You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Biological Analysis of Human CML Stem Cells; Xenograft Model of Chronic Phase Human Chronic Myeloid Leukemia
|
---|---|
Chapter number | 15 |
Book title |
Chronic Myeloid Leukemia
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-4011-0_15 |
Pubmed ID | |
Book ISBNs |
978-1-4939-4009-7, 978-1-4939-4011-0
|
Authors |
Abraham, Sheela A., Sheela A. Abraham |
Abstract |
Xenograft mouse models have been instrumental in expanding our knowledge of hematopoiesis and can provide a functional description of stem cells that possess engrafting potential. Here we describe methodology outlining one way of analyzing human malignant cells that are able to engraft immune compromised mice. Using models such as these will allow researchers to gain valuable insight into the primitive leukemic subtypes that evade current therapy regimes and are critical to understand, in order to eradicate malignancy. |
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 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 | 1 | 25% |
Student > Doctoral Student | 1 | 25% |
Student > Master | 1 | 25% |
Unknown | 1 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 1 | 25% |
Nursing and Health Professions | 1 | 25% |
Engineering | 1 | 25% |
Unknown | 1 | 25% |
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
#15,381,871
of 22,884,315 outputs
Outputs from Methods in molecular biology
#5,350
of 13,131 outputs
Outputs of similar age
#230,986
of 393,711 outputs
Outputs of similar age from Methods in molecular biology
#545
of 1,471 outputs
Altmetric has tracked 22,884,315 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,131 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 393,711 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.