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Mendeley readers
Attention Score in Context
| Title |
Effects of DMSO, glycerol, betaine and their combinations in detecting single nucleotide polymorphisms of epidermal growth factor receptor (EGFR) gene promoter sequence in non-small-cell lung cancer (NSCLC) patients
|
|---|---|
| Published in |
Journal of Pharmaceutical & Biomedical Analysis, May 2016
|
| DOI | 10.1016/j.jpba.2016.05.010 |
| Pubmed ID | |
| Authors |
Vladimir Jurišić, Jasmina Obradović, Natasa Tošić, Sonja Pavlović, Milan Kulić, Nataša Djordjević |
| Abstract |
The aim of the study was to examine the effects of frequently used polymerase chain reaction (PCR) additives DMSO, glycerol and betaine on amplification of GC-rich epidermal growth factor receptor (EGFR) gene promoter region, in order to detect the presence of -216G>T and -191C>A gene variations in non-small-cell lung cancer (NSCLC) patients. PCR products and restriction fragments were detected by electrophoresis on 8% polyacrylamide gel and 3% agarose gel. Our analysis shows that single used additives including DMSO in concentration of 7% and 10%, glycerol in concentration of 10%, 15% and 20%, as well as betaine in concentration of 1M, 1.5M and 2M significantly enhanced the yield and specificity of PCR reaction. In addition, the combination of 10% DMSO with 15% glycerol has shown positive effects, whereas other analyzed combinations of additives failed to amplify the EGFR promoter region. |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 17% |
| Student > Bachelor | 7 | 15% |
| Researcher | 5 | 11% |
| Student > Doctoral Student | 4 | 9% |
| Other | 3 | 6% |
| Other | 6 | 13% |
| Unknown | 14 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 34% |
| Agricultural and Biological Sciences | 6 | 13% |
| Chemical Engineering | 2 | 4% |
| Veterinary Science and Veterinary Medicine | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 17 | 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 10 May 2016.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Journal of Pharmaceutical & Biomedical Analysis
#3,420
of 4,795 outputs
Outputs of similar age
#269,735
of 312,377 outputs
Outputs of similar age from Journal of Pharmaceutical & Biomedical Analysis
#36
of 44 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,795 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 1st percentile – i.e., 1% 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 312,377 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.