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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Biclustering of transcriptome sequencing data reveals human tissue-specific circular RNAs
|
|---|---|
| Published in |
BMC Genomics, January 2018
|
| DOI | 10.1186/s12864-017-4335-9 |
| Pubmed ID | |
| Authors |
Yu-Chen Liu, Yu-Jung Chiu, Jian-Rong Li, Chuan-Hu Sun, Chun-Chi Liu, Hsien-Da Huang |
| Abstract |
Emerging evidence has been experimentally confirmed the tissue-specific expression of circRNAs (circRNAs). Global identification of human tissue-specific circRNAs is crucial for the functionality study, which facilitates the discovery of circRNAs for potential diagnostic biomarkers. In this study, circRNA back-splicing junctions were identified from 465 publicly available transcriptome sequencing samples. The number of reads aligned to these identified junctions was normalized with the read length and sequence depth for each sample. We generated 66 models representing enriched circRNAs among human tissue transcriptome through biclustering algorithm. The result provides thousands of newly identified human tissue-specific circRNAs. This result suggests that expression of circRNAs is not prompted by random splicing error but serving molecular functional roles. We also identified circRNAs enriched within circulating system, which, along with identified tissue-specific circRNAs, can serve as potential diagnostic biomarkers. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 25% |
| Student > Ph. D. Student | 3 | 19% |
| Student > Bachelor | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Professor | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 6 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 38% |
| Agricultural and Biological Sciences | 1 | 6% |
| Neuroscience | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Unknown | 7 | 44% |
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 25 January 2018.
All research outputs
#18,583,054
of 23,016,919 outputs
Outputs from BMC Genomics
#8,229
of 10,697 outputs
Outputs of similar age
#330,466
of 441,339 outputs
Outputs of similar age from BMC Genomics
#166
of 208 outputs
Altmetric has tracked 23,016,919 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 10,697 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 208 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.