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X Demographics
Mendeley readers
Attention Score in Context
Title |
Post-translational regulation enables robust p53 regulation
|
---|---|
Published in |
BMC Systems Biology, August 2013
|
DOI | 10.1186/1752-0509-7-83 |
Pubmed ID | |
Authors |
Yong-Jun Shin, Kai-Yuan Chen, Ali H Sayed, Brandon Hencey, Xiling Shen |
Abstract |
The tumor suppressor protein p53 plays important roles in DNA damage repair, cell cycle arrest and apoptosis. Due to its critical functions, the level of p53 is tightly regulated by a negative feedback mechanism to increase its tolerance towards fluctuations and disturbances. Interestingly, the p53 level is controlled by post-translational regulation rather than transcriptional regulation in this feedback mechanism. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 8% |
India | 1 | 8% |
Unknown | 10 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 17% |
Student > Postgraduate | 2 | 17% |
Researcher | 2 | 17% |
Student > Ph. D. Student | 1 | 8% |
Unspecified | 1 | 8% |
Other | 1 | 8% |
Unknown | 3 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 3 | 25% |
Computer Science | 2 | 17% |
Biochemistry, Genetics and Molecular Biology | 1 | 8% |
Unspecified | 1 | 8% |
Medicine and Dentistry | 1 | 8% |
Other | 1 | 8% |
Unknown | 3 | 25% |
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 02 September 2013.
All research outputs
#18,345,822
of 22,719,618 outputs
Outputs from BMC Systems Biology
#834
of 1,142 outputs
Outputs of similar age
#149,048
of 199,368 outputs
Outputs of similar age from BMC Systems Biology
#18
of 26 outputs
Altmetric has tracked 22,719,618 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 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 11th percentile – i.e., 11% 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 199,368 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.