| Title |
Comparison of μ-ATR-FTIR spectroscopy and py-GCMS as identification tools for microplastic particles and fibers isolated from river sediments
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, June 2018
|
| DOI | 10.1007/s00216-018-1185-5 |
| Pubmed ID | |
| Authors |
Andrea Käppler, Marten Fischer, Barbara M. Scholz-Böttcher, Sonja Oberbeckmann, Matthias Labrenz, Dieter Fischer, Klaus-Jochen Eichhorn, Brigitte Voit |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 20% |
| United Kingdom | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 370 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 370 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 58 | 16% |
| Student > Master | 50 | 14% |
| Researcher | 48 | 13% |
| Student > Bachelor | 34 | 9% |
| Student > Doctoral Student | 18 | 5% |
| Other | 41 | 11% |
| Unknown | 121 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 84 | 23% |
| Chemistry | 59 | 16% |
| Agricultural and Biological Sciences | 18 | 5% |
| Engineering | 14 | 4% |
| Chemical Engineering | 9 | 2% |
| Other | 35 | 9% |
| Unknown | 151 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 24 September 2018.
All research outputs
#3,090,326
of 25,837,817 outputs
Outputs from Analytical & Bioanalytical Chemistry
#295
of 9,764 outputs
Outputs of similar age
#57,012
of 330,609 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#6
of 182 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,764 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 96% 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 330,609 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.