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Mendeley readers
Attention Score in Context
Title |
MicroRNA-194 inhibits epithelial to mesenchymal transition of endometrial cancer cells by targeting oncogene BMI-1
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Published in |
Molecular Cancer, August 2011
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DOI | 10.1186/1476-4598-10-99 |
Pubmed ID | |
Authors |
Peixin Dong, Masanori Kaneuchi, Hidemichi Watari, Junichi Hamada, Satoko Sudo, Jingfang Ju, Noriaki Sakuragi |
Abstract |
Epithelial-mesenchymal transition (EMT) is the key process driving cancer metastasis. Oncogene/self renewal factor BMI-1 has been shown to induce EMT in cancer cells. Recent studies have implied that noncoding microRNAs (miRNAs) act as crucial modulators for EMT. The aims of this study was to determine the roles of BMI-1 in inducing EMT of endometrial cancer (EC) cells and the possible role of miRNA in controlling BMI-1 expression. |
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 % |
---|---|---|
Australia | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 2 | 2% |
Japan | 2 | 2% |
Sweden | 1 | 1% |
Israel | 1 | 1% |
Germany | 1 | 1% |
Denmark | 1 | 1% |
Portugal | 1 | 1% |
United Kingdom | 1 | 1% |
United States | 1 | 1% |
Other | 0 | 0% |
Unknown | 87 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 29 | 30% |
Researcher | 19 | 19% |
Student > Bachelor | 9 | 9% |
Student > Postgraduate | 8 | 8% |
Professor > Associate Professor | 6 | 6% |
Other | 17 | 17% |
Unknown | 10 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 31 | 32% |
Biochemistry, Genetics and Molecular Biology | 22 | 22% |
Medicine and Dentistry | 20 | 20% |
Design | 2 | 2% |
Veterinary Science and Veterinary Medicine | 1 | 1% |
Other | 7 | 7% |
Unknown | 15 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 23 October 2022.
All research outputs
#5,763,559
of 23,571,271 outputs
Outputs from Molecular Cancer
#415
of 1,779 outputs
Outputs of similar age
#32,134
of 124,767 outputs
Outputs of similar age from Molecular Cancer
#9
of 20 outputs
Altmetric has tracked 23,571,271 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,779 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 76% 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 124,767 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.