↓ Skip to main content

Ultraspecific probes for high throughput HLA typing

Overview of attention for article published in BMC Genomics, February 2009
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
20 Mendeley
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.
Title
Ultraspecific probes for high throughput HLA typing
Published in
BMC Genomics, February 2009
DOI 10.1186/1471-2164-10-85
Pubmed ID
Authors

Chen Feng, Catherine Putonti, Meizhuo Zhang, Rick Eggers, Rahul Mitra, Mike Hogan, Krishna Jayaraman, Yuriy Fofanov

Abstract

The variations within an individual's HLA (Human Leukocyte Antigen) genes have been linked to many immunological events, e.g. susceptibility to disease, response to vaccines, and the success of blood, tissue, and organ transplants. Although the microarray format has the potential to achieve high-resolution typing, this has yet to be attained due to inefficiencies of current probe design strategies.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
France 1 5%
Switzerland 1 5%
Unknown 17 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 25%
Student > Bachelor 4 20%
Researcher 3 15%
Other 2 10%
Professor 1 5%
Other 1 5%
Unknown 4 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 55%
Medicine and Dentistry 3 15%
Computer Science 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Unknown 4 20%
Attention Score in Context

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 12 August 2014.
All research outputs
#18,376,056
of 22,760,687 outputs
Outputs from BMC Genomics
#8,167
of 10,637 outputs
Outputs of similar age
#86,674
of 94,127 outputs
Outputs of similar age from BMC Genomics
#31
of 32 outputs
Altmetric has tracked 22,760,687 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 10,637 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 94,127 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 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.