stands for Digital Object Identifier
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.
Using DOI as a persistent link
To create a persistent link, add「http://dx.doi.org/」
before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: http://dx.doi.org/ 10.5297/ser.1201.002 。
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.
Cite a document with DOI
When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.
DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registration （ doi.airiti.com ） 。
- 1. Beatty, M.E., Stone, A., Fitzsimons, D.W., Hanna, J.N., Lam, S.K., and Vong, S., et al. (2010),“Best practices in dengue surveillance: A report from the Asia-Pacific and Americas Dengue Prevention Boards.”PLOS Neglected Tropical Diseases, 4:e890.
- 2. Brady, O.J., Smith, D.L., Scott, T.W., and Hay, S.I. (2015), “Dengue disease outbreak definitions are implicitly variable.”Epidemics, 11:92-102.
- 3. Brunkard, J.M., Cifuentes, E., and Rothenberg, S.J. (2008), “Assessing the roles of temperature, precipitation, and ENSO in dengue re-emergence on the Texas-Mexico border region.”Salud Pública de México, 50:227-234.
- 4. Buczak, A.L., Koshute, P.T., Babin, S.M., Feighner, B.H., and Lewis, S.H. (2012),“A data-driven epidemiological prediction method for dengue outbreaks using local and remote sensing data.”BMC Medical Informatics and Decision Making , 12:124.
- 6. Chan, E.H., Saha,i V., Conrad, C. and Brownstein, J.S. (2011),“Using Web search query data to monitor dengue epidemics: A new model for neglected tropical disease surveillance.”PLOS Neglected Tropical Diseases, 5:e1206.
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