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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploring and exploiting the fundamental role of microRNAs in tumor pathogenesis
|
|---|---|
| Published in |
OncoTargets and therapy, November 2013
|
| DOI | 10.2147/ott.s52730 |
| Pubmed ID | |
| Authors |
Xiaoqing Jiang, Qingbao Cheng, Bin Yi, Aihua Wang |
| Abstract |
miRNAs (miRs) are short RNA molecules that are involved in the posttranscriptional regulation of mRNA. The roles of miRs in tumor pathogenesis have only recently become a focus of research. It is becoming increasingly clear that miRs are important regulators of apoptosis, proliferation, invasion, and metastasis in cancer cells during cancer genesis and progression, furthering our understanding of cancer. In the present review, we summarize and evaluate the recent advances in our understanding of the characteristics of miRs as well as their regulated functions in cancer stem cells (CSCs), the epithelial-mesenchymal transition (EMT), and the tumor microenvironment (TM), describing their roles in tumor pathogenesis and their possible use as new therapeutic targets and biomarkers. |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 26% |
| Student > Ph. D. Student | 8 | 21% |
| Student > Master | 5 | 13% |
| Student > Bachelor | 4 | 10% |
| Student > Doctoral Student | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 28% |
| Biochemistry, Genetics and Molecular Biology | 8 | 21% |
| Medicine and Dentistry | 8 | 21% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Computer Science | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 4 | 10% |
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 22 November 2013.
All research outputs
#18,354,532
of 22,731,677 outputs
Outputs from OncoTargets and therapy
#1,484
of 2,928 outputs
Outputs of similar age
#158,882
of 213,637 outputs
Outputs of similar age from OncoTargets and therapy
#18
of 27 outputs
Altmetric has tracked 22,731,677 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 2,928 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 32nd percentile – i.e., 32% 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 213,637 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.