IDEAS home Printed from https://ideas.repec.org/a/plo/pbio00/1001884.html
   My bibliography  Save this article

microBEnet: Lessons Learned from Building an Interdisciplinary Scientific Community in the Online Sphere

Author

Listed:
  • Holly M Bik
  • David A Coil
  • Jonathan A Eisen

Abstract

The Microbiology of the Built Environment Network (microBEnet) has served as an experiment in online community building. Here we discuss strategies used to launch a new, interdisciplinary scientific field, and their implications.

Suggested Citation

  • Holly M Bik & David A Coil & Jonathan A Eisen, 2014. "microBEnet: Lessons Learned from Building an Interdisciplinary Scientific Community in the Online Sphere," PLOS Biology, Public Library of Science, vol. 12(6), pages 1-4, June.
    • Handle: RePEc:plo:pbio00:1001884
    DOI: 10.1371/journal.pbio.1001884
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001884
    Download Restriction: no
    File URL: https://journals.plos.org/plosbiology/article/file?id=10.1371/journal.pbio.1001884&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pbio.1001884?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Xin Shuai & Alberto Pepe & Johan Bollen, 2012. "How the Scientific Community Reacts to Newly Submitted Preprints: Article Downloads, Twitter Mentions, and Citations," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-8, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andrew Wright, 2015. "Defending the Ivory Tower against the end of the world," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 5(1), pages 66-69, March.
    2. Beatriz Barros & Ana Fernández-Zubieta & Raul Fidalgo-Merino & Francisco Triguero, 2018. "Scientific knowledge percolation process and social impact: A case study on the biotechnology and microbiology perceptions on Twitter," Science and Public Policy, Oxford University Press, vol. 45(6), pages 804-814.
    3. Kim Holmberg & Mike Thelwall, 2014. "Disciplinary differences in Twitter scholarly communication," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1027-1042, November.
    4. Wang, Zhiqi & Chen, Yue & Glänzel, Wolfgang, 2020. "Preprints as accelerator of scholarly communication: An empirical analysis in Mathematics," Journal of Informetrics, Elsevier, vol. 14(4).
    5. Ortega, José Luis, 2018. "The life cycle of altmetric impact: A longitudinal study of six metrics from PlumX," Journal of Informetrics, Elsevier, vol. 12(3), pages 579-589.
    6. Mike Thelwall & Stefanie Haustein & Vincent Larivière & Cassidy R Sugimoto, 2013. "Do Altmetrics Work? Twitter and Ten Other Social Web Services," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-7, May.
    7. Mike Thelwall, 2021. "Measuring Societal Impacts Of Research With Altmetrics? Common Problems And Mistakes," Journal of Economic Surveys, Wiley Blackwell, vol. 35(5), pages 1302-1314, December.
    8. Xu, Fang & Ou, Guiyan & Ma, Tingcan & Wang, Xianwen, 2021. "The consistency of impact of preprints and their journal publications," Journal of Informetrics, Elsevier, vol. 15(2).
    9. Saeideh Ebrahimy & Jafar Mehrad & Fatemeh Setareh & Massoud Hosseinchari, 2016. "Path analysis of the relationship between visibility and citation: the mediating roles of save, discussion, and recommendation metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1497-1510, December.
    10. Victoria Tur-Viñes & Jesús Segarra-Saavedra & Tatiana Hidalgo-Marí, 2018. "Use of Twitter in Spanish Communication Journals," Publications, MDPI, vol. 6(3), pages 1-10, July.
    11. Xianwen Wang & Wenli Mao & Shenmeng Xu & Chunbo Zhang, 2014. "Usage history of scientific literature: Nature metrics and metrics of Nature publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1923-1933, March.
    12. Petr Heneberg, 2013. "Effects of Print Publication Lag in Dual Format Journals on Scientometric Indicators," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-12, April.
    13. Beibei Hu & Xianlei Dong & Chenwei Zhang & Timothy D. Bowman & Ying Ding & Staša Milojević & Chaoqun Ni & Erjia Yan & Vincent Larivière, 2015. "A lead-lag analysis of the topic evolution patterns for preprints and publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(12), pages 2643-2656, December.
    14. Brito, Ana C.M. & Silva, Filipi N. & de Arruda, Henrique F. & Comin, Cesar H. & Amancio, Diego R. & Costa, Luciano da F., 2021. "Classification of abrupt changes along viewing profiles of scientific articles," Journal of Informetrics, Elsevier, vol. 15(2).
    15. Amalia Mas-Bleda & Mike Thelwall, 2016. "Can alternative indicators overcome language biases in citation counts? A comparison of Spanish and UK research," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2007-2030, December.
    16. Juan C. Correa & Henry Laverde-Rojas & Julian Tejada & Fernando Marmolejo-Ramos, 2022. "The Sci-Hub effect on papers’ citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 99-126, January.
    17. C. A. Piña-García & J. Mario Siqueiros-García & E. Robles-Belmont & Gustavo Carreón & Carlos Gershenson & Julio Amador Díaz López, 2018. "From neuroscience to computer science: a topical approach on Twitter," Journal of Computational Social Science, Springer, vol. 1(1), pages 187-208, January.
    18. Jurgita Raudeliūnienė & Vida Davidavičienė & Manuela Tvaronavičienė & Laimonas Jonuška, 2018. "Evaluation of Advertising Campaigns on Social Media Networks," Sustainability, MDPI, vol. 10(4), pages 1-14, March.
    19. Grover, Purva & Kar, Arpan Kumar & Dwivedi, Yogesh K. & Janssen, Marijn, 2019. "Polarization and acculturation in US Election 2016 outcomes – Can twitter analytics predict changes in voting preferences," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 438-460.
    20. Liwen Vaughan, 2016. "Uncovering information from social media hyperlinks: An investigation of twitter," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1105-1120, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pbio00:1001884. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosbiology (email available below). General contact details of provider: https://journals.plos.org/plosbiology/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.