Publication and Impact of Preprints Included in the First 100 Editions of the CDC COVID-19 Science Update (Preprint)

BACKGROUND Preprints are publicly available manuscripts posted to various servers that have not been peer-reviewed. Although preprints have existed since 1961, they have gained increased popularity and credibility during the COVID-19 pandemic due to the need for immediate, relevant information. OBJECTIVE The inclusion of preprints in the CDC COVID-19 Science Update, a weekly publication that provides brief summaries of new COVID-19-related studies, is an opportunity to evaluate the publication rate and impact (Altmetric Attention Score and citation count) of selected preprints and assess the performance of the Science Update to select impactful preprints. METHODS All preprints in the first 100 editions (April 1, 2020 – July 30, 2021) of the Science Update were included in the study. Preprints that were not published were categorized as “unpublished preprints”. Preprints that were subsequently published exist in two versions (in a peer-reviewed journal and on the original preprint server) which were analyzed separately and referred to as “peer-reviewed preprint” and “original preprint”, respectively. Time-to-publish was the time interval between the date on which a preprint was first posted to the date on which it was first available as a peer-reviewed article. Impact was quantified by Altmetric Attention Score and citation count for all available manuscripts on August 6, 2021. Preprints were analyzed by publication status, rate, and time to publication. RESULTS Among 275 preprints included in the CDC COVID-19 Science Update during the study period, most came from three servers: medRxiv (n=201), bioRxiv (n=41), and SSRN (n=25), with eight coming from other sources. More than half (55.3%) were eventually published. The median time-to-publish was 2.31 months (IQR 1.38-3.73). When preprints posted in the last 2.31 months were excluded (to account for the time-to-publish), the publication rate was to 67.8%. Seventy-six journals published at least one preprint from the CDC COVID-19 Science Update and 18 journals published at least three. The median Altmetric Attention Score for unpublished preprints (n=123) was 146 (IQR 22-552) and median citation count of 2 (IQR 0-8); for original preprints (n=152) these values were 212 (IQR 22-1164) and 14 (IQR 2-40), respectively. For peer-review preprints, these values were 265 (IQR 29-1896) 19 (IQR 3-101), respectively. CONCLUSIONS Prior studies of COVID-19 preprints found publication rates between 5.4% and 21.1%. Preprints included in the CDC COVID-19 Science Update were published at a higher rate than overall COVID-19 preprints, and those that were ultimately published were published within months and received higher attention scores than unpublished preprints. These findings indicate that the Science Update process for selecting preprints appears have done so with high fidelity in terms of their likelihood to be published and impactful. Incorporation of high-quality preprints into the CDC COVID-19 Science Update improves this activity’s capacity to inform meaningful public health decision making.

IMPACT OF BUYER’S LENIENT POLICY OF RETURN AND TRUST ON INTERNET PURCHASE DECISION IN SUPPLY CHAIN SECTOR OF PAKISTAN

This article aims to investigate the factors that impact the internet purchase decision in supply chain sector of Pakistan because our mode of purchasing has been changed dramatically as a result of the Internet. An increasing number of individuals prefer online mode of shopping rather than in physical stores. Despite of these benefits there possess some cons of online purchasing like complicated returns, difficult websites, no sales assistance and lack of trust. In this article, impact of two independent variable i.e., lenient policy of return of buyer and trust of buyer was analyzed against the dependent variable internet decision of purchase. A questionnaire of 21 questions was prepared. Data of 100 respondents was collected from buyers of Karachi. Reliability Analysis, ANOVA and regression analysis are performed using SPSS tool to find the results. Study concluded that lenient policy of return of buyer and trust of buyer has positive association with internet decision of purchase in Pakistan which means when buyers are provided with lenient policies for the return of goods for any reason and their trust in seller increases it will impact the decision of purchase positively. Thus, it will be beneficial in terms of chasing market competition and generating higher returns.

Predictions of Citations of a Scholarly Paper

Bibliometrics is a statistical analysis of written publications such as books or articles. A bibliographic citationis a reference to a book, article, web page, or other published item. Thus citations are useful for identifying the progress ofthe particular work and measuring the quality of the research article. The cited papers are downloaded using the crawler. Fromthe downloaded article, identify article relation by analyzing the citation context of the article. So first extract the citation context from the article. Citation context are classifies based on cue phrases of Simon tufel. Next, identify the relation of unlabeled article by word embedding. After labeling all articles identifythe perspective behind the citation of the article. In this project, citation relation is identified based on cue phrases of Simon tufel finally article impact is quantified based on the citation network formed from citation analysis. Index Terms: bibliometrics, citation, word embedding, article

Writing for Impact in Service Research

For service researchers, contributing to academic advancement through academic publications is a raison d’être. Moreover, demand is increasing for service researchers to make a difference beyond academia. Thus, service researchers face the formidable challenge of writing in a manner that resonates with not just service academics but also practitioners, policy makers, and other stakeholders. In this article, the authors examine how service research articles’ lexical variations might influence their academic citations and public media coverage. Drawing on the complete corpus of Journal of Service Research ( JSR) articles published between 1998 and 2020, they use text analytics and thereby determine that variations in language intensity, immediacy, and diversity relate to article impact. The appropriate use of these lexical variants and other stylistic conventions depends on the audience (academic or the public), the subsection of this article in which they appear (e.g., introduction, implications), and article innovativeness. This article concludes with an actionable “how-to” guide for ways to increase article impacts in relation to different JSR audiences.

Review article - Impact of Vitamin K on Human Health

Vitamins k is an important fat-soluble vitamin that can be obtained from plants, bacteria and animals and is necessary for the blood clotting. It plays a key function as a cofactor in the synthesizing of blood clotting proteins in the liver; recently, the interest for its functions in extra-hepatic tissue has increased. Vitamin k deficiency is usually caused by abnormal absorption rather than in the lack of vitamin in food. Apart from its impact on clotting, chronic subclinical deficiency of vitamin K maybe a risk factor for many diseases such as osteoporosis, atherosclerosis, cancer, insulin resistance, neurodegenerative diseases and others, while current food intake guidelines be focused on the daily dose necessary to avoid blood loss. Several researchers found out that vitamin K needs may be substantially higher for certain health functions.