Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Xinchuan Road 2222, Chengdu, Sichuan, China; School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab-144411, India.
ICMR-National Institute of Cholera and Enteric Diseases, P-33, CIT Rd, Subhas Sarobar Park, Phool Bagan, Beleghata, Kolkata, West Bengal 700010, India.
Phytomedicine. 2023 Jan;108:154520. doi: 10.1016/j.phymed.2022.154520. Epub 2022 Oct 22.
The development of digital technologies and the evolution of open innovation approaches have enabled the creation of diverse virtual organizations and enterprises coordinating their activities primarily online. The open innovation platform titled "International Natural Product Sciences Taskforce" (INPST) was established in 2018, to bring together in collaborative environment individuals and organizations interested in natural product scientific research, and to empower their interactions by using digital communication tools.
In this work, we present a general overview of INPST activities and showcase the specific use of Twitter as a powerful networking tool that was used to host a one-week "2021 INPST Twitter Networking Event" (spanning from 31st May 2021 to 6th June 2021) based on the application of the Twitter hashtag #INPST.
The use of this hashtag during the networking event period was analyzed with Symplur Signals (https://www.symplur.com/), revealing a total of 6,036 tweets, shared by 686 users, which generated a total of 65,004,773 impressions (views of the respective tweets). This networking event's achieved high visibility and participation rate showcases a convincing example of how this social media platform can be used as a highly effective tool to host virtual Twitter-based international biomedical research events.
数字技术的发展和开放式创新方法的演进，使得各种虚拟组织和企业得以创建，这些组织和企业主要通过在线协调其活动。“国际天然产物科学工作组”（INPST）开放式创新平台成立于 2018 年，旨在将对天然产物科学研究感兴趣的个人和组织聚集在协作环境中，并通过使用数字通信工具增强他们的互动。
在这项工作中，我们概述了 INPST 的活动，并展示了 Twitter 作为一种强大的网络工具的具体用途，该工具被用于举办为期一周的“2021 年 INPST Twitter 网络活动”（2021 年 5 月 31 日至 6 月 6 日），该活动基于 Twitter 标签#INPST 的应用。
在网络活动期间，使用 Symplur Signals（https://www.symplur.com/）对这个标签进行了分析，共分析了 6,036 条推文，由 686 名用户分享，共产生了 65,004,773 次展示（各自推文的浏览量）。这个网络活动的高可见度和参与率展示了一个令人信服的例子，说明如何使用这个社交媒体平台作为举办基于 Twitter 的虚拟国际生物医学研究活动的高效工具。
