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Editorial
The athlete monitoring cycle: a practical guide to interpreting and applying training monitoring data
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Jun 20179457342251
Jul 2017346426401580
Aug 2017580758511434
Sep 201785988624852
Oct 2017512551621256
Nov 201718891912687
Dec 2017588592351
Jan 2018700696472
Feb 2018418379344
Mar 2018469457158
Apr 2018375376139
May 2018331332126
Jun 2018280281110
Jul 201812301228256
Aug 2018364364133
Sep 2018357357104
Oct 2018469469184
Nov 2018448448181
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Feb 2019297273201
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Apr 2019255225164
May 2019448414221
Jun 2019346310298
Jul 2019218214177
Aug 2019214214111
Sep 2019382382164
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Dec 2019351350124
Jan 2020330329140
Feb 2020326325251
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Apr 2020417415209
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Jun 2020338326198
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Dec 2020471416195
Jan 2021492448204
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Apr 2021437437230
May 2021404402154
Jun 2021507505197
Jul 2021261261111
Aug 2021266266105
Sep 2021271269104
Oct 2021352345158
Nov 2021363365188
Dec 2021385374127
Jan 2022634646182
Feb 2022375388183
Mar 2022299314139
Apr 2022298314110
May 2022349372141
Jun 2022262273112
Jul 202219519979
Aug 202218819673
Sep 202220321598
Oct 2022315323122
Nov 2022256261134
Dec 2022311315105
Jan 2023356370118
Feb 2023266272103
Mar 2023307309131
Apr 2023261267138
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Jun 2023236238125
Jul 202316316192
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Oct 2023289292135
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Jan 2024324340362
Feb 2024250255273
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Apr 2024321334207
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Jun 2024239245161
Jul 2024151162112
Aug 2024172170130
Sep 2024268268147
Oct 2024293297223
Nov 2024380384277
Dec 2024302305189
Jan 2025402409192
Feb 2025270278244
Mar 2025280281165
Apr 2025331334161
Total649325475621175