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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Pseudogene-Expressed RNAs: Emerging Roles in Gene Regulation and Disease.
|
|---|---|
| Chapter number | 442 |
| Book title |
Long Non-coding RNAs in Human Disease
|
| Published in |
Current topics in microbiology and immunology, May 2015
|
| DOI | 10.1007/82_2015_442 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-923906-4, 978-3-31-923907-1
|
| Authors |
Grandér, Dan, Johnsson, Per, Dan Grandér, Per Johnsson |
| Abstract |
Pseudogenes have for long been considered as non-functional relics littering the human genome. Only now, it is becoming apparent that many pseudogenes are transcribed into long noncoding RNAs, some with proven biological functions. Here, we review the current knowledge of pseudogenes and their widespread functional properties with an emphasis on pseudogenes that have been functionally investigated in greater detail. Pseudogenes are emerging as a novel class of long noncoding RNAs functioning, for example, through microRNA sponging and chromatin remodeling. The examples discussed herein underline that pseudogene-encoded RNAs are important regulatory molecules involved in diseases such as cancer. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| France | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 33 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 32% |
| Student > Doctoral Student | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Student > Master | 3 | 9% |
| Other | 5 | 15% |
| Unknown | 6 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 24% |
| Agricultural and Biological Sciences | 7 | 21% |
| Medicine and Dentistry | 5 | 15% |
| Neuroscience | 2 | 6% |
| Immunology and Microbiology | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 7 | 21% |
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 29 July 2016.
All research outputs
#18,410,971
of 22,805,349 outputs
Outputs from Current topics in microbiology and immunology
#525
of 681 outputs
Outputs of similar age
#192,359
of 265,802 outputs
Outputs of similar age from Current topics in microbiology and immunology
#7
of 7 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 681 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 12th percentile – i.e., 12% 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 265,802 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.