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In this tutorial, we will introduce QUT In4M. It is a new platform wherein we offer a new citation intensity measure to track the influence of scholarship on industry and innovation and later rank it.
The new metric is referred to as the “International Innovation and Industry influence Mapping metric (hence the name In4M spelled as Inform) and it is based on the knowledge of the scholarly works cited in the global patent literature and the signaled value of the citing patents as perceived by the patent applicants.
In4M metric is a granular metric that can be used at multilevels. Here, we show its application at:
The national level, wherein we evaluated 51 Australian research institutions for their influence on industry and
At the global level wherein we assessed 200 leading research institutions across the world for their influence on industry and innovation, and later normalized the In4M metric by either research disciplines or Technology fields of use to provide institutional rankings.
In this version, we show the institutional rankings based on the normalized In4M metric by research disciplines as featured in Nature, August 2017 issue and in an upcoming release, we hope to show you rankings based on normalized In4M metric by technology fields of use.
To view the institutions within each dataset, we provide a table or a card view. And for multiple institutions comparison, you can choose those institutions you want to compare and simply click on “Compare selected” or go to the analysis tab. An alternative way is to view the presets lists where you can choose the combination of institutions that is more relevant to you to compare. Alternatively, you can also remove (show the action of removing) or add other institutions to compare (add iCahn Medical school).
The comparison here is by research disciplines. Within each of the 10 broad research disciplines categories used, institutions can be compared relative to each other within a dataset. In the next release, we will also show comparisons based on 35 technology fields of use.
Now, if you are after a particular institution influence report, you can zoom further on that institutional data in the dossier (sounds like Dossyeh) view. Here, you can find the Lens Rank of that institution, other published rankings, wherever available, and the actual results such as citing patent families (where in only one patent per family was counted and self citations were removed), 3rd party citing patents expanded by patent family, in addition to other type of relevant data.
You can also view the collection of patents that cite the scholarship of Icahn school of Medicine, view its profile information or access the draft of its patent portfolio.
Below, you can read the report generated based on the scholarly data available to us, browse the top legal entities that are influenced by this institution’s scholarship. For example, here are 478 Isis Pharmaceuticals patents that cite icahn school of medicine scholarship, you can view the patent collection in the Lens, edit or export it to your own work space or share it with others.
Moreover, you can view the cited articles over time and zoom on their corresponding citing patents to view the collections in the Lens.
You can view the institutional information based on research disciplines, technology fields of use. And these are the 35 technology classes that were built according to the International patent classification codes in the 3rd party citing patents that were expanded by family, or alternatively, you can view top commercial applicants and sort based on various attributes.
Besides its granularity, the In4M metric can be improved. In the current version of the In4M metric (V2017.1), the list of scholarly data we examined was from 1980 to 2015 and that was sourced from a single commercial provider. Therefore, we invite all institutions to contribute more comprehensive and optimized list of authored works to improve on their influence mapping and the resulting In4M rankings.
In this example, iCahn school of Medicine has recently shared its list of optimized scholarly works allowing the Lens to render that information publicly available and work together to adjust or improve its own influence mapping and ranking.
For more details on this study, please see our upcoming publication in Nature Biotechnology, January 2018 issue. For now, we hope this demo was useful to you,
Please make sure you are registered, logged in to save your collections, for any question, please contact us at firstname.lastname@example.org or Feedback@support.lens.org