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Attention Score in Context
| Title |
Trace analysis of selected hormones and sterols in river sediments by liquid chromatography-atmospheric pressure chemical ionization–tandem mass spectrometry
|
|---|---|
| Published in |
Journal of Chromatography A, August 2014
|
| DOI | 10.1016/j.chroma.2014.08.061 |
| Pubmed ID | |
| Authors |
Ivana Matić, Svetlana Grujić, Zorica Jauković, Mila Laušević |
| Abstract |
In this paper, development and optimization of new LC-MS method for determination of twenty selected hormones, human/animal and plant sterols in river sediments were described. Sediment samples were prepared using ultrasonic extraction and clean up with silica gel/anhydrous sodium sulphate cartridge. Extracts were analyzed by liquid chromatography-linear ion trap-tandem mass spectrometry, with atmospheric pressure chemical ionization. The optimized extraction parameters were extraction solvent (methanol), weight of the sediment (2g) and time of ultrasonic extraction (3× 10min). Successful chromatographic separation of hormones (estriol and estrone, 17α- and 17β-estradiol) and four human/animal sterols (epicoprostanol, coprostanol, α-cholestanol and β-cholestanol) that have identical fragmentation reactions was achieved. The developed and optimized method provided high recoveries (73-118%), low limits of detection (0.8-18ngg(-1)) and quantification (2.5-60ngg(-1)) with the RSDs generally lower than 20%. Applicability of the developed method was confirmed by analysis of six river sediment samples. A widespread occurrence of human/animal and plant sterols was found. The only detected hormone was mestranol in just one sediment sample. |
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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 3% |
| Canada | 1 | 2% |
| Unknown | 62 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 17% |
| Student > Master | 11 | 17% |
| Researcher | 10 | 15% |
| Student > Doctoral Student | 7 | 11% |
| Student > Bachelor | 6 | 9% |
| Other | 8 | 12% |
| Unknown | 12 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 16 | 25% |
| Chemistry | 15 | 23% |
| Agricultural and Biological Sciences | 8 | 12% |
| Engineering | 5 | 8% |
| Earth and Planetary Sciences | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 15 | 23% |
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 October 2014.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from Journal of Chromatography A
#9,537
of 11,800 outputs
Outputs of similar age
#180,782
of 247,215 outputs
Outputs of similar age from Journal of Chromatography A
#71
of 119 outputs
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So far Altmetric has tracked 11,800 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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