You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transcriptome analysis of miRNA–lncRNA–mRNA interactions in the malignant transformation process of gastric cancer initiation
|
|---|---|
| Published in |
Cancer Gene Therapy, May 2017
|
| DOI | 10.1038/cgt.2017.14 |
| Pubmed ID | |
| Authors |
Y Mao, R Liu, H Zhou, S Yin, Q Zhao, X Ding, H Wang |
| Abstract |
Gastric cancer is a common heterogeneous malignancy that is pathologically characterized by the development of chronic atrophic gastritis and dysplasia of the epithelium. The pathogenic mechanisms at the molecular level are completely unclear. In the present study, we first address the expression network and miRNA-lncRNA-mRNA interaction in the malignant transformation process from normal mucosa and atrophic gastritis to a tumor. First, the long non-coding RNA (lncRNA), micro RNA (miRNA) and messenger RNA (mRNA) expression profiles of normal gastric mucosa, atrophic gastritis, gastric cancer and the peri-tumor tissues were analyzed using microarrays. Then, bioinformatic analyses were used to predict the gene targets and analyse their potential roles in tumorigenesis and progression of gastric cancer. Finally, an intersection analysis of microarray data showed that 10 miRNAs and 11 lncRNAs were detected in the malignant transformation process from normal mucosa tissues and atrophic gastritis to tumorigenesis, and many miRNAs and lncRNAs were novel and had important roles. Meanwhile, the significant pathways and biological functions regulated by the deregulated 21 non-coding genes were enriched. In conclusion, our work provides an important theoretical, experimental and clinical foundation for further research on more effective targets for the diagnosis, therapy and prognosis of gastric cancer.Cancer Gene Therapy advance online publication, 19 May 2017; doi:10.1038/cgt.2017.14. |
X Demographics
The data shown below were collected from the profiles of 4 X users 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 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 17% |
| Student > Master | 6 | 14% |
| Student > Doctoral Student | 4 | 10% |
| Student > Bachelor | 4 | 10% |
| Researcher | 3 | 7% |
| Other | 9 | 21% |
| Unknown | 9 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 31% |
| Agricultural and Biological Sciences | 8 | 19% |
| Medicine and Dentistry | 4 | 10% |
| Computer Science | 2 | 5% |
| Immunology and Microbiology | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 9 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 May 2017.
All research outputs
#2,902,420
of 22,973,051 outputs
Outputs from Cancer Gene Therapy
#146
of 1,498 outputs
Outputs of similar age
#55,347
of 312,883 outputs
Outputs of similar age from Cancer Gene Therapy
#2
of 15 outputs
Altmetric has tracked 22,973,051 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,498 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 89% 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 312,883 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.