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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Disorder and residual helicity alter p53-Mdm2 binding affinity and signaling in cells
|
|---|---|
| Published in |
Nature Chemical Biology, November 2014
|
| DOI | 10.1038/nchembio.1668 |
| Pubmed ID | |
| Authors |
Wade Borcherds, François-Xavier Theillet, Andrea Katzer, Ana Finzel, Katie M Mishall, Anne T Powell, Hongwei Wu, Wanda Manieri, Christoph Dieterich, Philipp Selenko, Alexander Loewer, Gary W Daughdrill |
| Abstract |
Levels of residual structure in disordered interaction domains determine in vitro binding affinities, but whether they exert similar roles in cells is not known. Here, we show that increasing residual p53 helicity results in stronger Mdm2 binding, altered p53 dynamics, impaired target gene expression and failure to induce cell cycle arrest upon DNA damage. These results establish that residual structure is an important determinant of signaling fidelity in cells. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
| United Kingdom | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Denmark | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 197 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 24% |
| Researcher | 32 | 16% |
| Student > Bachelor | 20 | 10% |
| Student > Master | 18 | 9% |
| Professor > Associate Professor | 12 | 6% |
| Other | 31 | 15% |
| Unknown | 40 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 64 | 32% |
| Agricultural and Biological Sciences | 35 | 17% |
| Chemistry | 30 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 3% |
| Engineering | 6 | 3% |
| Other | 11 | 5% |
| Unknown | 49 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 2015.
All research outputs
#2,219,561
of 22,769,322 outputs
Outputs from Nature Chemical Biology
#1,254
of 3,056 outputs
Outputs of similar age
#27,603
of 261,400 outputs
Outputs of similar age from Nature Chemical Biology
#30
of 61 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,056 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.3. This one has gotten more attention than average, scoring higher than 58% 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 261,400 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 89% of its contemporaries.
We're also able to compare this research output to 61 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 50% of its contemporaries.