Data · dataset · 2020
Essential Science Indicators highly cited paper co-citation relationships 2018.3
Listed in ScienceDB
47,294 highly cited papers in the Essential Science Indicators (ESI) were used to test the proposed visualization approach for science mapping.
Description
In our research paper, the highly cited papers were visualized using three network embedding models plus the t-SNE dimensionality reduction technique. Besides, three base maps were created with the same dataset for evaluation purposes.
All base maps used the classic OpenOrd method with different edge cutting strategies and parameters. We are publishing the dataset to allow other researchers to create a roughly equivalent experiment based on the highly-cited papers. The download date is 2018 March.
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File "RF201803_TopPaper_FULL_links.gexf" is the Gephi network file created with 47,294 highly cited paper and all 3.6 million co-citation relationships. File "RF201803_TopPaper_top15_Edges.net" is the network file with the top 15 highest weight edges per node relationships. File "RF201803_TopPaper_UT_FIELD.csv" contains all paper's UT, Field, Publish Year, Cites data.
The data downloaded from the Essential Science Indicator web site: esi.clarivate.com/
Links
Where it is published
- DOI doi.org/10.11922/sciencedb.00256 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.11922%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Geoinformatics 69%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.11922/sciencedb.00256 | 7 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3704 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (69%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |