| Title |
Subtype classification for prediction of prognosis of breast cancer from a biomarker panel: correlations and indications
|
|---|---|
| Published in |
International Journal of Nanomedicine, February 2014
|
| DOI | 10.2147/ijn.s58270 |
| Pubmed ID | |
| Authors |
Chuang Chen, Jing-Ping Yuan, Wen Wei, Yi Tu, Feng Yao, Xue-Qin Yang, Jin-Zhong Sun, Sheng-Rong Sun, Yan Li |
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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 2% |
| Nigeria | 1 | 2% |
| Unknown | 42 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 20% |
| Researcher | 6 | 14% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Doctoral Student | 4 | 9% |
| Student > Bachelor | 4 | 9% |
| Other | 11 | 25% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 41% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 11% |
| Biochemistry, Genetics and Molecular Biology | 5 | 11% |
| Agricultural and Biological Sciences | 5 | 11% |
| Nursing and Health Professions | 1 | 2% |
| Other | 5 | 11% |
| Unknown | 5 | 11% |
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 24 January 2019.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from International Journal of Nanomedicine
#2,470
of 4,123 outputs
Outputs of similar age
#203,533
of 322,718 outputs
Outputs of similar age from International Journal of Nanomedicine
#83
of 106 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,123 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 28th percentile – i.e., 28% 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 322,718 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.