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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Mouse Models for Drug Discovery
|
|---|---|
| Chapter number | 5 |
| Book title |
Mouse Models for Drug Discovery
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3661-8_5 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3659-5, 978-1-4939-3661-8
|
| Authors |
von Schaewen, Markus, Hrebikova, Gabriela, Ploss, Alexander, Markus von Schaewen, Gabriela Hrebikova, Alexander Ploss |
| Editors |
Gabriele Proetzel, Michael V. Wiles |
| Abstract |
Human liver chimeric mice have become valuable tools for the study of human hepatotropic pathogens and for the investigation of metabolism and pharmacokinetics of novel drugs. The evolution of the underlying mouse models has been rapid in the past years. The diverse fields of applications of those model systems and their technical challenges will be discussed in this chapter. |
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 % |
|---|---|---|
| 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 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 % |
|---|---|---|
| Researcher | 4 | 44% |
| Student > Ph. D. Student | 2 | 22% |
| Student > Bachelor | 1 | 11% |
| Unknown | 2 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 33% |
| Medicine and Dentistry | 2 | 22% |
| Neuroscience | 1 | 11% |
| Agricultural and Biological Sciences | 1 | 11% |
| Unknown | 2 | 22% |
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 07 May 2016.
All research outputs
#20,325,615
of 22,869,263 outputs
Outputs from Methods in molecular biology
#9,917
of 13,128 outputs
Outputs of similar age
#330,690
of 393,652 outputs
Outputs of similar age from Methods in molecular biology
#1,053
of 1,470 outputs
Altmetric has tracked 22,869,263 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 is in the 1st percentile – i.e., 1% 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 393,652 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.