Lycopene: total-scale literature landscape analysis of a valuable nutraceutical with numerous potential applications in the promotion of human and animal health

Lycopene intake from tomatoes and other food sources has multiple potential health benefits. This report aimed to evaluate the current research literature on lycopene concerning human and animal health. The electronic Web of Science Core Collection database was searched with (lycopene*) AND (health* OR illness* OR disease* OR medic* OR pharma* OR drug* OR therap*). The resulted 3972 papers were analyzed with the aid of bibliometric software. Besides the United States, the lycopene papers received global contributions, particularly from China, Italy, India, and Spain. Examples of frequently mentioned chemicals/chemical classes were carotenoid, beta carotene, alpha carotene, beta cryptoxanthin, and alpha tocopherol. Examples of frequently mentioned medical conditions were prostate cancer, cardiovascular disease, and obesity. Published scientific articles reveal the diverse potential of lycopene in prompting human and animal health, and the knowledge on the bioactivities of this phytochemical is expected to further grow in the future

The “As Low As Reasonably Achievable” (ALARA) principle: a brief historical overview and a bibliometric analysis of the most cited publications

The “As Low As Reasonably Achievable” (ALARA) principle is largely followed in the radiology field. The current article provided a historical overview on the evolution and development of the ALARA principle and its related concepts. Meanwhile, the scientific impact of papers dealing with the ALARA principle was largely unknown. The current study aimed to identify the body of literature dealing with the ALARA principle, which of them were cited the most, and which of their references were cited the most. The Web of Science database hosted by Clarivate Analytics was accessed. Relevant papers were identified and analyzed. The search identified 979 relevant publications. Six journals (Health Physics, Pediatric Radiology, Radiation Protection Dosimetry, Transactions of the American Nuclear Society, Fusion Engineering and Design, and American Journal of Roentgenology) have accounted for nearly one-fifth of these publications. The most cited publications and references mainly related to two patient groups, children and pregnant women. It is important to adhere to the ALARA principle whenever a decision is made to irradiate a patient, because the exact effect of radiation on the patient health is not yet totally understood and predictable

Natural products in drug discovery: advances and opportunities

Natural products and their structural analogues have historically made a major contribution to pharmacotherapy, especially for cancer and infectious diseases. Nevertheless, natural products also present challenges for drug discovery, such as technical barriers to screening, isolation, characterization and optimization, which contributed to a decline in their pursuit by the pharmaceutical industry from the 1990s onwards. In recent years, several technological and scientific developments — including improved analytical tools, genome mining and engineering strategies, and microbial culturing advances — are addressing such challenges and opening up new opportunities. Consequently, interest in natural products as drug leads is being revitalized, particularly for tackling antimicrobial resistance. Here, we summarize recent technological developments that are enabling natural product-based drug discovery, highlight selected applications and discuss key opportunities. © 2021, Springer Nature Limited

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press