| Title |
Regulation of miR-19 to Breast Cancer Chemoresistance Through Targeting PTEN
|
|---|---|
| Published in |
Pharmaceutical Research, August 2011
|
| DOI | 10.1007/s11095-011-0570-y |
| Pubmed ID | |
| Authors |
Zhongxing Liang, Yuhua Li, Ke Huang, Nicholas Wagar, Hyunsuk Shim |
| Abstract |
To explore whether miR-19 is involved in the regulation of multidrug resistance (MDR), one of the main causes of breast cancer mortality, and modulates sensitivity of tumor cells to chemotherapeutic agents. |
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 % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 2% |
| Czechia | 1 | 2% |
| Unknown | 51 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 34% |
| Student > Master | 8 | 15% |
| Researcher | 7 | 13% |
| Student > Doctoral Student | 5 | 9% |
| Student > Bachelor | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 8 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 28% |
| Biochemistry, Genetics and Molecular Biology | 12 | 23% |
| Medicine and Dentistry | 7 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Materials Science | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 12 | 23% |
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 20 August 2011.
All research outputs
#18,295,723
of 22,651,245 outputs
Outputs from Pharmaceutical Research
#2,472
of 2,846 outputs
Outputs of similar age
#102,093
of 123,839 outputs
Outputs of similar age from Pharmaceutical Research
#29
of 32 outputs
Altmetric has tracked 22,651,245 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 2,846 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 7th percentile – i.e., 7% 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 123,839 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.