Evidence map›Paper›PMID 38975619›Full record

ArticleCardiovascular & hematological agents in medicinal chemistry2024

Green Synthesis of Silver Nanoparticles using

Priyanca Pram, Nikita Mishra, Mohanasrinivasan Vaithilingam, Merlyn Keziah Samuel, Maneesha Mohanan, Neeti Kothari, Subathra Devi Chandrasekaran

Abstract read
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In one paragraph

Article in Cardiovascular & hematological agents in medicinal chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Priyanca PramDepartment of Biotechnology, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Nikita MishraDepartment of Biotechnology, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Mohanasrinivasan VaithilingamDepartment of Biotechnology, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Merlyn Keziah SamuelDepartment of Biotechnology, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Maneesha MohananDepartment of Biotechnology, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Neeti KothariDepartment of Biotechnology, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Subathra Devi ChandrasekaranDepartment of Biotechnology, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlants have been used for ages in traditional medicine, and it is exciting to perceive how recent research has recognized the bioactive compounds liable for their beneficial effects. Green synthesis of metal nanoparticles is a hastily emergent research area in nanotechnology. This study describes the synthesis of silver nanoparticles (AgNPs) using

objectiveThe aim of the study was to determine the clot lysis activity of

methodsLeaves of

resultsThe thrombolytic property of the methanolic extract of plants

conclusionThese NPs were further used for biomedical applications after being fixed by an organic encapsulation agent. The present research reveals the usefulness of

Indexed as

CoriandrumFibrinolytic AgentsGreen Chemistry TechnologyMetal NanoparticlesMurrayaPlant ExtractsPlant LeavesSilverFibrinolytic AgentsPlant ExtractsSilverAgNPsCoriandrum sativumMurraya koenigiinanoparticles (NPs)thrombolytic activity.XRDzeta potential

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.