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ZENODO
Dataset . 2019
License: CC BY NC SA
Data sources: Datacite
ZENODO
Dataset . 2019
License: CC BY NC SA
Data sources: Datacite
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Reading Abbey

Authors: ReadingMuseum;

Reading Abbey

Abstract

This is a digital model of Reading Abbey to show how it looked in its heyday before the dissolution by King Henry VIII in 1539. The abbey was founded in 1121 by King Henry I of England. This work by Reading Museum was part of the wider Reading Abbey Revealed project that was launched by Reading Borough Council in 2010 to develop and conserve the Abbey Quarter. A key part of the project was creating new signage and interpretation across the Quarter including the new Story of Reading Gallery at the Museum, 27 information panels to explain the history of the Abbey Quarter and interpret the Abbey Ruins installed in June 2018 and an online interactive map of the Quarter. The original model was then adapted for Sketchfab in 2019 by Luca Ottonello, funded by Arts Council England as part of Museums Partnership Reading. Source: Objaverse 1.0 / Sketchfab

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average