Measuring field-normalized impact of papers on specific societal groups: An altmetrics study based on Mendeley Data is a research paper published in Research Evaluation (2017). On theSindex it has a DataRank of 0.416. It has been cited 15 times.
Bibliometrics is successful in measuring impact, because the target is\nclearly defined: the publishing scientist who is still active and working.\nThus, citations are a target-oriented metric which measures impact on science.\nIn contrast, societal impact measurements based on altmetrics are as a rule\nintended to measure impact in a broad sense on all areas of society (e.g.\nscience, culture, politics, and economics). This tendency is especially\nreflected in the efforts to design composite indicators (e.g. the Altmetric\nattention score). We deem appropriate that not only the impact measurement\nusing citations is target-oriented (citations measure the impact of papers on\nscientists), but also the measurement of impact using altmetrics. Impact\nmeasurements only make sense, if the target group - the recipient of academic\npapers - is clearly defined. Thus, we extend in this study the field-normalized\nreader impact indicator proposed by us in an earlier study, which is based on\nMendeley data (the mean normalized reader score, MNRS), to a target-oriented\nfield-normalized impact indicator (e.g., MNRS_ED measures reader impact on the\nsector of educational donation, i.e., teaching). This indicator can show - as\ndemonstrated in empirical examples - the ability of journals, countries, and\nacademic institutions to publish papers which are below or above the average\nimpact of papers on a specific sector in society (e.g., the educational or\nteaching sector). For example, the method allows to measure the impact of\nscientific papers on students - controlling for the field in which the papers\nhave been published and their publication year.\n
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.416
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.