Microsoft Station Q Sydney

Australia

1 August 2018 - 31 July 2019

Region: Global
Subject/journal group: All

The table to the right includes counts of all research outputs for Microsoft Station Q Sydney published between 1 August 2018 - 31 July 2019 which are tracked by the Nature Index.

Hover over the donut graph to view the FC output for each subject. Below, the same research outputs are grouped by subject. Click on the subject to drill-down into a list of articles organized by journal, and then by title.

Research collaboration: Microsoft Station Q Sydney is a research collaboration whose article contributions are accrued to its participating partner institutions.

Note: Articles may be assigned to more than one subject area.

AC FC
2 0.82

Outputs by subject (FC)

Subject AC FC
Life Sciences 1 0.78
Chemistry 1 0.05
Physical Sciences 1 0.05

Top articles by Altmetric score in current window

Gate-based single-shot readout of spins in silicon

Nature Nanotechnology

2019-03-11

1 August 2018 - 31 July 2019

International vs. domestic collaboration by FC

  • 32.61% Domestic
  • 67.39% International

Note: Hover over the graph to view the percentage of collaboration.

Top 10 domestic collaborators by FC (1 total)

  • Microsoft Station Q Sydney, Australia
  • Domestic institution
  1. University of New South Wales (UNSW), Australia (0.68)
    0.05
    0.64

Top 10 international collaborators by FC (4 total)

  • Microsoft Station Q Sydney, Australia
  • Foreign institution
  1. French School of Asian Studies (EFEO), France (1)
    0.78
    0.22
  2. University of Cambridge, United Kingdom (UK) (0.18)
    0.05
    0.14
  3. Hitachi Cambridge Laboratory, United Kingdom (UK) (0.14)
    0.05
    0.09
  4. Hitachi, Ltd., Japan (0.09)
    0.05
    0.05

Note: Collaboration is determined by the fractional count (FC), which is listed in parentheses.

Participating institutions

Microsoft Station Q Sydney is a research collaboration whose article contributions are accrued to its participating partner institutions below.

Return to institution outputs