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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MiR-124 inhibits the migration and invasion of ovarian cancer cells by targeting SphK1
|
|---|---|
| Published in |
Journal of Ovarian Research, November 2013
|
| DOI | 10.1186/1757-2215-6-84 |
| Pubmed ID | |
| Authors |
Hanwen Zhang, Qiuyu Wang, Qian Zhao, Wen Di |
| Abstract |
Epithelial ovarian cancer (EOC) is still a major gynecologic problem with poor 5 year survival rate due to distance metastases, despite routine surgery and chemotherapy. The precise underlying molecular mechanisms that trigger EOC migration and invasion are unclear. Recent studies suggest that the expression of microRNAs is widely dysregulated in ovarian cancer; and that they have evolved into tumorigenic processes, including cell proliferation, apoptosis and motility. |
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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 45% |
| Student > Master | 5 | 16% |
| Student > Ph. D. Student | 4 | 13% |
| Student > Bachelor | 2 | 6% |
| Unknown | 6 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 32% |
| Biochemistry, Genetics and Molecular Biology | 8 | 26% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 10% |
| Medicine and Dentistry | 3 | 10% |
| Unknown | 7 | 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 02 December 2013.
All research outputs
#20,211,690
of 22,733,113 outputs
Outputs from Journal of Ovarian Research
#425
of 582 outputs
Outputs of similar age
#266,878
of 306,368 outputs
Outputs of similar age from Journal of Ovarian Research
#9
of 13 outputs
Altmetric has tracked 22,733,113 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 582 research outputs from this source. They receive a mean Attention Score of 3.2. 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 306,368 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 13 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.