| Title |
p53 modeling as a route to mesothelioma patients stratification and novel therapeutic identification
|
|---|---|
| Published in |
Journal of Translational Medicine, October 2018
|
| DOI | 10.1186/s12967-018-1650-0 |
| Pubmed ID | |
| Authors |
Kun Tian, Emyr Bakker, Michelle Hussain, Alice Guazzelli, Hasen Alhebshi, Parisa Meysami, Constantinos Demonacos, Jean-Marc Schwartz, Luciano Mutti, Marija Krstic-Demonacos |
X Demographics
The data shown below were collected from the profiles of 6 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 | 3 | 50% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 1 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
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 % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 13% |
| Student > Master | 3 | 13% |
| Professor > Associate Professor | 3 | 13% |
| Researcher | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Other | 5 | 21% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 25% |
| Biochemistry, Genetics and Molecular Biology | 4 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
| Engineering | 2 | 8% |
| Computer Science | 2 | 8% |
| Other | 3 | 13% |
| Unknown | 5 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 19 October 2018.
All research outputs
#7,166,548
of 25,342,911 outputs
Outputs from Journal of Translational Medicine
#1,167
of 4,613 outputs
Outputs of similar age
#119,159
of 354,399 outputs
Outputs of similar age from Journal of Translational Medicine
#18
of 96 outputs
Altmetric has tracked 25,342,911 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 4,613 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 74% 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 354,399 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.