000 | 03195cam a22004337a 4500 | ||
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001 | w31565 | ||
003 | NBER | ||
005 | 20240125162311.0 | ||
006 | m o d | ||
007 | cr cnu|||||||| | ||
008 | 240124s2023 mau fo 000 0 eng d | ||
040 |
_aMaCbNBER _beng _cMaCbNBER |
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100 | 1 | _aFry, Caroline. | |
245 | 1 | 0 |
_aAuthor Country of Origin and Attention on Open Science Platforms: _bEvidence from COVID-19 Preprints / _cCaroline Fry, Megan MacGarvie. |
260 |
_aCambridge, Mass. _bNational Bureau of Economic Research _c2023. |
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300 |
_a1 online resource: _billustrations (black and white); |
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490 | 1 |
_aNBER working paper series _vno. w31565 |
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500 | _aAugust 2023. | ||
520 | 3 | _aOnline platforms such as preprint servers have become an important way to disseminate new scientific knowledge prior to peer review. However, little is known about how attention to preprints may vary across authors from different countries of origin, particularly relative to evaluation in expert-controlled systems such as scientific journals. This study explores how readers allocated attention across preprints in the initial months of the COVID-19 pandemic, a time when there was an increase in demand for new research and a corresponding increase in the use of preprint platforms around the world. We find that, after controlling carefully for article quality and topic as well as the prominence of the preprint's ultimate publication outlet, preprints with authors from Chinese institutions receive less attention, and preprints with authors from U.S. institutions receive more attention, than preprints with authors from the rest of the world. In an exploration of potential mechanisms driving the observed effects, we find evidence that when evaluation is more constrained, in terms of lack of knowledge or expertise and increase in time pressure, audiences tend to make greater use of preprint authors' country of origin as a proxy for quality or relevance. The results suggest that geographic biases may persist or even be exacerbated on platforms designed to promote unfettered access to early research findings. | |
530 | _aHardcopy version available to institutional subscribers | ||
538 | _aSystem requirements: Adobe [Acrobat] Reader required for PDF files. | ||
538 | _aMode of access: World Wide Web. | ||
588 | 0 | _aPrint version record | |
690 | 7 |
_aInnovation and Invention: Processes and Incentives _2jelc |
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650 | 7 |
_aInnovation and Invention: Processes and Incentives _2jelc |
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084 |
_aO31 _2jelc |
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690 | 7 |
_aTechnological Change: Choices and Consequences • Diffusion Processes _2jelc |
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650 | 7 |
_aTechnological Change: Choices and Consequences • Diffusion Processes _2jelc |
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084 |
_aO33 _2jelc |
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690 | 7 |
_aOpen Innovation _2jelc |
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650 | 7 |
_aOpen Innovation _2jelc |
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084 |
_aO36 _2jelc |
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700 | 1 |
_aMacGarvie, Megan. _933127 |
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710 | 2 | _aNational Bureau of Economic Research. | |
830 | 0 |
_aWorking Paper Series (National Bureau of Economic Research) _vno. w31565. |
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856 | 4 | 0 | _uhttps://www.nber.org/papers/w31565 |
856 |
_yAcceso en lĂnea al DOI _uhttp://dx.doi.org/10.3386/w31565 |
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942 |
_2ddc _cW-PAPER |
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999 |
_c392474 _d351036 |