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X Demographics
Mendeley readers
| Title |
Deciphering the role of natural variation in age-related protein homeostasis
|
|---|---|
| Published in |
BMC Biology, September 2013
|
| DOI | 10.1186/1741-7007-11-102 |
| Pubmed ID | |
| Authors |
Matt Kaeberlein |
| Abstract |
Understanding the genetic basis of age-related diseases is a critical step toward developing therapies that promote healthy aging. Numerous genes have been identified that modulate lifespan, but the influence of natural variation in aging has not been well studied. A new report utilizing a transgenic protein aggregation model in Caenorhabditis elegans has provided important tools and insights into the relationship between natural genetic variation, protein aggregation, and age-related pathology.See research article: http://www.biomedcentral.com/1741-7007/11/100. |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 20% |
| Other | 2 | 13% |
| Professor | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Student > Postgraduate | 2 | 13% |
| Other | 2 | 13% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 47% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Computer Science | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Engineering | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 3 | 20% |