
What's New pollywog.js — A standalone JavaScript port of pollywog's core library. Build, manipulate, and read/write .lfcalc files directly in the browser or Node.js. UMD module that works as a tag, CommonJS require(), or ES module adapter. Included Core classes: CalcSet, Number, Category, Variable, Filter, If, IfRow Helpers: Sum, Product, Average, WeightedSum, WeightedAverage, Normalize, Scale, CategoryFromThresholds Async .lfcalc I/O with browser CompressionStream and Node.js zlib support Cross-language roundtrip compatibility (JS-written files readable by Python and vice versa) Usage const cs = new Pollywog.CalcSet([ new Pollywog.Variable("Au", [""]), new Pollywog.Number("result", "[Au] * 2"), ]); cs.downloadLfcalc("my_calcset.lfcalc"); Full Changelog: https://github.com/endarthur/pollywog/compare/v0.2.1...v0.2.2
If you use this software, please cite it as below.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
