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Mendeley readers
Attention Score in Context
Chapter title |
Testing PARP Inhibitors Using a Murine Xenograft Model
|
---|---|
Chapter number | 20 |
Book title |
Poly(ADP-Ribose) Polymerase
|
Published in |
Methods in molecular biology, July 2017
|
DOI | 10.1007/978-1-4939-6993-7_20 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6992-0, 978-1-4939-6993-7
|
Authors |
Makhov, Peter, Naito, Sei, Kolenko, Vladimir M., Peter Makhov, Sei Naito, Vladimir M. Kolenko |
Abstract |
Animal models are indispensable research tools for various drug discovery and development applications. In cancer research, the growth of tumors in vivo is necessary in order to closely modulate a potential response in humans. Ectopic (subcutaneous) xenografting of human cancer cells into immunodeficient mice has long been the standard model for preclinical evaluation of novel antitumor therapeutic agents. Here, we describe the establishment and use of subcutaneous xenograft mouse model to evaluate the antitumor activity of PARP-1 inhibitors. |
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 % |
---|---|---|
United States | 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 2 | 50% |
Unknown | 2 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 1 | 25% |
Nursing and Health Professions | 1 | 25% |
Unknown | 2 | 50% |
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 12 July 2017.
All research outputs
#17,905,157
of 22,988,380 outputs
Outputs from Methods in molecular biology
#7,270
of 13,149 outputs
Outputs of similar age
#224,223
of 312,555 outputs
Outputs of similar age from Methods in molecular biology
#134
of 253 outputs
Altmetric has tracked 22,988,380 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,149 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% 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 312,555 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 253 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.