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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bioinformatics analysis of Rab GDP dissociation inhibitor beta and its expression in non-small cell lung cancer
|
|---|---|
| Published in |
Diagnostic Pathology, November 2014
|
| DOI | 10.1186/s13000-014-0201-0 |
| Pubmed ID | |
| Authors |
Zongjuan Ming, Chunli Guo, Meihua Jiang, Wei Li, Yuping Zhang, Na Fan, Yujie Zhong, Xia Meng, Shuanying Yang |
| Abstract |
Lung cancer has been considered as one of the most important causes of cancer-related mortality worldwide. To predict lung cancer, researchers identified several molecular markers. However, many underlying markers of lung cancer remain unclear. One of these markers is Rab GDP dissociation inhibitor beta (GDIβ), which is related to tumorigenicity, development and invasion. This study was designed to analyze the biological characteristics of Rab GDIβ and to detect the mRNA and protein expressions of Rab GDIβ in lung cancer cells; this study also aimed to investigate the functions of this protein in lung cancer. |
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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 7% |
| Brazil | 1 | 7% |
| Unknown | 12 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 14% |
| Professor | 2 | 14% |
| Student > Bachelor | 2 | 14% |
| Student > Postgraduate | 2 | 14% |
| Lecturer | 1 | 7% |
| Other | 4 | 29% |
| Unknown | 1 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 14% |
| Medicine and Dentistry | 2 | 14% |
| Business, Management and Accounting | 1 | 7% |
| Nursing and Health Professions | 1 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Other | 4 | 29% |
| Unknown | 3 | 21% |
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 05 November 2014.
All research outputs
#18,382,900
of 22,769,322 outputs
Outputs from Diagnostic Pathology
#757
of 1,123 outputs
Outputs of similar age
#187,768
of 262,191 outputs
Outputs of similar age from Diagnostic Pathology
#43
of 54 outputs
Altmetric has tracked 22,769,322 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 1,123 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 16th percentile – i.e., 16% 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 262,191 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.