The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.

About Followers

Latest preprint reviews

  1. Chronic Fatigue and Postexertional Malaise in People Living With Long COVID: An Observational Study

    1. Rosie Twomey
    2. Jessica DeMars
    3. Kelli Franklin
    4. S Nicole Culos-Reed
    5. Jason Weatherald
    6. James G Wrightson

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Exposure route, sex, and age influence disease outcome in a golden Syrian hamster model of SARS-CoV-2 infection

    1. Bryan D. Griffin
    2. Bryce M. Warner
    3. Mable Chan
    4. Emelissa J. Mendoza
    5. Nikesh Tailor
    6. Logan Banadyga
    7. Anders Leung
    8. Shihua He
    9. Amrit S. Boese
    10. Jonathan Audet
    11. Wenguang Cao
    12. Estella Moffat
    13. Lauren Garnett
    14. Kevin Tierney
    15. Kaylie N. Tran
    16. Alixandra Albietz
    17. Kathy Manguiat
    18. Geoff Soule
    19. Alexander Bello
    20. Robert Vendramelli
    21. Jessica Lin
    22. Yvon Deschambault
    23. Wenjun Zhu
    24. David Safronetz
    25. Heidi Wood
    26. Samira Mubareka
    27. James E. Strong
    28. Carissa Embury-Hyatt
    29. Darwyn Kobasa

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Convalescent Plasma in Critically ill Patients with Covid-19

    1. The REMAP-CAP Investigators
    2. Lise J. Estcourt

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Deaths involving COVID-19 by self-reported disability status during the first two waves of the COVID-19 pandemic in England: a retrospective, population-based cohort study

    1. Matthew L Bosworth
    2. Daniel Ayoubkhani
    3. Vahé Nafilyan
    4. Josephine Foubert
    5. Myer Glickman
    6. Calum Davey
    7. Hannah Kuper

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Cross-Neutralizing Activity Against SARS-CoV-2 Variants in COVID-19 Patients: Comparison of 4 Waves of the Pandemic in Japan

    1. Koichi Furukawa
    2. Lidya Handayani Tjan
    3. Silvia Sutandhio
    4. Yukiya Kurahashi
    5. Sachiyo Iwata
    6. Yoshiki Tohma
    7. Shigeru Sano
    8. Sachiko Nakamura
    9. Mitsuhiro Nishimura
    10. Jun Arii
    11. Tatsunori Kiriu
    12. Masatsugu Yamamoto
    13. Tatsuya Nagano
    14. Yoshihiro Nishimura
    15. Yasuko Mori

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Risk factors for hospitalization, disease severity and mortality in children and adolescents with COVID-19: Results from a nationwide German registry

    1. J Armann
    2. M Doenhardt
    3. M Hufnagel
    4. N Diffloth
    5. F Reichert
    6. W Haas
    7. J Schilling
    8. S Haller
    9. J Hübner
    10. A Simon
    11. DT Schneider
    12. J Brunner
    13. A Trotter
    14. M Roessler
    15. J Schmitt
    16. R Berner

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Topological data analysis identifies emerging adaptive mutations in SARS-CoV-2

    1. Michael Bleher
    2. Lukas Hahn
    3. Maximilian Neumann
    4. Juan Ángel Patiño-Galindo
    5. Mathieu Carrière
    6. Ulrich Bauer
    7. Raúl Rabadán
    8. Andreas Ott

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. NMPylation and de-NMPylation of SARS-CoV-2 nsp9 by the NiRAN domain

    1. Bing Wang
    2. Dmitri Svetlov
    3. Irina Artsimovitch

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Regulatory dissection of the severe COVID-19 risk locus introgressed by Neanderthals

    1. Evelyn Jagoda
    2. Davide Marnetto
    3. Gayani Senevirathne
    4. Victoria Gonzalez
    5. Kaushal Baid
    6. Francesco Montinaro
    7. Daniel Richard
    8. Darryl Falzarano
    9. Emmanuelle V LeBlanc
    10. Che C Colpitts
    11. Arinjay Banerjee
    12. Luca Pagani
    13. Terence D Capellini

    • Curated by eLife

      eLife assessment

      Scientists had previously discovered that humans and neanderthals mated leading to parts of neanderthal DNA becoming part of the human genome today. More recently, it was found that a genetic region, carrying which has been associated with manifestation of severe COVID-19 symptoms, is one that was "introgressed" into humans from neanderthals. This region contains many genetic variants, and this study set out to identify which of these genetic variants may be causally involved in creating severe symptoms in response to COVID-19 infection. The main critiques of the study stem from details of the functional assays to establish the regulatory role of the 4 variants in creating severe COVID-19 symptoms. In particular, the two genes (critical chemokine receptor genes: CCR1 and CCR5) that the authors identify as down-regulated by these variants are actually up-regulated in severe COVID-19 patients, leading to doubt about the role of these variants in changing response to COVID-19 through the regulation of these genes. In that regard, it seems necessary to conduct follow-up experimental and computational analyses to establish the role of these variants in altering CCR1 and CCR5 gene expression.

    Reviewed by eLife, ScreenIT

    6 evaluationsAppears in 2 listsLatest version Latest activity

  10. COVID- e Vax, an electroporated plasmid DNA vaccine candidate encoding the SARS-CoV-2 Receptor Binding Domain, elicits protective immune responses in animal models of COVID-19

    1. Antonella Conforti
    2. Emanuele Marra
    3. Fabio Palombo
    4. Giuseppe Roscilli
    5. Micol Ravà
    6. Valeria Fumagalli
    7. Alessia Muzi
    8. Mariano Maffei
    9. Laura Luberto
    10. Lucia Lione
    11. Erika Salvatori
    12. Mirco Compagnone
    13. Eleonora Pinto
    14. Emiliano Pavoni
    15. Federica Bucci
    16. Grazia Vitagliano
    17. Daniela Stoppoloni
    18. Maria Lucrezia Pacello
    19. Manuela Cappelletti
    20. Fabiana Fosca Ferrara
    21. Emanuela D’Acunto
    22. Valerio Chiarini
    23. Roberto Arriga
    24. Abraham Nyska
    25. Pietro Di Lucia
    26. Davide Marotta
    27. Elisa Bono
    28. Leonardo Giustini
    29. Eleonora Sala
    30. Chiara Perucchini
    31. Jemma Paterson
    32. Kathryn Ann Ryan
    33. Amy-Rose Challis
    34. Giulia Matusali
    35. Francesca Colavita
    36. Gianfranco Caselli
    37. Elena Criscuolo
    38. Nicola Clementi
    39. Nicasio Mancini
    40. Rüdiger Groß
    41. Alina Seidel
    42. Lukas Wettstein
    43. Jan Münch
    44. Lorena Donnici
    45. Matteo Conti
    46. Raffaele De Francesco
    47. Mirela Kuka
    48. Gennaro Ciliberto
    49. Concetta Castilletti
    50. Maria Rosaria Capobianchi
    51. Giuseppe Ippolito
    52. Luca G. Guidotti
    53. Lucio Rovati
    54. Matteo Iannacone
    55. Luigi Aurisicchio

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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