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 |
Transplantation Immunology
|
|---|---|
| Chapter number | 14 |
| Book title |
Transplantation Immunology
|
| Published in |
Methods in molecular biology, January 2013
|
| DOI | 10.1007/978-1-62703-493-7_14 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-492-0, 978-1-62703-493-7
|
| Authors |
Bray, Robert A, Robert A. Bray |
| Editors |
Andrea A. Zachary, Mary S. Leffell |
| Abstract |
Flow cytometry is an invaluable tool for studying lymphocyte biology. In transplantation, flow cytometry represents the most sensitive method for demonstrating the binding of HLA antibodies to cellular targets. Referred to as the flow cytometric crossmatch (FCXM), the implementation of this method has revolutionized HLA antibody assessments and facilitated increased allograft survival among highly sensitized recipients. Here we describe the methods for performing the FCXM and discuss its critical aspects, as well as the presentation of data and interpretation of results. |
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 % |
|---|---|---|
| United States | 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 4 | 21% |
| Lecturer | 2 | 11% |
| Other | 2 | 11% |
| Student > Bachelor | 2 | 11% |
| Researcher | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 8 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 21% |
| Biochemistry, Genetics and Molecular Biology | 4 | 21% |
| Environmental Science | 1 | 5% |
| Immunology and Microbiology | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 8 | 42% |
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 21 October 2016.
All research outputs
#18,478,448
of 22,896,955 outputs
Outputs from Methods in molecular biology
#7,926
of 13,135 outputs
Outputs of similar age
#218,649
of 281,386 outputs
Outputs of similar age from Methods in molecular biology
#220
of 340 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,135 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 281,386 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 340 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.