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Mendeley readers
Attention Score in Context
| Title |
TIGAR, TIGAR, burning bright
|
|---|---|
| Published in |
Cancer & Metabolism, January 2014
|
| DOI | 10.1186/2049-3002-2-1 |
| Pubmed ID | |
| Authors |
Pearl Lee, Karen H Vousden, Eric C Cheung |
| Abstract |
Cancers cells shift their metabolism towards glycolysis in order to help them support the biosynthetic demands necessary to sustain cell proliferation and growth, adapt to stress and avoid excessive reactive oxygen species (ROS) accumulation. While the p53 tumor suppressor protein is known to inhibit cell growth by inducing apoptosis, senescence and cell cycle arrest, recent studies have found that p53 is also able to influence cell metabolism. TIGAR is a p53 target that functions as a fructose-2,6-bisphosphatase, thereby lowering glycolytic flux and promoting antioxidant functions. By protecting cells from oxidative stress, TIGAR may mediate some of the tumor suppressor activity of p53 but could also contribute to tumorigenesis. Here we discuss the activities of TIGAR described so far, and the potential consequences of TIGAR expression on normal and tumor cells. |
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 % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 1% |
| Unknown | 96 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 26% |
| Researcher | 13 | 13% |
| Student > Master | 11 | 11% |
| Student > Bachelor | 10 | 10% |
| Student > Doctoral Student | 6 | 6% |
| Other | 15 | 15% |
| Unknown | 17 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 24 | 25% |
| Agricultural and Biological Sciences | 23 | 24% |
| Medicine and Dentistry | 13 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 5% |
| Engineering | 3 | 3% |
| Other | 9 | 9% |
| Unknown | 20 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 January 2014.
All research outputs
#14,188,008
of 22,741,406 outputs
Outputs from Cancer & Metabolism
#119
of 204 outputs
Outputs of similar age
#173,227
of 304,531 outputs
Outputs of similar age from Cancer & Metabolism
#3
of 5 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 204 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 37th percentile – i.e., 37% 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 304,531 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.