A new approach to biochemistry: Bibliometric and altmetric analyses in the ketogenic diet

Recently, as doctors and researchers investigate into to the possible benefits of daily diets, ketogenic diets (KD) have started to gain popularity. As the growing up popularity of KD in social media, researchers had the chance to show their academic studies to the public more easily. Therefore, in this study, KD is discussed in terms of the recently popular "altmetric analysis" by scientists. The aim of study is to highlight the role of the ketogenic diet, figure out the mechanism of ketone bodies and the pivotal role of altmetric studies in health sciences. In order to investigate the novel aspects of the top 100 (T100) most cited scientific research paper in academia, 100 most discussed research paper was selected on social media platforms about KD from 1992 to 2019 and it was compared in terms of bibliometrics in web of science and in terms of social media impact in altmetric.com. While the total citations of the top 100 articles ranged from 143–109, altmetric values of T100 are 0–1269. According to the top social media platforms where the articles are mentioned, Twitter, Facebook, and Patent are the most popular social media platforms, respectively. It was not always coherent how altmetric data related to traditional bibliometric analysis. Thus, it might be suggested that bibliometric and altmetric assessments be viewed as complementary to one another. And by far the most important result of this study is that the articles with the highest citation may not receive much attention on social media due to their subject content. [Med-Science 2023; 12(4.000): 1145-53

A social attention with altmetric score analysis on the relationship between oxidative stress and cancer

Oxidative stress has a crucial role in the development of various cancers. The aim of our study was to identify and analyze research articles about oxidative stress and cancer that have attracted the highest online attention. Our study is the first one evaluating social media attention to the articles on cancer and oxidative stress published in academic literature. Altmetric Explorer was used to identify research articles about oxidative stress and cancer. We evaluated the top 50 research articles having the highest Altmetric attention scores (AAS), using the Altmetric.com database. The Altmetric Attention Score (AAS) of 50 articles (T50) investigated was between 15 and 445 (mean±SD; 60.66±86.18). The social media platforms where the T50 articles are mentioned from highest to the lowest scores are the Facebook (n=2678) followed by Twitter (n=886) and Google + users (n=214). According to demographic breakdowns in Twitter, tweet counts were similar between scientists (34%) and not scientists (32%). Total citations of the 50 articles ranged from 3 to 3700 (mean ± SE; 203.40±87.07). A weak statistically significant positive correlation was found between the Altmetric score and the Q category (r=0.338: p=0.016). Interestingly, there was no correlation between Altmetric score and number of article citations. The increasing use of online social media platforms makes this area worthy, and the online impact of an article is becoming progressively more convenient for academic and public accessibility. Social media also may give oppurtunity to the researchers for disseminating their studies in scholar and non-scholar platforms. [Med-Science 2022; 11(2.000): 699-707

A multi-layered graphene based gas sensor platform for discrimination of volatile organic compounds via differential intercalation

Selective and sensitive detection of volatile organic compounds (VOCs) is of critical importance for environmental monitoring, disease diagnosis and industrial applications. Among VOCs, assay development for primary alcohols has captured significant research attention since their toxicity causes adverse effects on gastrointestinal and central nerve systems, resulting in irreversible blindness, and coma, and can be even fatal at high exposure levels. However, selective detection of primary alcohols is extremely challenging owing to the similarity in their molecular structure and characteristic groups. Herein, we have attempted to investigate the differential methanol (MeOH)-ethanol (EtOH) discriminative properties of single-layer, bi-layer, and multi-layer graphene morphologies. Chemiresistors fabricated using the three morphologies of graphene illustrate discriminative MeOH-EtOH responses, which is attributed to the phenomenon of differential intercalation of MeOH within layered graphene morphologies as compared to that of EtOH. This hypothesis is verified by density functional theory calculations, which revealed that the adsorption of EtOH molecules on the graphene surface is more energetically favorable as compared to that of MeOH molecules, thereby inhibiting their intercalation within the layered graphene morphologies. It is further evaluated that the degree of MeOH intercalation increases with increasing layers of graphene for obtaining differential MeOH-EtOH responses. Experimental results suggest possibilities to develop selective and sensitive MeOH assays fabricated using various graphene morphologies in a combinatorial sensor array format.This research was supported by a grant from the Scientific and Technological Research Council of Turkey, TUBİTAK (Grant No: 117F243). We are thankful for financial support from the Izmir Institute of Technology Scientific Project Fund (IYTE -BAP-291). The author D. O. I is a YÖK 100-2000 scholarship holder. H. S. thanks TUBITAK for partially supporting the theoretical calculations and experimental characterization of this study within the framework of project Grant No: 120F318