Comparing SARS-Cov-2 Natural Immunity to Vaccine-Induced Immunity: Reinfections Versus Breakthrough Infections
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Medical Journals Drastically Speed up Their Publication Process for Covid-19
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.18.045963; this version posted April 18, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Pandemic Publishing: Medical journals drastically speed up their publication process for Covid-19 Author Serge P.J.M. Horbach*,1,2 [email protected] +31243652730 ORCID: 0000-0003-0406-6261 *Corresponding author 1 Radboud University Nijmegen, Faculty of Science, Institute for Science in Society, P.O. box 9010, 6500 GL Nijmegen, The Netherlands 2 Centre for Science and Technology Studies (CWTS), Faculty of Social Sciences, Leiden University, Wassenaarseweg 62A, 2333 AL Leiden, The Netherlands Abstract In times of public crises, including the current Covid-19 pandemic, rapid dissemination of relevant scientific knowledge is of paramount importance. The duration of scholarly journals’ publication process is one of the main factors hindering quick delivery of new information. While proper editorial assessment and peer review obviously require some time, turnaround times for medical journals can be up to several months, which is undesirable in the era of a crisis. Following initiatives of medical journals and scholarly publishers to accelerate their publication process, this study assesses whether medical journals have indeed managed to speed up their publication process for Covid-19 related articles. It studies the duration of 14 medical journals’ publication process both during and prior to the current pandemic. Assessing a total of 669 articles, the study concludes that medical journals have indeed drastically accelerated the publication process for Covid-19 related articles since the outbreak of the pandemic. -
Is Sci-Hub Increasing Visibility of Indian Research Papers? an Analytical Evaluation Vivek Kumar Singh1,*, Satya Swarup Srichandan1, Sujit Bhattacharya2
Journal of Scientometric Res. 2021; 10(1):130-134 http://www.jscires.org Perspective Paper Is Sci-Hub Increasing Visibility of Indian Research Papers? An Analytical Evaluation Vivek Kumar Singh1,*, Satya Swarup Srichandan1, Sujit Bhattacharya2 1Department of Computer Science, Banaras Hindu University, Varanasi, Uttar Pradesh, INDIA. 2CSIR-National Institute of Science Technology and Development Studies, New Delhi, INDIA. ABSTRACT Sci-Hub, founded by Alexandra Elbakyan in 2011 in Kazakhstan has, over the years, Correspondence emerged as a very popular source for researchers to download scientific papers. It is Vivek Kumar Singh believed that Sci-Hub contains more than 76 million academic articles. However, recently Department of Computer Science, three foreign academic publishers (Elsevier, Wiley and American Chemical Society) have Banaras Hindu University, filed a lawsuit against Sci-Hub and LibGen before the Delhi High Court and prayed for Varanasi-221005, INDIA. complete blocking these websites in India. It is in this context, that this paper attempts to Email id: [email protected] find out how many Indian research papers are available in Sci-Hub and who downloads them. The citation advantage of Indian research papers available on Sci-Hub is analysed, Received: 16-03-2021 with results confirming that such an advantage do exist. Revised: 29-03-2021 Accepted: 25-04-2021 Keywords: Indian Research, Indian Science, Black Open Access, Open Access, Sci-Hub. DOI: 10.5530/jscires.10.1.16 INTRODUCTION access publishing of their research output, and at the same time encouraging their researchers to publish in openly Responsible Research and Innovation (RRI) has become one accessible forms. -
COVID-19 Natural Immunity
COVID-19 natural immunity Scientific brief 10 May 2021 Key Messages: • Within 4 weeks following infection, 90-99% of individuals infected with the SARS-CoV-2 virus develop detectable neutralizing antibodies. • The strength and duration of the immune responses to SARS-CoV-2 are not completely understood and currently available data suggests that it varies by age and the severity of symptoms. Available scientific data suggests that in most people immune responses remain robust and protective against reinfection for at least 6-8 months after infection (the longest follow up with strong scientific evidence is currently approximately 8 months). • Some variant SARS-CoV-2 viruses with key changes in the spike protein have a reduced susceptibility to neutralization by antibodies in the blood. While neutralizing antibodies mainly target the spike protein, cellular immunity elicited by natural infection also target other viral proteins, which tend to be more conserved across variants than the spike protein. The ability of emerging virus variants (variants of interest and variants of concern) to evade immune responses is under investigation by researchers around the world. • There are many available serologic assays that measure the antibody response to SARS-CoV-2 infection, but at the present time, the correlates of protection are not well understood. Objective of the scientific brief This scientific brief replaces the WHO Scientific Brief entitled “’Immunity passports’ in the context of COVID-19”, published 24 April 2020.1 This update is focused on what is currently understood about SARS-CoV-2 immunity from natural infection. More information about considerations on vaccine certificates or “passports”will be covered in an update of WHO interim guidance, as requested by the COVID-19 emergency committee.2 Methods A rapid review on the subject was undertaken and scientific journals were regularly screened for articles on COVID-19 immunity to ensure to include all large and robust studies available in the literature at the time of writing. -
Sci-Hub Provides Access to Nearly All Scholarly Literature
Sci-Hub provides access to nearly all scholarly literature A DOI-citable version of this manuscript is available at https://doi.org/10.7287/peerj.preprints.3100. This manuscript was automatically generated from greenelab/scihub-manuscript@51678a7 on October 12, 2017. Submit feedback on the manuscript at git.io/v7feh or on the analyses at git.io/v7fvJ. Authors • Daniel S. Himmelstein 0000-0002-3012-7446 · dhimmel · dhimmel Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania · Funded by GBMF4552 • Ariel Rodriguez Romero 0000-0003-2290-4927 · arielsvn · arielswn Bidwise, Inc • Stephen Reid McLaughlin 0000-0002-9888-3168 · stevemclaugh · SteveMcLaugh School of Information, University of Texas at Austin • Bastian Greshake Tzovaras 0000-0002-9925-9623 · gedankenstuecke · gedankenstuecke Department of Applied Bioinformatics, Institute of Cell Biology and Neuroscience, Goethe University Frankfurt • Casey S. Greene 0000-0001-8713-9213 · cgreene · GreeneScientist Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania · Funded by GBMF4552 PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.3100v2 | CC BY 4.0 Open Access | rec: 12 Oct 2017, publ: 12 Oct 2017 Abstract The website Sci-Hub provides access to scholarly literature via full text PDF downloads. The site enables users to access articles that would otherwise be paywalled. Since its creation in 2011, Sci- Hub has grown rapidly in popularity. However, until now, the extent of Sci-Hub’s coverage was unclear. As of March 2017, we find that Sci-Hub’s database contains 68.9% of all 81.6 million scholarly articles, which rises to 85.2% for those published in toll access journals. -
Open Access Availability of Scientific Publications
Analytical Support for Bibliometrics Indicators Open access availability of scientific publications Analytical Support for Bibliometrics Indicators Open access availability of scientific publications* Final Report January 2018 By: Science-Metrix Inc. 1335 Mont-Royal E. ▪ Montréal ▪ Québec ▪ Canada ▪ H2J 1Y6 1.514.495.6505 ▪ 1.800.994.4761 [email protected] ▪ www.science-metrix.com *This work was funded by the National Science Foundation’s (NSF) National Center for Science and Engineering Statistics (NCSES). Any opinions, findings, conclusions or recommendations expressed in this report do not necessarily reflect the views of NCSES or the NSF. The analysis for this research was conducted by SRI International on behalf of NSF’s NCSES under contract number NSFDACS1063289. Analytical Support for Bibliometrics Indicators Open access availability of scientific publications Contents Contents .............................................................................................................................................................. i Tables ................................................................................................................................................................. ii Figures ................................................................................................................................................................ ii Abstract ............................................................................................................................................................ -
Outbreak of SARS-Cov-2 Infections, Including COVID-19 Vaccine
Morbidity and Mortality Weekly Report Outbreak of SARS-CoV-2 Infections, Including COVID-19 Vaccine Breakthrough Infections, Associated with Large Public Gatherings — Barnstable County, Massachusetts, July 2021 Catherine M. Brown, DVM1; Johanna Vostok, MPH1; Hillary Johnson, MHS1; Meagan Burns, MPH1; Radhika Gharpure, DVM2; Samira Sami, DrPH2; Rebecca T. Sabo, MPH2; Noemi Hall, PhD2; Anne Foreman, PhD2; Petra L. Schubert, MPH1; Glen R. Gallagher PhD1; Timelia Fink1; Lawrence C. Madoff, MD1; Stacey B. Gabriel, PhD3; Bronwyn MacInnis, PhD3; Daniel J. Park, PhD3; Katherine J. Siddle, PhD3; Vaira Harik, MS4; Deirdre Arvidson, MSN4; Taylor Brock-Fisher, MSc5; Molly Dunn, DVM5; Amanda Kearns5; A. Scott Laney, PhD2 On July 30, 2021, this report was posted as an MMWR Early Massachusetts, that attracted thousands of tourists from across Release on the MMWR website (https://www.cdc.gov/mmwr). the United States. Beginning July 10, the Massachusetts During July 2021, 469 cases of COVID-19 associated Department of Public Health (MA DPH) received reports of with multiple summer events and large public gatherings in an increase in COVID-19 cases among persons who reside in a town in Barnstable County, Massachusetts, were identified or recently visited Barnstable County, including in fully vac- among Massachusetts residents; vaccination coverage among cinated persons. Persons with COVID-19 reported attending eligible Massachusetts residents was 69%. Approximately densely packed indoor and outdoor events at venues that three quarters (346; 74%) of cases occurred in fully vac- included bars, restaurants, guest houses, and rental homes. On cinated persons (those who had completed a 2-dose course July 3, MA DPH had reported a 14-day average COVID-19 of mRNA vaccine [Pfizer-BioNTech or Moderna] or had incidence of zero cases per 100,000 persons per day in residents received a single dose of Janssen [Johnson & Johnson] vac- of the town in Barnstable County; by July 17, the 14-day cine ≥14 days before exposure). -
Do You Speak Open Science? Resources and Tips to Learn the Language
Do You Speak Open Science? Resources and Tips to Learn the Language. Paola Masuzzo1, 2 - ORCID: 0000-0003-3699-1195, Lennart Martens1,2 - ORCID: 0000- 0003-4277-658X Author Affiliation 1 Medical Biotechnology Center, VIB, Ghent, Belgium 2 Department of Biochemistry, Ghent University, Ghent, Belgium Abstract The internet era, large-scale computing and storage resources, mobile devices, social media, and their high uptake among different groups of people, have all deeply changed the way knowledge is created, communicated, and further deployed. These advances have enabled a radical transformation of the practice of science, which is now more open, more global and collaborative, and closer to society than ever. Open science has therefore become an increasingly important topic. Moreover, as open science is actively pursued by several high-profile funders and institutions, it has fast become a crucial matter to all researchers. However, because this widespread interest in open science has emerged relatively recently, its definition and implementation are constantly shifting and evolving, sometimes leaving researchers in doubt about how to adopt open science, and which are the best practices to follow. This article therefore aims to be a field guide for scientists who want to perform science in the open, offering resources and tips to make open science happen in the four key areas of data, code, publications and peer-review. The Rationale for Open Science: Standing on the Shoulders of Giants One of the most widely used definitions of open science originates from Michael Nielsen [1]: “Open science is the idea that scientific knowledge of all kinds should be openly shared as early as is practical in the discovery process”. -
Downloads Presented on the Abstract Page
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.27.063578; this version posted April 28, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. A systematic examination of preprint platforms for use in the medical and biomedical sciences setting Jamie J Kirkham1*, Naomi Penfold2, Fiona Murphy3, Isabelle Boutron4, John PA Ioannidis5, Jessica K Polka2, David Moher6,7 1Centre for Biostatistics, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom. 2ASAPbio, San Francisco, CA, USA. 3Murphy Mitchell Consulting Ltd. 4Université de Paris, Centre of Research in Epidemiology and Statistics (CRESS), Inserm, Paris, F-75004 France. 5Meta-Research Innovation Center at Stanford (METRICS) and Departments of Medicine, of Epidemiology and Population Health, of Biomedical Data Science, and of Statistics, Stanford University, Stanford, CA, USA. 6Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada. 7School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada. *Corresponding Author: Professor Jamie Kirkham Centre for Biostatistics Faculty of Biology, Medicine and Health The University of Manchester Jean McFarlane Building Oxford Road Manchester, M13 9PL, UK Email: [email protected] Tel: +44 (0)161 275 1135 bioRxiv preprint doi: https://doi.org/10.1101/2020.04.27.063578; this version posted April 28, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. -
“Publish Or Perish” As Citation Metrics Used to Analyze Scientific Output In
ai-6.qxd 11/4/08 2:52 PM Page 1 VARIA – SCIENTOMETRICS Arch. Immunol. Ther. Exp., 2008, 56, 1–9 DOI 10.1007/s00005-008-0043-0 PL ISSN 0004-069X “Publish or Perish” as citation metrics used to analyze scientific output in the humanities: International case studies in economics, geography, social sciences, philosophy, and history Audrey Baneyx Institut Francilien “Recherche, Innovation et Société” (IFRIS)1, Paris, France Received: 2008.10.16, Accepted: 2008.10.27 Abstract Traditionally, the most commonly used source of bibliometric data is the Thomson ISI Web of Knowledge, in particular the (Social) Science Citation Index and the Journal Citation Reports, which provide the yearly Journal Impact Factors. This database used for the evaluation of researchers is not advantageous in the humanities, mainly because books, conference papers, and non-English journals, which are an important part of scientific activity, are not (well) covered. This paper pre- sents the use of an alternative source of data, Google Scholar, and its benefits in calculating citation metrics in the humani- ties. Because of its broader range of data sources, the use of Google Scholar generally results in more comprehensive cita- tion coverage in the humanities. This presentation compares and analyzes some international case studies with ISI Web of Knowledge and Google Scholar. The fields of economics, geography, social sciences, philosophy, and history are focused on to illustrate the differences of results between these two databases. To search for relevant publications in the Google Scholar database, the use of “Publish or Perish” and of CleanPoP, which the author developed to clean the results, are compared. -
SARS-Cov-2 Vaccine Breakthrough Infections Are Asymptomatic Or Mildly Symptomatic and Are Infrequently Transmitted
medRxiv preprint doi: https://doi.org/10.1101/2021.06.29.21259500; this version posted July 3, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license . SARS-CoV-2 vaccine breakthrough infections are asymptomatic or mildly symptomatic and are infrequently transmitted. Francesca Rovida1, Irene Cassaniti1, Stefania Paolucci1, Elena Percivalle1, Antonella Sarasini1, Antonio Piralla1, Federica Giardina1, Jose Camilla Sammartino1, Alessandro Ferrari1, Federica Bergami1, Alba Muzzi2, Viola Novelli2, Alessandro Meloni2,6, Anna Maria Grugnetti3, Giuseppina Grugnetti3, Claudia Rona2, Marinella Daglio2, Carlo Marena2, Antonio Triarico4, Daniele Lilleri1*, Fausto Baldanti1,5 1Molecular Virology Unit, Microbiology and Virology Department, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy; 2Medical Direction, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy; 3Health Professions Direction, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy; 4Direzione Sanitaria, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy; 5Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy; 6 Department of Public Health, Experimental and Forensic Medicine, Section of Hygiene, University of Pavia, Pavia, Italy; *Correspondence to: Daniele Lilleri; [email protected] World count: Abstract: 148 Text: 1900 NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2021.06.29.21259500; this version posted July 3, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. -
Effect of Vaccination and of Prior Infection on Infectiousness of Vaccine Breakthrough Infections and Reinfections
medRxiv preprint doi: https://doi.org/10.1101/2021.07.28.21261086; this version posted July 30, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Effect of vaccination and of prior infection on infectiousness of vaccine breakthrough infections and reinfections Laith J. Abu-Raddad, PhD1,2,3,4*, Hiam Chemaitelly, MSc1,2, Houssein H. Ayoub, PhD5, Patrick Tang, MD PhD6, Peter Coyle, MD7,8,9, Mohammad R. Hasan, PhD6, Hadi M. Yassine, PhD8,10, Fatiha M. Benslimane, PhD8,10, Hebah A. Al Khatib, PhD8,10, Zaina Al Kanaani, PhD7, Einas Al Kuwari, MD7, Andrew Jeremijenko, MD7, Anvar Hassan Kaleeckal, MSc7, Ali Nizar Latif, MD7, Riyazuddin Mohammad Shaik, MSc7, Hanan F. Abdul Rahim, PhD4, Gheyath K. Nasrallah, PhD8,10, Mohamed Ghaith Al Kuwari, MD11, Adeel A. Butt, MBBS MS3,7, Hamad Eid Al Romaihi, MD12, Abdullatif Al Khal, MD7, Mohamed H. Al-Thani, MD12, and Roberto Bertollini, MD MPH12 1Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Doha, Qatar 2World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine–Qatar, Cornell University, Qatar Foundation – Education City, Doha, Qatar 3Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, New York, USA 4Department of Public Health, -
COVID-19 Preprints and Their Publishing Rate: an Improved Method
medRxiv preprint doi: https://doi.org/10.1101/2020.09.04.20188771; this version posted September 7, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license . COVID-19 Preprints and Their Publishing Rate: An Improved Method Francois Lachapelle, PhD Candidate Department of Sociology, University of British Columbia Abstract Context: As the COVID-19 pandemic persists around the world, the scientific community continues to produce and circulate knowledge on the deadly disease at an unprecedented rate. During the early stage of the pandemic, preprints represented nearly 40% of all English-language COVID-19 scientific corpus (6, 000+ preprints | 16, 000+ articles). As of mid-August 2020, that proportion dropped to around 28% (13, 000+ preprints | 49, 000+ articles). Nevertheless, preprint servers remain a key engine in the efficient dissemination of scientific work on this infectious disease. But, giving the ‘uncertified’ nature of the scientific manuscripts curated on preprint repositories, their integration to the global ecosystem of scientific communication is not without creating serious tensions. This is especially the case for biomedical knowledge since the dissemination of bad science can have widespread societal consequences. Scope: In this paper, I propose a robust method that will allow the repeated monitoring and measuring of COVID-19 preprint’s publication rate. I also introduce a new API called Upload-or-Perish. It is a micro- API service that enables a client to query a specific preprint manuscript’s publication status and associated meta-data using a unique ID.