Mouse Models for Drug Discovery
Springer New York
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Mendeley readers
Attention Score in Context
| Chapter title |
Mouse Models for Drug Discovery
|
|---|---|
| Chapter number | 4 |
| Book title |
Mouse Models for Drug Discovery
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3661-8_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3659-5, 978-1-4939-3661-8
|
| Authors |
Hasgur, Suheyla, Aryee, Ken Edwin, Shultz, Leonard D, Greiner, Dale L, Brehm, Michael A, Suheyla Hasgur, Ken Edwin Aryee, Leonard D. Shultz, Dale L. Greiner, Michael A. Brehm Ph.D., Michael A. Brehm |
| Editors |
Gabriele Proetzel, Michael V. Wiles |
| Abstract |
Immunodeficient mice are being used as recipients of human hematopoietic stem cells (HSC) for in vivo analyses of human immune system development and function. The development of several stocks of immunodeficient Prkdc (scid) (scid), or recombination activating 1 or 2 gene (Rag1 or Rag2) knockout mice bearing a targeted mutation in the gene encoding the IL2 receptor gamma chain (IL2rγ), has greatly facilitated the engraftment of human HSC and enhanced the development of functional human immune systems. These "humanized" mice are being used to study human hematopoiesis, human-specific immune therapies, human-specific pathogens, and human immune system homeostasis and function. The establishment of these model systems is technically challenging, and levels of human immune system development reported in the literature are variable between laboratories. The use of standard protocols for optimal engraftment of HSC and for monitoring the development of the human immune systems would enable more direct comparisons between humanized mice generated in different laboratories. Here we describe a standard protocol for the engraftment of human HSC into 21-day-old NOD-scid IL2rγ (NSG) mice using an intravenous injection approach. The multiparameter flow cytometry used to monitor human immune system development and the kinetics of development are described. |
X Demographics
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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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 20% |
| Student > Ph. D. Student | 8 | 16% |
| Student > Master | 8 | 16% |
| Student > Bachelor | 5 | 10% |
| Student > Postgraduate | 5 | 10% |
| Other | 8 | 16% |
| Unknown | 6 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 34% |
| Agricultural and Biological Sciences | 8 | 16% |
| Immunology and Microbiology | 7 | 14% |
| Medicine and Dentistry | 3 | 6% |
| Nursing and Health Professions | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 8 | 16% |
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 19 December 2017.
All research outputs
#13,468,145
of 22,869,263 outputs
Outputs from Methods in molecular biology
#3,624
of 13,128 outputs
Outputs of similar age
#189,664
of 393,652 outputs
Outputs of similar age from Methods in molecular biology
#349
of 1,470 outputs
Altmetric has tracked 22,869,263 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,128 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 70% 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 393,652 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 50% of its contemporaries.
We're also able to compare this research output to 1,470 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 74% of its contemporaries.