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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Natural Killer Cells
|
|---|---|
| Chapter number | 25 |
| Book title |
Natural Killer Cells
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3684-7_25 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3682-3, 978-1-4939-3684-7
|
| Authors |
Singh, Thoudam Debraj, Lee, Jaetae, Jeon, Yong Hyun, Thoudam Debraj Singh, Jaetae Lee M.D., Ph.D., Yong Hyun Jeon Ph.D., Jaetae Lee, Yong Hyun Jeon |
| Editors |
Srinivas S. Somanchi |
| Abstract |
Natural killer (NK) cells are cytotoxic lymphocytes that induce apoptosis in cancer cells infected with viruses and bacteria through a caspase-3-dependent pathway. Effective NK cell-based immunotherapy requires highly sensitive imaging tools for in vivo monitoring of the dynamic events involved in apoptosis. Here, we describe a noninvasive bioluminescence imaging approach to determine the antitumor effects of NK cell-based therapy by serial imaging of caspase-3-dependent apoptosis in a mouse model of human glioma. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 1 | 11% |
| Student > Ph. D. Student | 1 | 11% |
| Student > Master | 1 | 11% |
| Researcher | 1 | 11% |
| Student > Postgraduate | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 4 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 22% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 11% |
| Neuroscience | 1 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 11% |
| Unknown | 4 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 December 2017.
All research outputs
#7,753,975
of 23,567,572 outputs
Outputs from Methods in molecular biology
#2,429
of 13,353 outputs
Outputs of similar age
#124,952
of 396,838 outputs
Outputs of similar age from Methods in molecular biology
#273
of 1,463 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,353 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 75% 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 396,838 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 55% of its contemporaries.
We're also able to compare this research output to 1,463 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.