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Attention Score in Context
Chapter title |
Assessment of Granulocyte Subset Activation: New Information from Image-Based Flow Cytometry
|
---|---|
Chapter number | 12 |
Book title |
Imaging Flow Cytometry
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3302-0_12 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3300-6, 978-1-4939-3302-0
|
Authors |
Brian K. McFarlin, Adam S. Venable, Andrea L. Henning, Randall R. Williams, Eric A. Prado |
Abstract |
Analysis of granulocyte function can provide important information about the state of the body's innate immune system. Existing flow cytometry methods that lack image-based analysis capabilities fail to fully evaluate granulocyte function. In the present method, we combine simultaneous detection of phagocytosis and oxidative burst in granulocytes to identify unique subsets of activated granulocytes. This analysis method provides novel information about granulocytes that allows our lab and others to evaluate the effectiveness of nutritional and lifestyle countermeasures, designed to improve immunity. |
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 % |
---|---|---|
Unknown | 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 1 | 20% |
Professor > Associate Professor | 1 | 20% |
Student > Bachelor | 1 | 20% |
Unknown | 2 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 1 | 20% |
Sports and Recreations | 1 | 20% |
Medicine and Dentistry | 1 | 20% |
Unknown | 2 | 40% |
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 28 September 2017.
All research outputs
#20,448,386
of 23,003,906 outputs
Outputs from Methods in molecular biology
#9,939
of 13,158 outputs
Outputs of similar age
#331,746
of 394,613 outputs
Outputs of similar age from Methods in molecular biology
#1,054
of 1,471 outputs
Altmetric has tracked 23,003,906 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,158 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% 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 394,613 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,471 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.