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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MiR-34b is associated with clinical outcome in triple-negative breast cancer patients
|
|---|---|
| Published in |
Diagnostic Pathology, March 2012
|
| DOI | 10.1186/1746-1596-7-31 |
| Pubmed ID | |
| Authors |
Marek Svoboda, Jiri Sana, Martina Redova, Jiri Navratil, Marketa Palacova, Pavel Fabian, Ondrej Slaby, Rostislav Vyzula |
| Abstract |
Breast cancer is the most common malignancy with the highest incidence rates among women worldwide. Triple-negative breast cancer (TNBC) represents the major phenotype of basal-like molecular subtype of breast cancer, characterized by higher incidence in young women and a very poor prognosis. MicroRNAs (miRNAs) are small non-coding RNAs playing significant role in the pathogenesis of many cancers including breast cancer. Therefore, miRNAs are also potential prognostic and/or predictive biomarkers in triple-negative breast cancer patients. |
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 % |
|---|---|---|
| Chile | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Belgium | 1 | 3% |
| Unknown | 34 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 22% |
| Researcher | 7 | 19% |
| Student > Bachelor | 4 | 11% |
| Student > Ph. D. Student | 3 | 8% |
| Lecturer | 2 | 5% |
| Other | 6 | 16% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 22% |
| Agricultural and Biological Sciences | 7 | 19% |
| Medicine and Dentistry | 6 | 16% |
| Computer Science | 3 | 8% |
| Immunology and Microbiology | 2 | 5% |
| Other | 5 | 14% |
| Unknown | 6 | 16% |
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 March 2012.
All research outputs
#18,305,470
of 22,663,969 outputs
Outputs from Diagnostic Pathology
#755
of 1,118 outputs
Outputs of similar age
#124,204
of 160,668 outputs
Outputs of similar age from Diagnostic Pathology
#10
of 17 outputs
Altmetric has tracked 22,663,969 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 1,118 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 15th percentile – i.e., 15% 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 160,668 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.