A talent network of Black microbiologists

被引:0
|
作者
Spriggs, Chelsey C. [1 ]
Pittman, Nikea [2 ]
Scott, Ninecia R. [3 ]
Taylor, Kishana [4 ]
Kozik, Ariangela J. [5 ]
机构
[1] Univ Michigan, Sch Med, Dept Cell & Dev Biol, Ann Arbor, MI USA
[2] Univ N Carolina, Dept Biochem & Biophys, Chapel Hill, NC 27515 USA
[3] Univ Alabama Birmingham, Dept Microbiol, Birmingham, AL 35294 USA
[4] Rutgers State Univ, Dept Earth & Environm Sci, Newark, NJ USA
[5] Univ Michigan, Sch Med, Dept Internal Med, Div Pulm & Crit Care Med, Ann Arbor, MI 48109 USA
关键词
D O I
10.1038/s41564-022-01085-0
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
引用
收藏
页码:469 / 469
页数:1
相关论文
共 50 条
  • [41] "As Long as They Have Talent": Organizational Barriers to Black Ballet
    Brown, Lauren Erin
    DANCE CHRONICLE, 2018, 41 (03) : 359 - 392
  • [42] MICROBIOLOGISTS MEET IN BRISTOL
    不详
    NATURE-NEW BIOLOGY, 1972, 240 (97): : 33 - &
  • [43] Politics, media and microbiologists
    Hugh Pennington
    Nature Reviews Microbiology, 2004, 2 : 259 - 262
  • [44] Who's Got Talent for Identifying Talent? Predictors of Equitable Gifted Identification for Black and Hispanic Students
    Peters, Scott J.
    Johnson, Angela
    Makel, Matthew C.
    Carter, James S.
    GIFTED CHILD QUARTERLY, 2024, 68 (03) : 238 - 246
  • [45] Talent Flow Analytics in Online Professional Network
    Oentaryo, Richard J.
    Lim, Ee-Peng
    Ashok, Xavier Jayaraj Siddarth
    Prasetyo, Philips Kokoh
    Ong, Koon Han
    Lau, Zi Quan
    DATA SCIENCE AND ENGINEERING, 2018, 3 (03) : 199 - 220
  • [46] The Development of Talent in Sports: A Dynamic Network Approach
    Den Hartigh, Ruud J. R.
    Hill, Yannick
    Van Geert, Paul L. C.
    COMPLEXITY, 2018,
  • [47] Why microbiologists are not barophiles
    Boden, Rich
    FEMS MICROBIOLOGY LETTERS, 2017, 364 (05)
  • [48] STATUS OF WOMEN MICROBIOLOGISTS
    KASHKET, ER
    ROBBINS, ML
    LEIVE, L
    HUANG, AS
    SCIENCE, 1974, 183 (4124) : 488 - 494
  • [49] THE FATE OF TEDDINGTONS MICROBIOLOGISTS
    不详
    CHEMISTRY & INDUSTRY, 1958, (49) : 1603 - 1603
  • [50] Machine learning for microbiologists
    Francesco Asnicar
    Andrew Maltez Thomas
    Andrea Passerini
    Levi Waldron
    Nicola Segata
    Nature Reviews Microbiology, 2024, 22 : 191 - 205