By Kim Johan Holmberg
The objective of any learn evaluation is to guage the price or caliber of the learn compared to different study. As caliber is extremely subjective and tough to degree, citations are used as a proxy. Citations are a huge a part of scholarly communique and an important part of examine evaluate, with the idea being that hugely mentioned paintings has stimulated the paintings of many different researchers and consequently it truly is extra necessary. lately we've seen new on-line information assets being researched for this function and disruptive rules with the ability to alter learn evaluation, and maybe even technological know-how as a complete, were born. Altmetrics is the hot examine quarter that investigates the possibility of those new info resource as symptoms of the influence that study has made at the clinical neighborhood and past, and therefore potentially additionally as signs of the societal impression of analysis. This e-book will current a few of these new info assets, findings from past altmetrics examine, and the disruptive principles which may transform scholarly communication.
- Presents a number of the key rules and thoughts in past learn which were riding the evolution from bibliometrics to webometrics, and with the arrival of social media to altmetrics
- Discusses the shortcomings and pitfalls of bibliometrics in study evaluate and the possibility of altmetrics to beat a few of these shortcomings
- Presents one of the most very important facts assets of altmetrics, the aggregators, and the several stakeholders
- Reviews present learn approximately altmetrics and discusses attainable destiny trends
- Presents the way to degree and mixture altmetrics in keeping with the extent of impression or form of influence they represent
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Additional info for Altmetrics for information professionals : past, present and future
Because of this shared interest towards the same publication we can assume that there is a connection between the citing publications, and the more references they have in common, the more similar their subjects are. 4 are bibliographically coupled together because they both cite publication D. As with co-citation analysis, bibliographic coupling too can be used to map structures of science and changes in those structures (Zhao & Strotmann, 2014). It even seems possible that bibliographic coupling may be able to give the most accurate mappings of science (Boyack & Klavans, 2010).
The foundations of webometric research. As bibliometrics can be divided into relational link analyses and evaluational link analyses (Borgman & Furner, 2002), so can also webometrics be divided into the same types of link analyses. Evaluational link analyses (or link impact analyses) in webometrics would investigate different indicators that would describe the performance of the websites and the organizations they represent, while relational link analyses (or link network analyses) would investigate the structure of the online networks and the positions of the nodes that represent researched objects.
Bornmann and Leydesdorff (2014) write that “triggered by the financial crisis and by the growing competition between nations, the direct societal benefits of research have moved increasingly into the foreground of quality assessments…Basic research in particular has become subject to scrutiny, since it is more difficult to show a link between its results and beneficial applications. ” Traditionally, impact in a scientometric context meant the influence that a particular study or a researcher had on other studies and other researchers, and this was (and still is) measured by citations created by other researchers.