| Title |
Functional electrospun nanofibers for multimodal sensitive detection of biogenic amines in food via a simple dipstick assay
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, November 2017
|
| DOI | 10.1007/s00216-017-0696-9 |
| Pubmed ID | |
| Authors |
Nadezhda S. Yurova, Alexandra Danchuk, Sarah N. Mobarez, Nongnoot Wongkaew, Tatiana Rusanova, Antje J. Baeumner, Axel Duerkop |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 20% |
| Student > Master | 8 | 11% |
| Researcher | 7 | 9% |
| Professor > Associate Professor | 5 | 7% |
| Student > Doctoral Student | 4 | 5% |
| Other | 13 | 18% |
| Unknown | 22 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 14 | 19% |
| Engineering | 6 | 8% |
| Agricultural and Biological Sciences | 5 | 7% |
| Materials Science | 4 | 5% |
| Economics, Econometrics and Finance | 2 | 3% |
| Other | 14 | 19% |
| Unknown | 29 | 39% |
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 25 January 2018.
All research outputs
#20,575,286
of 25,998,826 outputs
Outputs from Analytical & Bioanalytical Chemistry
#6,293
of 9,810 outputs
Outputs of similar age
#256,502
of 347,044 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#81
of 174 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,810 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 30th percentile – i.e., 30% 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 347,044 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 174 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.