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Attention Score in Context
Chapter title |
Using Electrophoretic Immunoassay to Monitor Hormone Secretion.
|
---|---|
Chapter number | 5 |
Book title |
Microchip Diagnostics
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6734-6_5 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6732-2, 978-1-4939-6734-6
|
Authors |
Shusheng Lu, Robert T Kennedy, Lu, Shusheng, Kennedy, Robert T |
Editors |
Valérie Taly, Jean-Louis Viovy, Stéphanie Descroix |
Abstract |
It has been demonstrated that microfluidic systems allow integration of sampling, reagent mixing, and rapid electrophoretic analysis. They have also proven useful for culturing cells wherein control over the environment allows novel and automated experiments. Here, we describe a microchip-based electrophoresis assay that allows cell culture and hormone monitoring. An online gradient generator can control cell culture condition precisely. This system has been applied for Pancreas islets' glucose sensitivity studies. |
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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 25% |
Student > Master | 1 | 25% |
Unknown | 2 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Chemical Engineering | 1 | 25% |
Immunology and Microbiology | 1 | 25% |
Unknown | 2 | 50% |
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 23 October 2018.
All research outputs
#15,423,393
of 22,931,367 outputs
Outputs from Methods in molecular biology
#5,361
of 13,127 outputs
Outputs of similar age
#256,718
of 420,713 outputs
Outputs of similar age from Methods in molecular biology
#466
of 1,074 outputs
Altmetric has tracked 22,931,367 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,127 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 420,713 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.