HI4PI: a full-sky H i survey based on EBHIS and GASS
Clicks: 25
ID: 283070
2016
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Emerging Content
1.8
/100
6 views
6 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Deutsche Forschungsgemeinschaft (DFG) [KA1265/5-1, KA1265/5-2, KE757/71, KE757/7-2, KE757/7-3, KE757/11-1.]; International Max Planck Research School for Astronomy and Astrophysics at the Universities of Bonn and Cologne (IMPRS Bonn/Cologne); Estonian Research Council [IUT26-2]; European Regional Development Fund [TK133]; Australian Research Council Future Fellowship [FT150100024]; NSF CAREER grant [AST-1149491]
| Reference Key |
bekhti2016hi4pi
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | N. B. Bekhti; L. Flöer; R. Keller; J. Kerp; D. Lenz; B. Winkel; J. Bailin; M. Calabretta; L. Dedes; H. Ford; B. Gibson; U. Haud; S. Janowiecki; P. Kalberla; F. J. Lockman; N. McClure-Griffiths; T. Murphy; H. Nakanishi; D. Pisano; L. Staveley-Smith |
| Journal | Unknown Journal |
| Year | 2016 |
| DOI |
10.1051/0004-6361/201629178
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.