| Title |
A comparative cellular and molecular biology of longevity database
|
|---|---|
| Published in |
GeroScience, July 2012
|
| DOI | 10.1007/s11357-012-9458-y |
| Pubmed ID | |
| Authors |
Jeffrey A. Stuart, Ping Liang, Xuemei Luo, Melissa M. Page, Emily J. Gallagher, Casey A. Christoff, Ellen L. Robb |
| Abstract |
Discovering key cellular and molecular traits that promote longevity is a major goal of aging and longevity research. One experimental strategy is to determine which traits have been selected during the evolution of longevity in naturally long-lived animal species. This comparative approach has been applied to lifespan research for nearly four decades, yielding hundreds of datasets describing aspects of cell and molecular biology hypothesized to relate to animal longevity. Here, we introduce a Comparative Cellular and Molecular Biology of Longevity Database, available at ( http://genomics.brocku.ca/ccmbl/ ), as a compendium of comparative cell and molecular data presented in the context of longevity. This open access database will facilitate the meta-analysis of amalgamated datasets using standardized maximum lifespan (MLSP) data (from AnAge). The first edition contains over 800 data records describing experimental measurements of cellular stress resistance, reactive oxygen species metabolism, membrane composition, protein homeostasis, and genome homeostasis as they relate to vertebrate species MLSP. The purpose of this review is to introduce the database and briefly demonstrate its use in the meta-analysis of combined datasets. |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| Unknown | 23 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Researcher | 3 | 13% |
| Student > Postgraduate | 3 | 13% |
| Professor > Associate Professor | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 5 | 21% |
| Unknown | 5 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 33% |
| Biochemistry, Genetics and Molecular Biology | 7 | 29% |
| Medicine and Dentistry | 2 | 8% |
| Social Sciences | 1 | 4% |
| Physics and Astronomy | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 5 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 30 July 2012.
All research outputs
#4,157,778
of 25,373,627 outputs
Outputs from GeroScience
#530
of 1,594 outputs
Outputs of similar age
#27,995
of 179,047 outputs
Outputs of similar age from GeroScience
#5
of 18 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,594 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.0. This one has gotten more attention than average, scoring higher than 66% of its peers.
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We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.