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.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
UPLC-ESI-MS/MS and HPTLC Method for Quantitative Estimation of Cytotoxic Glycosides and Aglycone in Bioactivity Guided Fractions of Solanum nigrum L.
|
|---|---|
| Published in |
Frontiers in Pharmacology, July 2017
|
| DOI | 10.3389/fphar.2017.00434 |
| Pubmed ID | |
| Authors |
Karishma Chester, Sarvesh Paliwal, Washim Khan, Sayeed Ahmad |
| Abstract |
Solanum nigrum L., is traditionally used for the management of the various liver disorders. Investigating the effect of polarity based fractionation of S. nigrum for its hepatoprotective effect on Hep G2 cells in vitro to provide base of its activity by quantifying in steroidal glycosides responsible for hepatoprotective potential. A new UPLC-ESI-MS/MS method following a high performance thin layer chromatography (HPTLC) has been developed and validated for quantification of steroidal glycosides and aglycone (solasonine, solamargine, and solasodine, respectively). The in vitro antioxidant potential, total phenolics, and flavonoid content were also determined in different fractions. The newly developed UPLC-ESI-MS/MS and HPTLC methods were linear (r(2) ≥ 0.99), precise, accurate, and showing recovery more than 97%. The n-butanol enriched fraction of S. nigrum berries was found to be the most potent hepatoprotective fraction against all other fractions as it showed significantly (p < 0.01) better in vitro anti-oxidant potential than other fractions. Quantification by both methods revealed that, content of steroidal glycosides and aglycones are more than 20% in n-butanol fraction as compared to other fractions. The screened steroidal glycoside n-butanol enriched fraction underwent bioefficacy studies against D-galactosamine and H2O2 induced toxicity in HepG2 cell line showing significant (p < 0.05) liver protection. However, developed method can be used for the quality control analysis with respect to targeted metabolites and it can be explored for the pharmacokinetic and pharmacodynamic analysis in future. |
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 % |
|---|---|---|
| Germany | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 15% |
| Student > Doctoral Student | 5 | 11% |
| Student > Bachelor | 3 | 7% |
| Student > Postgraduate | 3 | 7% |
| Student > Ph. D. Student | 3 | 7% |
| Other | 6 | 13% |
| Unknown | 19 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 15% |
| Agricultural and Biological Sciences | 4 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Chemistry | 2 | 4% |
| Chemical Engineering | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 26 | 57% |
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 24 July 2017.
All research outputs
#18,559,907
of 22,986,950 outputs
Outputs from Frontiers in Pharmacology
#8,332
of 16,272 outputs
Outputs of similar age
#239,953
of 313,520 outputs
Outputs of similar age from Frontiers in Pharmacology
#132
of 249 outputs
Altmetric has tracked 22,986,950 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 16,272 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 37th percentile – i.e., 37% 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 313,520 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 249 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.