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X Demographics
Mendeley readers
Attention Score in Context
| Title |
microRNA 490-3P enhances the drug-resistance of human ovarian cancer cells
|
|---|---|
| Published in |
Journal of Ovarian Research, August 2014
|
| DOI | 10.1186/s13048-014-0084-4 |
| Pubmed ID | |
| Authors |
Shuo Chen, Xi Chen, Yin-Ling Xiu, Kai-Xuan Sun, Zhi-Hong Zong, Yang Zhao |
| Abstract |
MicroRNAs (miRNAs) are non-coding, single-stranded small RNAs that regulate gene expression negatively, which is involved in fundamental cellular processes. In this study, we investigated the role of miR-490-3P in the development of drug resistance in ovarian cancer cells. |
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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 4% |
| Unknown | 23 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 33% |
| Student > Master | 4 | 17% |
| Researcher | 3 | 13% |
| Student > Bachelor | 2 | 8% |
| Student > Postgraduate | 2 | 8% |
| Other | 1 | 4% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 25% |
| Agricultural and Biological Sciences | 6 | 25% |
| Biochemistry, Genetics and Molecular Biology | 5 | 21% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Chemistry | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 4 | 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 10 October 2014.
All research outputs
#20,239,689
of 22,766,595 outputs
Outputs from Journal of Ovarian Research
#426
of 583 outputs
Outputs of similar age
#198,499
of 236,953 outputs
Outputs of similar age from Journal of Ovarian Research
#7
of 7 outputs
Altmetric has tracked 22,766,595 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 583 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 236,953 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 7 others from the same source and published within six weeks on either side of this one.