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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification and Validation of Oncologic miRNA Biomarkers for Luminal A-like Breast Cancer
|
|---|---|
| Published in |
PLOS ONE, January 2014
|
| DOI | 10.1371/journal.pone.0087032 |
| Pubmed ID | |
| Authors |
Ailbhe M. McDermott, Nicola Miller, Deirdre Wall, Lorcan M. Martyn, Graham Ball, Karl J. Sweeney, Michael J. Kerin |
| Abstract |
Breast cancer is a common disease with distinct tumor subtypes phenotypically characterized by ER and HER2/neu receptor status. MiRNAs play regulatory roles in tumor initiation and progression, and altered miRNA expression has been demonstrated in a variety of cancer states presenting the potential for exploitation as cancer biomarkers. Blood provides an excellent medium for biomarker discovery. This study investigated systemic miRNAs differentially expressed in Luminal A-like (ER+PR+HER2/neu-) breast cancer and their effectiveness as oncologic biomarkers in the clinical setting. |
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 | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| Denmark | 1 | 1% |
| Unknown | 89 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 21% |
| Researcher | 13 | 14% |
| Student > Ph. D. Student | 10 | 11% |
| Student > Bachelor | 8 | 9% |
| Student > Doctoral Student | 6 | 7% |
| Other | 17 | 19% |
| Unknown | 18 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 24% |
| Agricultural and Biological Sciences | 19 | 21% |
| Medicine and Dentistry | 17 | 19% |
| Computer Science | 6 | 7% |
| Immunology and Microbiology | 3 | 3% |
| Other | 5 | 5% |
| Unknown | 19 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 21 June 2021.
All research outputs
#2,114,681
of 22,745,803 outputs
Outputs from PLOS ONE
#27,006
of 194,149 outputs
Outputs of similar age
#26,413
of 306,973 outputs
Outputs of similar age from PLOS ONE
#816
of 5,625 outputs
Altmetric has tracked 22,745,803 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,149 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done well, scoring higher than 86% of its peers.
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 306,973 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 5,625 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.