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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Genetically engineered insertional mutagenesis in mice to model cancer: sleeping beauty.
|
|---|---|
| Chapter number | 21 |
| Book title |
Mouse Genetics
|
| Published in |
Methods in molecular biology, July 2014
|
| DOI | 10.1007/978-1-4939-1215-5_21 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-1214-8, 978-1-4939-1215-5
|
| Authors |
Howell VM, Colvin EK, Viive M. Howell, Emily K. Colvin, Howell, Viive M., Colvin, Emily K. |
| Abstract |
The ability to accurately model human cancer in mice enables in vivo examination of the biological mechanisms related to cancer initiation and progression as well as preclinical testing of new anticancer treatments and potential targets. The emergence of the genetically engineered Sleeping Beauty system of insertional mutagenesis has led to the development of a new generation of genetic mouse models of cancer and identification of novel cancer-causing genes. This chapter reviews the published cancer models of Sleeping Beauty and strategies using available strains to generate several models of cancer. |
X Demographics
The data shown below were collected from the profiles of 3 X users 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 50% |
| Student > Master | 1 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 50% |
| Unknown | 1 | 50% |
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 31 March 2015.
All research outputs
#13,922,082
of 22,768,097 outputs
Outputs from Methods in molecular biology
#3,918
of 13,090 outputs
Outputs of similar age
#114,445
of 228,357 outputs
Outputs of similar age from Methods in molecular biology
#14
of 69 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,090 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 68% 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 228,357 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.