| Title |
A Systems Biology Roadmap to Decode mTOR Control System in Cancer
|
|---|---|
| Published in |
Interdisciplinary Sciences: Computational Life Sciences, September 2019
|
| DOI | 10.1007/s12539-019-00347-6 |
| Pubmed ID | |
| Authors |
Mohammadreza Dorvash, Mohammad Farahmandnia, Iman Tavassoly |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Canada | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 18% |
| Student > Bachelor | 2 | 12% |
| Researcher | 2 | 12% |
| Student > Ph. D. Student | 2 | 12% |
| Student > Doctoral Student | 1 | 6% |
| Other | 4 | 24% |
| Unknown | 3 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 47% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 12% |
| Agricultural and Biological Sciences | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 24% |
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 30 September 2019.
All research outputs
#14,574,276
of 23,344,526 outputs
Outputs from Interdisciplinary Sciences: Computational Life Sciences
#88
of 299 outputs
Outputs of similar age
#189,660
of 343,303 outputs
Outputs of similar age from Interdisciplinary Sciences: Computational Life Sciences
#2
of 2 outputs
Altmetric has tracked 23,344,526 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 299 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 67% 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 343,303 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.