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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Combined microRNA and ER expression: a new classifier for familial and sporadic breast cancer patients
|
|---|---|
| Published in |
Journal of Translational Medicine, November 2014
|
| DOI | 10.1186/s12967-014-0319-6 |
| Pubmed ID | |
| Authors |
Katia Danza, Simona De Summa, Brunella Pilato, Massimo Carella, Orazio Palumbo, Ondina Popescu, Angelo Paradiso, Rosamaria Pinto, Stefania Tommasi |
| Abstract |
The role of miRNAs in familial breast cancer (fBC) is poorly investigated as also in the BRCA-like tumors. To identify a specific miRNA expression pattern which could allow a better fBC classification not only based on clinico-pathological and immunophenotypical parameters we analyzed miRNA profile in familial and sporadic samples. Moreover since BRCA1 tumors and sporadic triple negative (TN) breast tumors share similarities regarding clinical outcomes and some histological characteristics, we focused on TN and not TN cases. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 24% |
| Student > Bachelor | 5 | 15% |
| Professor > Associate Professor | 3 | 9% |
| Student > Master | 3 | 9% |
| Other | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 7 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 26% |
| Biochemistry, Genetics and Molecular Biology | 6 | 18% |
| Agricultural and Biological Sciences | 5 | 15% |
| Engineering | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 7 | 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 20 November 2014.
All research outputs
#17,732,540
of 22,771,140 outputs
Outputs from Journal of Translational Medicine
#2,734
of 3,984 outputs
Outputs of similar age
#248,140
of 362,502 outputs
Outputs of similar age from Journal of Translational Medicine
#79
of 122 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,984 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 26th percentile – i.e., 26% 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 362,502 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 122 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.