Designing next-generation platforms for evaluating scientific output: what scientists can learn from the social web.

Yarkoni T

Open source

DOI: 10.3389/fncom.2012.00072
Published: 2012
Container: Frontiers in computational neuroscience
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fncom.2012.00072,
  title = {Designing next-generation platforms for evaluating scientific output: what scientists can learn from the social web.},
  author = {Yarkoni T},
  year = {2012},
  journal = {Frontiers in computational neuroscience},
  doi = {10.3389/fncom.2012.00072},
  url = {https://doi.org/10.3389/fncom.2012.00072}
}

RIS

TY  - JOUR
TI  - Designing next-generation platforms for evaluating scientific output: what scientists can learn from the social web.
AU  - Yarkoni T
PY  - 2012
JO  - Frontiers in computational neuroscience
DO  - 10.3389/fncom.2012.00072
UR  - https://doi.org/10.3389/fncom.2012.00072
ER  -

APA

T, Y. (2012). Designing next-generation platforms for evaluating scientific output: what scientists can learn from the social web.. Frontiers in computational neuroscience. https://doi.org/10.3389/fncom.2012.00072

Source records

pubmed · retrieved 2026-09-25T03:41:38.089Z
europe-pmc · retrieved 2026-09-25T03:41:38.122Z
doaj · retrieved 2026-09-25T03:41:38.093Z