Citation concept analysis (CCA) of Robert K. Merton’s book <i>Social Theory and Social Structure</i>: How often are certain concepts from the book cited in subsequent publications? is a research paper published in Quantitative Science Studies (2020). On theSindex it has a DataRank of 0.292. It has been cited 6 times.
Abstract Citations can be used in evaluative bibliometrics to measure the impact of papers. However, citation analysis can be extended by considering a multidimensional perspective on citation impact which is intended to receive more specific information about the kind of received impact. Bornmann, Wray, and Haunschild (2020) introduced the citation concept analysis (CCA) for capturing the importance and usefulness certain concepts (explained in publications) have in subsequent research. In this paper, we apply the method by investigating the impact various concepts introduced in Robert K. Merton’s book Social Theory and Social Structure has had. This book was to lay down a manifesto for sociological analysis in the immediate postwar period, and retains a major impact 70 years later. We found that the most cited concepts are “self-fulfilling” and “role” (about 20% of the citation contexts are related to one of these concepts). The concept “self-fulfilling” seems to be important especially in computer sciences and psychology. For “role,” this seems to be additionally the case for political sciences. These and further results of the study could demonstrate the high explanatory power of the CCA method.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.292
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 100% comes from its base citations and 0% from the citation network.
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.