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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Microarray-Based Immunoassay for Parallel Quantification of Multiple Mycotoxins in Oat
|
|---|---|
| Chapter number | 11 |
| Book title |
Oat
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6682-0_11 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6680-6, 978-1-4939-6682-0
|
| Authors |
Susanna Oswald, Richard Dietrich, Erwin Märtlbauer, Reinhard Niessner, Dietmar Knopp |
| Editors |
Sebastian Gasparis |
| Abstract |
Because multianalyte methods are highly desirable in order to keep analysis time and costs low, the biosensor development increasingly focuses on parallel analysis of several mycotoxins. Here, we describe an indirect competitive immunoassay on regenerable, reusable glass microchips for the parallel determination of aflatoxins, ochratoxin A, deoxynivalenol, and fumonisin B1 in oat extracts, using a fully automated flow-through device with chemiluminescence readout. |
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 % |
|---|---|---|
| United States | 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 18% |
| Unspecified | 1 | 9% |
| Lecturer > Senior Lecturer | 1 | 9% |
| Professor | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Other | 2 | 18% |
| Unknown | 3 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 9% |
| Environmental Science | 1 | 9% |
| Neuroscience | 1 | 9% |
| Chemistry | 1 | 9% |
| Engineering | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 6 | 55% |
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 09 February 2017.
All research outputs
#18,530,362
of 22,952,268 outputs
Outputs from Methods in molecular biology
#7,935
of 13,137 outputs
Outputs of similar age
#311,015
of 420,594 outputs
Outputs of similar age from Methods in molecular biology
#733
of 1,155 outputs
Altmetric has tracked 22,952,268 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 13,137 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 420,594 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,155 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.