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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
An Overview of HLA Typing for Hematopoietic Stem Cell Transplantation
|
|---|---|
| Chapter number | 5 |
| Book title |
Bone Marrow and Stem Cell Transplantation
|
| Published in |
Methods in molecular biology, December 2013
|
| DOI | 10.1007/978-1-4614-9437-9_5 |
| Pubmed ID | |
| Book ISBNs |
978-1-4614-9436-2, 978-1-4614-9437-9
|
| Authors |
Katy Latham, Ann-Margaret Little, J. Alejandro Madrigal |
| Editors |
Meral Beksaç |
| Abstract |
The selection of a related or an unrelated hematopoietic stem cell donor for a patient requires accurate matching of human leukocyte antigen (HLA) genes in order to maximize the beneficial effects of the transplant. There are various different factors a laboratory must consider in order to achieve an HLA type including the number of samples being processed, level of resolution to be achieved, cost of providing the various tests, and turnaround time required. Each method has its advantages and disadvantages, and in most laboratories, a combination of methods may be used. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 37 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 11 | 28% |
| Other | 7 | 18% |
| Researcher | 7 | 18% |
| Student > Ph. D. Student | 6 | 15% |
| Student > Master | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 26% |
| Agricultural and Biological Sciences | 7 | 18% |
| Biochemistry, Genetics and Molecular Biology | 6 | 15% |
| Engineering | 3 | 8% |
| Nursing and Health Professions | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 5 | 13% |
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 03 February 2014.
All research outputs
#15,293,290
of 22,743,667 outputs
Outputs from Methods in molecular biology
#5,313
of 13,089 outputs
Outputs of similar age
#191,021
of 306,085 outputs
Outputs of similar age from Methods in molecular biology
#199
of 593 outputs
Altmetric has tracked 22,743,667 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 13,089 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% 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 306,085 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 593 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 56% of its contemporaries.