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Mendeley readers
Attention Score in Context
| Title |
Prognostic impact of CD57, CD68, M-CSF, CSF-1R, Ki67 and TGF-beta in soft tissue sarcomas
|
|---|---|
| Published in |
BMC Clinical Pathology, May 2012
|
| DOI | 10.1186/1472-6890-12-7 |
| Pubmed ID | |
| Authors |
Sveinung W Sorbye, Thomas K Kilvaer, Andrej Valkov, Tom Donnem, Eivind Smeland, Khalid Al-Shibli, Roy M Bremnes, Lill-Tove Busund |
| Abstract |
Prognostic markers in curable STS may have the potential to guide therapy after surgical resection. The purpose of this study was to clarify the prognostic impact of the presence of cells and growth factors belonging to the innate immune system in soft tissue sarcomas (STS). The significance of macrophages (CD68), their growth factor macrophage colony-stimulating factor (M-CSF), its receptor colony-stimulating factor-1 receptor (CSF-1R), natural killer cells (CD57) and the general immunomodulating molecule (TGF-beta) are all controversial in STS. Herein, these markers are evaluated and compared to the cell proliferation marker Ki67. |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Norway | 1 | 3% |
| Unknown | 33 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 6 | 17% |
| Student > Master | 4 | 11% |
| Other | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Professor | 3 | 9% |
| Other | 7 | 20% |
| Unknown | 9 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 37% |
| Biochemistry, Genetics and Molecular Biology | 6 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Immunology and Microbiology | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 9 | 26% |
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 21 November 2012.
All research outputs
#20,172,971
of 22,685,926 outputs
Outputs from BMC Clinical Pathology
#94
of 116 outputs
Outputs of similar age
#148,308
of 163,519 outputs
Outputs of similar age from BMC Clinical Pathology
#2
of 2 outputs
Altmetric has tracked 22,685,926 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 116 research outputs from this source. They receive a mean Attention Score of 3.9. 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 163,519 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 2 others from the same source and published within six weeks on either side of this one.