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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
The Tumor Microenvironment
|
|---|---|
| Chapter number | 17 |
| Book title |
The Tumor Microenvironment
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3801-8_17 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3799-8, 978-1-4939-3801-8
|
| Authors |
Chokshi, Chirayu, Dhillon, Manvir, McFarlane, Nicole, Venugopal, Chitra, Singh, Sheila K, Chirayu Chokshi, Manvir Dhillon, Nicole McFarlane, Chitra Venugopal, Sheila K. Singh |
| Editors |
Josie Ursini-Siegel, Nicole Beauchemin |
| Abstract |
Patient-derived xenograft (PDX) models provide an excellent platform to understand cancer initiation and development in vivo. In the context of brain tumor initiating cells (BTICs), PDX models allow for characterization of tumor formation, growth, and recurrence, in a clinically relevant in vivo system. Here, we detail procedures to harvest, culture, characterize, and orthotopically inject human BTICs derived from patient samples. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 38% |
| Student > Ph. D. Student | 2 | 25% |
| Student > Postgraduate | 1 | 13% |
| Student > Master | 1 | 13% |
| Unknown | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 2 | 25% |
| Medicine and Dentistry | 2 | 25% |
| Biochemistry, Genetics and Molecular Biology | 1 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 13% |
| Agricultural and Biological Sciences | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 1 | 13% |
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 September 2016.
All research outputs
#14,720,444
of 23,577,654 outputs
Outputs from Methods in molecular biology
#4,374
of 13,410 outputs
Outputs of similar age
#210,046
of 397,072 outputs
Outputs of similar age from Methods in molecular biology
#427
of 1,472 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,410 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 63% 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 397,072 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,472 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 67% of its contemporaries.