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X Demographics
Mendeley readers
Attention Score in Context
| Title |
T-Cell-Based Immunotherapy for Osteosarcoma: Challenges and Opportunities
|
|---|---|
| Published in |
Frontiers in immunology, September 2016
|
| DOI | 10.3389/fimmu.2016.00353 |
| Pubmed ID | |
| Authors |
Zhan Wang, Binghao Li, Yingqing Ren, Zhaoming Ye |
| Abstract |
Even though combining surgery with chemotherapy has significantly improved the prognosis of osteosarcoma patients, advanced, metastatic, or recurrent osteosarcomas are often non-responsive to chemotherapy, making development of novel efficient therapeutic methods an urgent need. Adoptive immunotherapy has the potential to be a useful non-surgical modality for treatment of osteosarcoma. Recently, alternative strategies, including immunotherapies using naturally occurring or genetically modified T cells, have been found to hold promise in the treatment of hematologic malignancies and solid tumors. In this review, we will discuss possible T-cell-based therapies against osteosarcoma with a special emphasis on combination strategies to improve the effectiveness of adoptive T cell transfer and, thus, to provide a rationale for the clinical development of immunotherapies. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 13% |
| Unknown | 7 | 88% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| France | 1 | 1% |
| Unknown | 73 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 16% |
| Student > Ph. D. Student | 11 | 15% |
| Researcher | 9 | 12% |
| Student > Bachelor | 7 | 9% |
| Student > Doctoral Student | 4 | 5% |
| Other | 12 | 16% |
| Unknown | 20 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 23% |
| Biochemistry, Genetics and Molecular Biology | 16 | 21% |
| Immunology and Microbiology | 5 | 7% |
| Agricultural and Biological Sciences | 4 | 5% |
| Engineering | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 24 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 05 October 2019.
All research outputs
#7,713,861
of 25,373,627 outputs
Outputs from Frontiers in immunology
#8,870
of 31,513 outputs
Outputs of similar age
#107,406
of 330,508 outputs
Outputs of similar age from Frontiers in immunology
#50
of 166 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 31,513 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 71% 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 330,508 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 166 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.