New perspectives on analysing data from biological collections based on social network analytics
Crossref DOI link: https://doi.org/10.1038/s41598-020-60134-y
Published Online: 2020-02-25
Update policy: https://doi.org/10.1007/springer_crossmark_policy
de Siracusa, Pedro C.
Gadelha, Luiz M. R. Jr.
Ziviani, Artur https://orcid.org/0000-0001-9326-8214
Funding for this research was provided by:
CAPES, CNPq, FAPERJ, FAPESP
Text and Data Mining valid from 2020-02-25
Version of Record valid from 2020-02-25
Article History
Received: 9 August 2019
Accepted: 5 February 2020
First Online: 25 February 2020
Competing interests
: The authors declare no competing interests.