You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
Metabolomics study of Populus type propolis
|
|---|---|
| Published in |
Journal of Pharmaceutical & Biomedical Analysis, December 2016
|
| DOI | 10.1016/j.jpba.2016.12.003 |
| Pubmed ID | |
| Authors |
Boban Anđelković, Ljubodrag Vujisić, Ivan Vučković, Vele Tešević, Vlatka Vajs, Dejan Gođevac |
| Abstract |
Herein, we propose rapid and simple spectroscopic methods to determine the chemical composition of propolis derived from various Populus species using a metabolomics approach. In order to correlate variability in Populus type propolis composition with the altitude of its collection, NMR, IR, and UV spectroscopy followed by OPLS was conducted. The botanical origin of propolis was established by comparing propolis spectral data to those of buds of various Populus species. An O2PLS method was utilized to integrate two blocks of data. According to OPLS and O2PLS, the major compounds in propolis samples, collected from temperate continental climate above 500m, were phenolic glycerides originating from P. tremula buds. Flavonoids were predominant in propolis samples collected below 400m, originating from P. nigra and P. x euramericana buds. Samples collected at 400-500m were of mixed origin, with variable amounts of all detected metabolites. |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 16% |
| Student > Bachelor | 9 | 13% |
| Researcher | 7 | 10% |
| Student > Master | 6 | 9% |
| Student > Doctoral Student | 5 | 7% |
| Other | 13 | 19% |
| Unknown | 16 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 18% |
| Chemistry | 11 | 16% |
| Biochemistry, Genetics and Molecular Biology | 7 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 7% |
| Engineering | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 24 | 36% |
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 01 August 2017.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from Journal of Pharmaceutical & Biomedical Analysis
#2,876
of 4,799 outputs
Outputs of similar age
#319,047
of 421,329 outputs
Outputs of similar age from Journal of Pharmaceutical & Biomedical Analysis
#26
of 43 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,799 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 28th percentile – i.e., 28% 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 421,329 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.