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X Demographics
Mendeley readers
Attention Score in Context
Title |
Rapid, scalable and highly automated HLA genotyping using next-generation sequencing: a transition from research to diagnostics
|
---|---|
Published in |
BMC Genomics, April 2013
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DOI | 10.1186/1471-2164-14-221 |
Pubmed ID | |
Authors |
Martin Danzer, Norbert Niklas, Stephanie Stabentheiner, Katja Hofer, Johannes Pröll, Christina Stückler, Edeltraud Raml, Helene Polin, Christian Gabriel |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 1 | 25% |
Germany | 1 | 25% |
Australia | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 50% |
Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
Sweden | 1 | 1% |
Switzerland | 1 | 1% |
Unknown | 78 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 23 | 28% |
Student > Ph. D. Student | 14 | 17% |
Other | 12 | 15% |
Student > Master | 10 | 12% |
Professor > Associate Professor | 5 | 6% |
Other | 11 | 13% |
Unknown | 7 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 28 | 34% |
Biochemistry, Genetics and Molecular Biology | 14 | 17% |
Medicine and Dentistry | 11 | 13% |
Immunology and Microbiology | 8 | 10% |
Engineering | 5 | 6% |
Other | 5 | 6% |
Unknown | 11 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 January 2019.
All research outputs
#6,572,345
of 25,837,817 outputs
Outputs from BMC Genomics
#2,517
of 11,320 outputs
Outputs of similar age
#53,138
of 214,767 outputs
Outputs of similar age from BMC Genomics
#47
of 175 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 11,320 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 77% of its peers.
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 214,767 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 175 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 73% of its contemporaries.