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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Long non-coding RNA MEG3 inhibits NSCLC cells proliferation and induces apoptosis by affecting p53 expression
|
|---|---|
| Published in |
BMC Cancer, October 2013
|
| DOI | 10.1186/1471-2407-13-461 |
| Pubmed ID | |
| Authors |
Kai-hua Lu, Wei Li, Xiang-hua Liu, Ming Sun, Mei-ling Zhang, Wei-qin Wu, Wei-ping Xie, Ya-yi Hou |
| Abstract |
Long non-coding RNAs play an important role in tumorigenesis, hence, identification of cancer-associated lncRNAs and investigation of their biological functions and molecular mechanisms are important for understanding the development and progression of cancer. Recently, the downregulation of lncRNA MEG3 has been observed in various human cancers. However, its role in non-small cell lung cancer (NSCLC) is unknown. The aim of this study was to examine the expression pattern of MEG3 in NSCLC and to evaluate its biological role and clinical significance in tumor progression. |
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 % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Ireland | 1 | <1% |
| Unknown | 131 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 23% |
| Student > Master | 22 | 17% |
| Researcher | 19 | 14% |
| Student > Bachelor | 16 | 12% |
| Student > Postgraduate | 10 | 8% |
| Other | 16 | 12% |
| Unknown | 20 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 48 | 36% |
| Agricultural and Biological Sciences | 27 | 20% |
| Medicine and Dentistry | 21 | 16% |
| Immunology and Microbiology | 4 | 3% |
| Unspecified | 2 | 2% |
| Other | 5 | 4% |
| Unknown | 26 | 20% |
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 25 November 2013.
All research outputs
#15,284,663
of 22,729,647 outputs
Outputs from BMC Cancer
#4,107
of 8,270 outputs
Outputs of similar age
#128,799
of 209,114 outputs
Outputs of similar age from BMC Cancer
#51
of 102 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,270 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 40th percentile – i.e., 40% 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 209,114 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.