273,227 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Data for: Author Ranking Evaluation at Scale
No full textThis data consists of two test data sets of researchers that have (1) received one or more prestigious prizes for the long-lasting and high impact contribution to their fields (596 data entries) and (2) author names of ACM fellows (1000 data entries).Each author in the data sets is matched to the corresponding ACM author profileID and multiple Microsoft Academic Graph author entity IDs (name disambiguated). It also includes citation counts, publication counts, download counts from various sources (ACM Digital Library, Google Scholar, Microsoft Academic).THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dung beetle community composition data
No full textData was collected using either dung-baited pitfall traps or flight interception traps. Each row represents one trap, with the author/study information, name of study site, sampling period, trap type and habitat type. Dung beetle species and their abundances are listed. See metadata.csv for more details
Data Set of Psychiatry Journal Author Guidelines for Case Reports
No full textData set for psychiatry journal author guidelines for case report
Data from: Data sharing in sociology journals
No full textData sharing is key for replication and re-use in empirical research. Scientific journals can play a central role by establishing data policies and providing technologies. In this study factors of influence for data sharing are analyzed by investigating journal data policies and author behavior in sociology. The websites of 140 journals from sociology were consulted to check their data policy. The results are compared with similar studies from political science and economics. For five selected journals with a broad variety all articles from two years are examined to see if authors really cite and share their data, and which factors are related to this.Data sharing is key for replication and re-use in empirical research. Scientific journals can play a central role by establishing data policies and providing technologies. In this study factors of influence for data sharing are analyzed by investigating journal data policies and author behavior in sociology. The websites of 140 journals from sociology were consulted to check their data policy. The results are compared with similar studies from political science and economics. For five selected journals with a broad variety all articles from two years are examined to see if authors really cite and share their data, and which factors are related to this
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Data for: Author Ranking Evaluation at Scale
No full textThis data consists of two test data sets of researchers that have (1) received one or more prestigious prizes for the long-lasting and high impact contribution to their fields (596 data entries) and (2) author names of ACM fellows (1000 data entries).Each author in the data sets is matched to the corresponding ACM author profileID and multiple Microsoft Academic Graph author entity IDs (name disambiguated). It also includes citation counts, publication counts, download counts from various sources (ACM Digital Library, Google Scholar, Microsoft Academic)
Replication Data for PhD Thesis Chapter 4: Bird species richness and abundances comparable across cashew plantations and forests and their relation to landscape features measurable with acoustic indices
No full textThe data files for the PhD Thesis Chapter 4 with lead author Dr. Anushka Rege: Bird species richness and abundances comparable across cashew plantations and forests and their relation to landscape features measurable with acoustic indices
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