You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Case with triple-negative breast cancer shows overexpression of both cFOS and TGF-1 in node-positive tissue
|
|---|---|
| Published in |
Personalized Medicine, October 2016
|
| DOI | 10.2217/pme-2016-0032 |
| Pubmed ID | |
| Authors |
Vesna Ivanovi, Nasta Dedovi-Tani, Zorka Milovanovi, Silvana Luki, Srdjan Nikoli, Vladimir Balti, Bratislav Stojiljkovi, Miroslav Demajo, Vesna Mandui, Bogomir Dimitrijevi |
| Abstract |
We present herein a case report style article on a rare advanced triple-negative breast cancer (TNBC) patient with 6-month disease-free interval, and 10-month overall survival. Our results demonstrate that the poor clinical outcome of this patient was associated with pronounced, more than fivefold higher, overexpression of both cFOS and TGF-β1 proteins in its metastatic nodal tissue extracts, when compared with the values of the two non-TNBC controls (with 'zero' disease-free interval and overall survival). This original observation suggests, for the first time, that both the cFOS and TGF-β1 may be considered as a pair of biomarkers for an early assessment of poor prognosis for TNBC patients. The possible clinical implication of this observation is discussed. |
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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 25% |
| Lecturer | 1 | 25% |
| Other | 1 | 25% |
| Unknown | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 25% |
| Nursing and Health Professions | 1 | 25% |
| Medicine and Dentistry | 1 | 25% |
| Unknown | 1 | 25% |
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 19 October 2016.
All research outputs
#20,672,357
of 25,393,528 outputs
Outputs from Personalized Medicine
#421
of 557 outputs
Outputs of similar age
#249,862
of 324,059 outputs
Outputs of similar age from Personalized Medicine
#12
of 12 outputs
Altmetric has tracked 25,393,528 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 557 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 7th percentile – i.e., 7% 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 324,059 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.