspecified | 1 | 11% |
| Neuroscience | 1 | 11% |
| Unknown | 1 | 11% |
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 08 September 2016.
All research outputs
#12,939,060
of 22,834,308 outputs
Outputs from Methods in molecular biology
#3,292
of 13,126 outputs
Outputs of similar age
#179,328
of 393,581 outputs
Outputs of similar age from Methods in molecular biology
#310
of 1,470 outputs
Altmetric has tracked 22,834,308 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 13,126 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 74% 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 393,581 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 53% of its contemporaries.
We're also able to compare this research output to 1,470 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.