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Attention Score in Context
| Title |
Comprehensive transcriptional landscape of aging mouse liver
|
|---|---|
| Published in |
BMC Genomics, November 2015
|
| DOI | 10.1186/s12864-015-2061-8 |
| Pubmed ID | |
| Authors |
Ryan R. White, Brandon Milholland, Sheila L. MacRae, Mingyan Lin, Deyou Zheng, Jan Vijg |
| Abstract |
Mammalian aging is a highly complex process, a full mechanistic understanding of which is still lacking. One way to help understand the molecular changes underlying aging is through a comprehensive analysis of the transcriptome, the primary determinant of age-related phenotypic diversity. Previous studies have relied on microarray analysis to examine gene expression profiles in different tissues of aging organisms. However, studies have shown microarray-based transcriptional profiling is less accurate and not fully capable of capturing certain intricacies of the global transcriptome. Here, using directional whole transcriptome RNA-sequencing of aged mouse liver we have identified a comprehensive high-resolution profile of differentially expressed liver transcripts comprised of canonical protein-coding transcripts, transcript isoforms, and non-coding RNA transcripts, including pseudogenes, long non-coding RNAs and small RNA species. Results show extensive age-related changes in every component of the mouse liver transcriptome and a pronounced increase in inter-individual variation. Functional annotation of the protein-coding mRNAs and isoforms indicated broad alterations in immune response, cell activation, metabolic processes, and RNA modification. Interestingly, multiple lncRNAs (Meg3, Rian, Mirg) from the Dlk-Dio3 microRNA locus were found up-regulated in aging liver, classifying this locus as a putative regulatory hotspot locus in aging liver. Moreover, integration of the altered non-coding RNAs and protein-coding transcripts into interaction networks of age-related change revealed inflammation, cellular proliferation, and metabolism as the dominant aging phenotypes in mouse liver. Our analyses provide the first comprehensive dissection of the transcriptional landscape in aging mouse liver. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
| France | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | <1% |
| Netherlands | 1 | <1% |
| Germany | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Unknown | 103 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 22% |
| Researcher | 20 | 19% |
| Student > Master | 12 | 11% |
| Student > Bachelor | 9 | 8% |
| Student > Doctoral Student | 8 | 7% |
| Other | 11 | 10% |
| Unknown | 23 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 33 | 31% |
| Agricultural and Biological Sciences | 25 | 23% |
| Medicine and Dentistry | 8 | 7% |
| Computer Science | 3 | 3% |
| Immunology and Microbiology | 3 | 3% |
| Other | 12 | 11% |
| Unknown | 23 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 09 October 2016.
All research outputs
#5,472,708
of 22,832,057 outputs
Outputs from BMC Genomics
#2,164
of 10,655 outputs
Outputs of similar age
#68,828
of 285,414 outputs
Outputs of similar age from BMC Genomics
#57
of 383 outputs
Altmetric has tracked 22,832,057 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,655 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 79% 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 285,414 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 383 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.