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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The 150 most important questions in cancer research and clinical oncology series: questions 6–14
|
|---|---|
| Published in |
Ai zheng Aizheng Chinese journal of cancer, March 2017
|
| DOI | 10.1186/s40880-017-0200-0 |
| Pubmed ID | |
| Authors |
Chinese Journal of Cancer |
| Abstract |
To accelerate our endeavors to overcome cancer, Chinese Journal of Cancer has launched a program of publishing 150 most important questions in cancer research and clinical oncology. In this article, nine more questions are presented as followed. Question 6. Why do nasopharyngeal carcinomas rarely metastasize to the brain? Question 7. Can distant spread of cancer cells be blocked by inhibiting the remodeling of high endothelial venules in the sentinel lymph node? Question 8. What sort of live-imaging techniques can be developed to directly observe the dynamic processes of metastasis? Question 9. How does chronic hepatitis prevent liver metastasis from colorectal cancer? Question 10. How many types of host cells contribute to forming the pre-metastatic niche in the lung favorable for metastasis? Question 11. Why do cancers rarely metastasize to the small bowel? Question 12. Why do glioblastomas rarely metastasize outside the central nervous system? Question 13. Despite increased understanding of the molecular genetic events leading to the development and progression of high-grade gliomas, these tumors are the most therapeutically refractory among all human cancers. What then would be the most effective therapeutic approaches to treat what in essence can be regarded as a whole brain malignancy, since even a surgical resection of greater than 99% of tumor tissues is invariably associated with recurrence? Question 14. The blood-brain barrier (BBB) effectively limits a wide variety of potential therapeutic agents from reaching glioma cells widely dispersed in the brain. What therapeutic approaches can be used to breach the BBB and allow therapeutic agents to seek out and kill these tumor cells? |
X Demographics
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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 4% |
| Unknown | 24 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 20% |
| Student > Bachelor | 4 | 16% |
| Student > Doctoral Student | 2 | 8% |
| Researcher | 2 | 8% |
| Student > Postgraduate | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 7 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 40% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
| Agricultural and Biological Sciences | 2 | 8% |
| Sports and Recreations | 2 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 28% |
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 02 April 2017.
All research outputs
#21,158,537
of 25,988,468 outputs
Outputs from Ai zheng Aizheng Chinese journal of cancer
#135
of 154 outputs
Outputs of similar age
#252,599
of 326,798 outputs
Outputs of similar age from Ai zheng Aizheng Chinese journal of cancer
#1
of 1 outputs
Altmetric has tracked 25,988,468 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 154 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one is in the 20th percentile – i.e., 20% 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 326,798 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them