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Background: 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. Methods: 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. Results and conclusion: 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.
The International Natural Product Sciences Taskforce (INPST) and the power of Twitter networking exemplified through #INPST hashtag analysis
Singla, Rajeev K;De, Ronita;Efferth, Thomas;Mezzetti, Bruno;Sahab Uddin, Md;Sanusi, null;Ntie-Kang, Fidele;Wang, Dongdong;Schultz, Fabien;Kharat, Kiran R;Devkota, Hari Prasad;Battino, Maurizio;Sur, Daniel;Lordan, Ronan;Patnaik, Sourav S;Tsagkaris, Christos;Sai, Chandragiri Siva;Tripathi, Surya Kant;Găman, Mihnea-Alexandru;Ahmed, Mosa E O;González-Burgos, Elena;Babiaka, Smith B;Paswan, Shravan Kumar;Odimegwu, Joy Ifunanya;Akram, Faizan;Simal-Gandara, Jesus;Urquiza, Mágali S;Tikhonov, Aleksei;Mondal, Himel;Singla, Shailja;Lonardo, Sara Di;Mulholland, Eoghan J;Cenanovic, Merisa;Maigoro, Abdulkadir Yusif;Giampieri, Francesca;Lee, Soojin;Tzvetkov, Nikolay T;Louka, Anna Maria;Verma, Pritt;Chopra, Hitesh;Olea, Scarlett Perez;Khan, Johra;Alvarez Suarez, José M;Zheng, Xiaonan;Tomczyk, Michał;Sabnani, Manoj Kumar;Medina, Christhian Delfino Villanueva;Khalid, Garba M;Boyina, Hemanth Kumar;Georgiev, Milen I;Supuran, Claudiu T;Sobarzo-Sánchez, Eduardo;Fan, Tai-Ping;Pittala, Valeria;Sureda, Antoni;Braidy, Nady;Russo, Gian Luigi;Vacca, Rosa Anna;Banach, Maciej;Lizard, Gérard;Zarrouk, Amira;Hammami, Sonia;Orhan, Ilkay Erdogan;Aggarwal, Bharat B;Perry, George;Miller, Mark Js;Heinrich, Michael;Bishayee, Anupam;Kijjoa, Anake;Arkells, Nicolas;Bredt, David;Wink, Michael;Fiebich, Bernd L;Kiran, Gangarapu;Yeung, Andy Wai Kan;Gupta, Girish Kumar;Santini, Antonello;Lucarini, Massimo;Durazzo, Alessandra;El-Demerdash, Amr;Dinkova-Kostova, Albena T;Cifuentes, Alejandro;Souto, Eliana B;Zubair, Muhammad Asim Masoom;Badhe, Pravin;Echeverría, Javier;Horbańczuk, Jarosław Olav;Horbanczuk, Olaf K;Sheridan, Helen;Sheshe, Sadeeq Muhammad;Witkowska, Anna Maria;Abu-Reidah, Ibrahim M;Riaz, Muhammad;Ullah, Hammad;Oladipupo, Akolade R;Lopez, Víctor;Sethiya, Neeraj Kumar;Shrestha, Bhupal Govinda;Ravanan, Palaniyandi;Gupta, Subash Chandra;Alzahrani, Qushmua E;Dama Sreedhar, Preethidan;Xiao, Jianbo;Moosavi, Mohammad Amin;Subramani, Parasuraman Aiya;Singh, Amit Kumar;Chettupalli, Ananda Kumar;Patra, Jayanta Kumar;Singh, Gopal;Karpiński, Tomasz M;Al-Rimawi, Fuad;Abiri, Rambod;Ahmed, Atallah F;Barreca, Davide;Vats, Sharad;Amrani, Said;Fimognari, Carmela;Mocan, Andrei;Hritcu, Lucian;Semwal, Prabhakar;Shiblur Rahaman, Md;Emerald, Mila;Akinrinde, Akinleye Stephen;Singh, Abhilasha;Joshi, Ashima;Joshi, Tanuj;Khan, Shafaat Yar;Balla, Gareeballah Osman Adam;Lu, Aiping;Pai, Sandeep Ramchandra;Ghzaiel, Imen;Acar, Niyazi;Es-Safi, Nour Eddine;Zengin, Gokhan;Kureshi, Azazahemad A;Sharma, Arvind Kumar;Baral, Bikash;Rani, Neeraj;Jeandet, Philippe;Gulati, Monica;Kapoor, Bhupinder;Mohanta, Yugal Kishore;Emam-Djomeh, Zahra;Onuku, Raphael;Depew, Jennifer R;Atrooz, Omar M;Goh, Bey Hing;Andrade, Jose Carlos;Konwar, Bikramjit;Shine, V J;Ferreira, João Miguel Lousa Dias;Ahmad, Jamil;Chaturvedi, Vivek K;Skalicka-Woźniak, Krystyna;Sharma, Rohit;Gautam, Rupesh K;Granica, Sebastian;Parisi, Salvatore;Kumar, Rishabh;Atanasov, Atanas G;Shen, Bairong
2023
Abstract
Background: 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. Methods: 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. Results and conclusion: 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.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1303162
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2021-2023 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.
