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X Demographics
Mendeley readers
Attention Score in Context
Title |
Characterization of Influenza Vaccine Immunogenicity Using Influenza Antigen Microarrays
|
---|---|
Published in |
PLOS ONE, May 2013
|
DOI | 10.1371/journal.pone.0064555 |
Pubmed ID | |
Authors |
Jordan V. Price, Justin A. Jarrell, David Furman, Nicole H. Kattah, Evan Newell, Cornelia L. Dekker, Mark M. Davis, Paul J. Utz |
Abstract |
Existing methods to measure influenza vaccine immunogenicity prohibit detailed analysis of epitope determinants recognized by immunoglobulins. The development of highly multiplex proteomics platforms capable of capturing a high level of antibody binding information will enable researchers and clinicians to generate rapid and meaningful readouts of influenza-specific antibody reactivity. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
Unknown | 6 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 5% |
United Kingdom | 1 | 1% |
Netherlands | 1 | 1% |
Singapore | 1 | 1% |
Unknown | 80 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 29 | 33% |
Student > Ph. D. Student | 17 | 20% |
Student > Master | 10 | 11% |
Professor | 6 | 7% |
Other | 5 | 6% |
Other | 13 | 15% |
Unknown | 7 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 16 | 18% |
Medicine and Dentistry | 13 | 15% |
Immunology and Microbiology | 13 | 15% |
Biochemistry, Genetics and Molecular Biology | 10 | 11% |
Chemistry | 4 | 5% |
Other | 17 | 20% |
Unknown | 14 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 02 October 2013.
All research outputs
#6,017,786
of 22,711,242 outputs
Outputs from PLOS ONE
#71,870
of 193,913 outputs
Outputs of similar age
#50,562
of 195,178 outputs
Outputs of similar age from PLOS ONE
#1,488
of 4,758 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 193,913 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 62% 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 195,178 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 4,758 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 68% of its contemporaries.