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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The AKT inhibitor AZD5363 is selectively active in PI3KCA mutant gastric cancer, and sensitizes a patient-derived gastric cancer xenograft model with PTEN loss to Taxotere
|
|---|---|
| Published in |
Journal of Translational Medicine, October 2013
|
| DOI | 10.1186/1479-5876-11-241 |
| Pubmed ID | |
| Authors |
Jing Li, Barry R Davies, Sufang Han, Minhua Zhou, Yu Bai, Jingchuan Zhang, Yan Xu, Lily Tang, Huiying Wang, Yuan Jie Liu, Xiaolu Yin, Qunsheng Ji, De-Hua Yu |
| Abstract |
Activation of the PI3K/AKT pathway is a common phenomenon in cancer due to multiple mechanisms, including mutation of PI3KCA, loss or mutation of PTEN, or over-expression of receptor tyrosine kinases. We recently developed a novel AKT kinase inhibitor, AZD5363, and demonstrated that HGC27, a cell line harboring both PI3KCA mutation and PTEN loss, displayed the greatest sensitivity to this AKT inhibitor in vitro and in vivo. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 25% |
| Researcher | 10 | 21% |
| Student > Postgraduate | 5 | 10% |
| Student > Bachelor | 5 | 10% |
| Student > Master | 4 | 8% |
| Other | 8 | 17% |
| Unknown | 4 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 33% |
| Agricultural and Biological Sciences | 10 | 21% |
| Biochemistry, Genetics and Molecular Biology | 5 | 10% |
| Chemistry | 4 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 8 | 17% |
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 October 2013.
All research outputs
#20,203,867
of 22,723,682 outputs
Outputs from Journal of Translational Medicine
#3,303
of 3,973 outputs
Outputs of similar age
#181,358
of 207,304 outputs
Outputs of similar age from Journal of Translational Medicine
#37
of 67 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,973 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 1st percentile – i.e., 1% 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 207,304 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.