| Title |
Advancing Immune and Cell-Based Therapies Through Imaging
|
|---|---|
| Published in |
Molecular Imaging and Biology, March 2017
|
| DOI | 10.1007/s11307-017-1069-7 |
| Pubmed ID | |
| Authors |
Vladimir Ponomarev |
| Abstract |
Immunotherapies include various approaches, ranging from stimulating effector mechanisms to counteracting inhibitory and suppressive mechanisms, and creating a forum for discussing the most effective means of advancing these therapies through imaging is the focus of the newly formed Imaging in Cellular and Immune Therapies (ICIT) interest group within the World Molecular Imaging Society. Efforts are being made in the identification and validation of predictive biomarkers for a number of immunotherapies. Without predictive biomarkers, a considerable number of patients may receive treatments that have no chance of offering a benefit. This will reflect poorly on the field of immunotherapy and will yield false hopes in patients while at the same time contributing to significant cost to the healthcare system. This review summarizes the main strategies in cancer immune and cell-based therapies and discusses recent advances in imaging strategies aimed to improve cancer immunotherapy outcomes. |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Singapore | 1 | 2% |
| Unknown | 42 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 19% |
| Researcher | 7 | 16% |
| Student > Master | 6 | 14% |
| Professor > Associate Professor | 5 | 12% |
| Student > Postgraduate | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 19% |
| Medicine and Dentistry | 4 | 9% |
| Engineering | 3 | 7% |
| Chemistry | 3 | 7% |
| Agricultural and Biological Sciences | 3 | 7% |
| Other | 8 | 19% |
| Unknown | 14 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 395. 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 11 April 2017.
All research outputs
#76,472
of 25,382,440 outputs
Outputs from Molecular Imaging and Biology
#5
of 837 outputs
Outputs of similar age
#1,930
of 321,098 outputs
Outputs of similar age from Molecular Imaging and Biology
#5
of 20 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 837 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 99% 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 321,098 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 99% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.