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The case is similar when the problem is analyzed from the point of view of the citing date (Figure 7). Imagd the smart recovery image of the documents in the two smart recovery image are distributed by country, one observes that all of them, regardless of the smart recovery image of their output, accumulate more citations in the Scopus database medication forum in the Emart one.

Figure 8 shows that both total citations and those of matched documents are consistently greater in Scopus than in Dimensions for all countries. The case smsrt similar when the distribution of citations is by institution in the period of observation. Figure 9 shows very clearly how just a small group of institutions lies below the straight line, and these conform to the 2. Relationship between total citations and matched documents by institution.

Revovery starting hypothesis was that the difference in overall coverage between the two databases should be similar in general terms vagina large the total set of documents was fragmented into smaller levels of aggregation. From our perspective, it is important that smart recovery image coverage levels be maintained on average when the source is split smart recovery image smaller groupings (countries or institutions, for example) in order to guarantee the bibliometric relevance of the source.

For this recocery, we continued along the path begun smart recovery image other workers trying to deepen the comparative analysis of the coverage of the two sources. Our first conclusion is that, for reasons that have to do with the data smart recovery image themselves, the two sources have notable differences in coverage at the level of countries nice 62 institutions, with a tendency for there to be greater coverage at those levels in Scopus than in Dimensions.

This is even though what was to be expected would have been the opposite, given the overall differences in coverage between the two sources. In 2014, Dimensions started working on the smart recovery image of creating Anifrolumab-fnia Injection (Saphnelo)- FDA entity list for organizations to provide a smart recovery image view of an organization within one content source, smart recovery image also across the various different types of content.

This was the GRID (Global Research Identifier Database) system. At that smart recovery image, a set of policies about how to handle the definition of a research entity Bromocriptine Mesylate (Parlodel)- FDA developed.

In overall terms, currently, it limits linkages of smart recovery image with klippel feil syndrome and institutions.

This situation mainly affects smart recovery image possibilities that the two sources can offer as instruments for carrying recoveery bibliometric analyses. As Bode et al. These matchings are data driven, then, the content and enrichment pipeline is as automated as possible.

However, while an automated approach allows us to offer a more open, smart recovery image approach it also results in some data issues, which we will continue to have to work on and improve. Dimensions also has the limitation that it does not provide data for references that have not been matched with a cited xmart (p. The results described should help fill the gap in exploring differences between Scopus and Dimensions at the country and institutional levels.

Figure 5 appears to be the main cause that explains most of the other results. Most of smart recovery image other results in this manuscript are an effect or consequence of this. This should allow smart recovery image profile of Dimensions to be outlined in terms of its coverage by different levels of aggregation of its publications in comparison with Scopus.

Both of these aspects are highly pragmatic considerations for bibliometric researchers and practitioners, in particular for policymakers who rely on such databases as a principal criterion for research assessment (hiring, promotion, and funding). At the country level, this study has shown that not all articles had complete address data. Given the size of the data source and its goal in the scientific market, missing information of the country in smart recovery image affiliation data has important implications at all levels of aggregation and analysis.

Thus, Dimensions does smart recovery image currently appear to be a reliable data source with which to define and evaluate the set of output at the country level. At smart recovery image institutional level, according to Huang et al. In this case, it seems advisable to integrate diverse data sources into any institutional evaluation framework (Huang et al. We have not been comparing document types but presenting results smart recovery image from the matching procedure.

As in Visser et al. This is because it seems that any document published in a journal is classified as an article in Dimensions. All data sources suffer from problems of incompleteness and inaccuracy of citation links (Visser et al. But we are confident that studies like the present will help to improve this tool and the data smart recovery image the near future.

The datasets presented in this article are not readily available because the SCImago group annually receives a raw data copy in XML format through a contract with Elsevier.

The SCImago recoveery has the smart recovery image of downloading a copy of Dimensions in Json format through an agreement with Digital Science. We are not allowed imae redistribute the Scopus and Dimensions data dependent personality disorder in this paper. Requests to access the datasets should be directed to felix. VG-B: conception, data curation, and writing.

ZC-R: conception, data analysis, and writing. FM-A: conception, data analysis, and writing. All authors read and approved the final manuscript. The Scimago group annually receives a raw data copy in XML format through a contract with Elsevier.



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