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X Demographics
Mendeley readers
Attention Score in Context
| Title |
miRNome of inflammatory breast cancer
|
|---|---|
| Published in |
BMC Research Notes, December 2014
|
| DOI | 10.1186/1756-0500-7-871 |
| Pubmed ID | |
| Authors |
Diana V Maltseva, Vladimir V Galatenko, Timur R Samatov, Svetlana O Zhikrivetskaya, Nadezhda A Khaustova, Ilya N Nechaev, Maxim U Shkurnikov, Alexey E Lebedev, Irina A Mityakina, Andrey D Kaprin, Udo Schumacher, Alexander G Tonevitsky |
| Abstract |
Inflammatory breast cancer (IBC) is an extremely malignant form of breast cancer which can be easily misdiagnosed. Conclusive prognostic IBC molecular biomarkers which are also providing the perspectives for targeted therapy are lacking so far. The aim of this study was to reveal the IBC-specific miRNA expression profile and to evaluate its association with clinicopathological parameters. |
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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Russia | 2 | 4% |
| Spain | 1 | 2% |
| Unknown | 42 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 27% |
| Student > Ph. D. Student | 10 | 22% |
| Student > Master | 7 | 16% |
| Student > Postgraduate | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Other | 4 | 9% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 38% |
| Agricultural and Biological Sciences | 9 | 20% |
| Medicine and Dentistry | 8 | 18% |
| Computer Science | 1 | 2% |
| Physics and Astronomy | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 8 | 18% |
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 06 December 2014.
All research outputs
#20,245,139
of 22,772,779 outputs
Outputs from BMC Research Notes
#3,560
of 4,263 outputs
Outputs of similar age
#302,151
of 360,775 outputs
Outputs of similar age from BMC Research Notes
#77
of 94 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,263 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 1st percentile – i.e., 1% 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 360,775 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 94 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.