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Mendeley readers
Attention Score in Context
Chapter title |
Recurrent Cytogenetic Abnormalities in Multiple Myeloma.
|
---|---|
Chapter number | 23 |
Book title |
Cancer Cytogenetics
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6703-2_23 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6701-8, 978-1-4939-6703-2
|
Authors |
Nelson Chun Ngai Chan, Natalie Pui Ha Chan |
Editors |
Thomas S.K. Wan |
Abstract |
Multiple myeloma is a heterogeneous disease. Its chromosomal abnormalities have been extensively studied with a view to accurate prognostication and personalized therapy. Here, we describe the techniques commonly employed for elucidating chromosomal aberrations, prognostic impact of recurrent chromosomal abnormalities, and recently updated risk stratification systems. |
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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 5 | 24% |
Student > Doctoral Student | 3 | 14% |
Other | 2 | 10% |
Student > Master | 2 | 10% |
Researcher | 1 | 5% |
Other | 1 | 5% |
Unknown | 7 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 5 | 24% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 14% |
Biochemistry, Genetics and Molecular Biology | 2 | 10% |
Nursing and Health Professions | 2 | 10% |
Agricultural and Biological Sciences | 1 | 5% |
Other | 0 | 0% |
Unknown | 8 | 38% |
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 13 January 2018.
All research outputs
#20,365,559
of 22,914,829 outputs
Outputs from Methods in molecular biology
#9,921
of 13,131 outputs
Outputs of similar age
#355,358
of 420,479 outputs
Outputs of similar age from Methods in molecular biology
#842
of 1,074 outputs
Altmetric has tracked 22,914,829 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 13,131 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 420,479 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 1,074 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.