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51.
Sumayya Ahmed 《Archival Science》2018,18(3):225-240
The turn to oral history in Qatar and the Arabian (also known as Persian) Gulf is not a rejection of traditional archival authority as has been the case in other parts of the world. In the Gulf, oral history has been embraced out of a desire to fill the silences of the largely unwritten record attributable to previous low levels of literacy and strong oral traditions in the region. Today, oral history is seen as the best method to capture details about traditional ways of life during the pre-oil era. After discussing archival concerns about the evidentiary nature of oral histories, this paper explores how it has come to be a crucial documentation tool in the Gulf, adapted to the specific nation building and cultural heritage priorities of the region. 相似文献
52.
Altmetrics from Altmetric.com are widely used by publishers and researchers to give earlier evidence of attention than citation counts. This article assesses whether Altmetric.com scores are reliable early indicators of likely future impact and whether they may also reflect non-scholarly impacts. A preliminary factor analysis suggests that the main altmetric indicator of scholarly impact is Mendeley reader counts, with weaker news, informational and social network discussion/promotion dimensions in some fields. Based on a regression analysis of Altmetric.com data from November 2015 and Scopus citation counts from October 2017 for articles in 30 narrow fields, only Mendeley reader counts are consistent predictors of future citation impact. Most other Altmetric.com scores can help predict future impact in some fields. Overall, the results confirm that early Altmetric.com scores can predict later citation counts, although less well than journal impact factors, and the optimal strategy is to consider both Altmetric.com scores and journal impact factors. Altmetric.com scores can also reflect dimensions of non-scholarly impact in some fields. 相似文献
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Mike Thelwall 《Journal of Informetrics》2018,12(2):430-435
Dimensions is a partly free scholarly database launched by Digital Science in January 2018. Dimensions includes journal articles and citation counts, making it a potential new source of impact data. This article explores the value of Dimensions from an impact assessment perspective with an examination of Food Science research 2008–2018 and a random sample of 10,000 Scopus articles from 2012. The results include high correlations between citation counts from Scopus and Dimensions (0.96 by narrow field in 2012) as well as similar average counts. Almost all Scopus articles with DOIs were found in Dimensions (97% in 2012). Thus, the scholarly database component of Dimensions seems to be a plausible alternative to Scopus and the Web of Science for general citation analyses and for citation data in support of some types of research evaluations. 相似文献
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Victor Davis Hanson 《Academic Questions》2017,30(4):456-459
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