Mendeley | Further Information

{"title"=>"Locally downscaled and spatially customizable climate data for historical and future periods for North America", "type"=>"journal", "authors"=>[{"first_name"=>"Tongli", "last_name"=>"Wang", "scopus_author_id"=>"56026541800"}, {"first_name"=>"Andreas", "last_name"=>"Hamann", "scopus_author_id"=>"7102254283"}, {"first_name"=>"Dave", "last_name"=>"Spittlehouse", "scopus_author_id"=>"6603054220"}, {"first_name"=>"Carlos", "last_name"=>"Carroll", "scopus_author_id"=>"7101866082"}], "year"=>2016, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-84974849166", "pui"=>"610786592", "doi"=>"10.1371/journal.pone.0156720", "isbn"=>"1932-6203", "sgr"=>"84974849166", "pmid"=>"27275583"}, "id"=>"5a6c5bff-920e-3978-8203-cc16475ecbf9", "abstract"=>"Large volumes of gridded climate data have become available in recent years including interpolated historical data from weather stations and future predictions from general circulation models. These datasets, however, are at various spatial resolutions that need to be converted to scales meaningful for applications such as climate change risk and impact assessments or sample-based ecological research. Extracting climate data for specific locations from large datasets is not a trivial task and typically requires advanced GIS and data management skills. In this study, we developed a software package, ClimateNA, that facilitates this task and provides a user-friendly interface suitable for resource managers and decision makers as well as scientists. The software locally downscales historical and future monthly climate data layers into scale-free point estimates of climate values for the entire North American continent. The software also calculates a large number of biologically relevant climate variables that are usually derived from daily weather data. ClimateNA covers 1) 104 years of historical data (1901–2014) in monthly, annual, decadal and 30-year time steps; 2) three paleoclimatic periods (Last Glacial Maximum, Mid Holocene and Last Millennium); 3) three future periods (2020s, 2050s and 2080s); and 4) annual time-series of model projections for 2011–2100. Multiple general circulation models (GCMs) were included for both paleo and future periods, and two representative concentration pathways (RCP4.5 and 8.5) were chosen for future climate data.", "link"=>"http://www.mendeley.com/research/locally-downscaled-spatially-customizable-climate-data-historical-future-periods-north-america", "reader_count"=>111, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Professor > Associate Professor"=>3, "Researcher"=>28, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>31, "Student > Postgraduate"=>3, "Student > Master"=>25, "Other"=>4, "Student > Bachelor"=>3, "Lecturer"=>5, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Professor > Associate Professor"=>3, "Researcher"=>28, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>31, "Student > Postgraduate"=>3, "Student > Master"=>25, "Other"=>4, "Student > Bachelor"=>3, "Lecturer"=>5, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>6, "Engineering"=>4, "Environmental Science"=>47, "Biochemistry, Genetics and Molecular Biology"=>4, "Mathematics"=>1, "Agricultural and Biological Sciences"=>36, "Social Sciences"=>2, "Computer Science"=>1, "Earth and Planetary Sciences"=>10}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>4}, "Social Sciences"=>{"Social Sciences"=>2}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>10}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>36}, "Computer Science"=>{"Computer Science"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>4}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>6}, "Environmental Science"=>{"Environmental Science"=>47}}, "reader_count_by_country"=>{"Canada"=>1, "United States"=>2, "United Kingdom"=>2, "Spain"=>1}, "group_count"=>3}

CrossRef

• http://doi.org/10.3390/w11020301
• http://doi.org/10.1002/ajb2.1451
• http://doi.org/10.1111/eva.12525
• http://doi.org/10.1016/j.jenvman.2019.05.036
• http://doi.org/10.1139/cjz-2019-0212
• http://doi.org/10.1111/1365-2745.13338
• http://doi.org/10.1111/jbi.13641
• http://doi.org/10.1021/acs.est.8b05718
• http://doi.org/10.1016/j.jhydrol.2017.12.056
• http://doi.org/10.1139/cjfr-2018-0428
• http://doi.org/10.1093/gbe/evz220
• http://doi.org/10.1111/evo.14041
• http://doi.org/10.1002/ajb2.1042
• http://doi.org/10.1016/j.foreco.2020.118410
• http://doi.org/10.1111/gcb.13645
• http://doi.org/10.5558/tfc2017-021
• http://doi.org/10.1111/conl.12712
• http://doi.org/10.1093/jofore/fvz064
• http://doi.org/10.1038/sdata.2018.299
• http://doi.org/10.1007/s00484-019-01679-0
• http://doi.org/10.1111/gcb.13589
• http://doi.org/10.1371/journal.pone.0194684
• http://doi.org/10.1007/s10530-019-02045-2
• http://doi.org/10.1002/ecs2.2912
• http://doi.org/10.1038/s41598-018-27721-6
• http://doi.org/10.1038/s41598-020-66277-2
• http://doi.org/10.7717/peerj.5221
• http://doi.org/10.15302/J-FASE-2017172
• http://doi.org/10.1016/j.ttbdis.2018.01.018
• http://doi.org/10.1038/s41467-018-05132-5
• http://doi.org/10.1111/ddi.12862
• http://doi.org/10.3390/f10050447
• http://doi.org/10.2139/ssrn.2979349
• http://doi.org/10.1007/s00334-019-00743-4
• http://doi.org/10.1002/ecs2.2453
• http://doi.org/10.1111/cjag.12207
• http://doi.org/10.1111/sum.12580
• http://doi.org/10.1007/s10745-020-00138-4
• http://doi.org/10.1002/edn3.26
• http://doi.org/10.1029/2019JG005294
• http://doi.org/10.1038/s41467-018-07701-0
• http://doi.org/10.1002/lno.11448
• http://doi.org/10.1111/icad.12427
• http://doi.org/10.1002/ece3.3796
• http://doi.org/10.1002/ece3.5364
• http://doi.org/10.1093/aobpla/plaa009
• http://doi.org/10.1111/gcb.13679
• http://doi.org/10.1038/s41477-019-0495-8
• http://doi.org/10.1038/sdata.2018.16
• http://doi.org/10.3390/f10020196
• http://doi.org/10.1111/nph.15535
• http://doi.org/10.1111/gcb.15009
• http://doi.org/10.1088/1748-9326/ab215f
• http://doi.org/10.1111/csp2.30
• http://doi.org/10.1111/gcb.14373
• http://doi.org/10.1111/gcb.13663
• http://doi.org/10.1029/2018JG004687
• http://doi.org/10.1002/ecs2.2985
• http://doi.org/10.1016/j.foreco.2020.117944
• http://doi.org/10.1002/eap.1751
• http://doi.org/10.1016/j.foreco.2018.10.037
• http://doi.org/10.1111/cag.12432
• http://doi.org/10.1111/gcb.14556
• http://doi.org/10.1073/pnas.1814782116
• http://doi.org/10.1139/cjps-2018-0251
• http://doi.org/10.1111/evo.13959
• http://doi.org/10.1002/ece3.5200
• http://doi.org/10.1086/699656
• http://doi.org/10.1038/s41467-018-07800-y
• http://doi.org/10.1016/j.foreco.2018.10.046
• http://doi.org/10.1002/gdj3.67
• http://doi.org/10.1111/1440-1703.12068
• http://doi.org/10.3390/f9080489
• http://doi.org/10.1016/j.foreco.2018.08.036
• http://doi.org/10.1093/jhered/esz045
• http://doi.org/10.1029/2018WR023468
• http://doi.org/10.1002/ece3.5383
• http://doi.org/10.1016/j.softx.2017.11.004
• http://doi.org/10.3390/hydrology4010005
• http://doi.org/10.1177/0959683619862041
• http://doi.org/10.1111/ddi.13078
• http://doi.org/10.1139/AS-2016-0057
• http://doi.org/10.1002/2017GL074376
• http://doi.org/10.1002/ecs2.2279
• http://doi.org/10.1111/gcb.14538
• http://doi.org/10.1016/j.dib.2017.12.052
• http://doi.org/10.1088/1748-9326/aab791
• http://doi.org/10.3389/fpls.2020.00208
• http://doi.org/10.1038/s41467-018-04039-5
• http://doi.org/10.1038/s41598-018-26681-1
• http://doi.org/10.1080/07038992.2020.1769470
• http://doi.org/10.1111/ecog.03378
• http://doi.org/10.1038/s41559-019-0970-7
• http://doi.org/10.1038/s41598-020-65755-x
• http://doi.org/10.1038/sdata.2017.191
• http://doi.org/10.3390/land6010019
• http://doi.org/10.1002/ajb2.1022
• http://doi.org/10.1088/1748-9326/aaa5b8
• http://doi.org/10.1371/journal.pone.0232537
• http://doi.org/10.1371/journal.pone.0217071
• http://doi.org/10.1016/j.foreco.2017.02.008
• http://doi.org/10.1111/gcb.15225
• http://doi.org/10.1007/s10980-017-0487-x
• http://doi.org/10.1002/eco.2209
• http://doi.org/10.1007/s11056-017-9620-6
• http://doi.org/10.3390/rs12152360
• http://doi.org/10.1111/ddi.12693
• http://doi.org/10.1002/ece3.5975
• http://doi.org/10.1016/j.foreco.2017.09.072
• http://doi.org/10.3389/fpls.2019.00643
• http://doi.org/10.1016/j.foreco.2017.12.036
• http://doi.org/10.1007/s10980-020-01011-x
• http://doi.org/10.1016/j.foreco.2018.08.026
• http://doi.org/10.1007/s40808-018-0477-2
• http://doi.org/10.1080/02723646.2019.1599482
• http://doi.org/10.1002/ecs2.2946
• http://doi.org/10.1111/csp2.20
• http://doi.org/10.1007/s10113-020-01602-z
• http://doi.org/10.1139/cjfr-2018-0268
• http://doi.org/10.1007/s10841-019-00151-z
• http://doi.org/10.3390/f9010001
• http://doi.org/10.3389/fpls.2018.01693
• http://doi.org/10.3390/f9040165
• http://doi.org/10.1111/eva.12773
• http://doi.org/10.3390/f11040482
• http://doi.org/10.1002/aps3.11276
• http://doi.org/10.1186/s42408-018-0012-x
• http://doi.org/10.1111/jvs.12694
• http://doi.org/10.1111/geb.12829
• http://doi.org/10.1007/s10584-020-02743-0
• http://doi.org/10.3390/f9030138
• http://doi.org/10.3389/fenvs.2018.00077
• http://doi.org/10.1080/10095020.2019.1613776
• http://doi.org/10.1111/csp2.50
• http://doi.org/10.1073/pnas.1900734116
• http://doi.org/10.1111/jbi.13719
• http://doi.org/10.1111/1462-2920.14061
• http://doi.org/10.1111/gcb.14888
• http://doi.org/10.1111/gcb.14338
• http://doi.org/10.3390/f10070584
• http://doi.org/10.1111/csp2.242
• http://doi.org/10.1898/NWN18-11
• http://doi.org/10.1111/1365-2745.12826
• http://doi.org/10.1093/jmammal/gyz057
• http://doi.org/10.1016/j.ecolmodel.2018.06.008
• http://doi.org/10.3390/atmos10020093
• http://doi.org/10.1111/gcb.15170
• http://doi.org/10.1002/met.1796
• http://doi.org/10.1111/ecog.04576
• http://doi.org/10.1016/j.scitotenv.2020.138994
• http://doi.org/10.1111/csp2.21
• http://doi.org/10.1111/fwb.13569
• http://doi.org/10.1088/1748-9326/aabf28
• http://doi.org/10.3390/f10121085
• http://doi.org/10.1002/ece3.2550
• http://doi.org/10.3389/ffgc.2019.00069
• http://doi.org/10.1029/2019GB006325
• http://doi.org/10.1111/gcb.13952
• http://doi.org/10.1007/s00484-020-01877-1
• http://doi.org/10.3390/su11113043
• http://doi.org/10.1002/eap.1671
• http://doi.org/10.1002/eap.1804
• http://doi.org/10.1002/ecs2.2651
• http://doi.org/10.1080/07011784.2019.1640138
• http://doi.org/10.1002/ecs2.1902
• http://doi.org/10.5194/tc-13-1767-2019
• http://doi.org/10.1111/ddi.13036
• http://doi.org/10.3389/fpls.2020.00847
• http://doi.org/10.1002/joc.5537
• http://doi.org/10.3390/plants8070199
• http://doi.org/10.1186/s13021-020-00143-6
• http://doi.org/10.1111/gcb.13653
• http://doi.org/10.1111/avsc.12485
• http://doi.org/10.1111/jbi.13884
• http://doi.org/10.1111/gcb.14447
• http://doi.org/10.1086/702312
• http://doi.org/10.1111/mec.15289
• http://doi.org/10.1080/07011784.2019.1640137
• http://doi.org/10.1111/eva.12845
• http://doi.org/10.1093/jmammal/gyaa041
• http://doi.org/10.3390/f11040452
• http://doi.org/10.3390/d11060087
• http://doi.org/10.1016/j.foreco.2017.02.023
• http://doi.org/10.3390/land8070108
• http://doi.org/10.3389/ffgc.2020.00088
• http://doi.org/10.1111/ecog.02880
• http://doi.org/10.1002/evl3.91
• http://doi.org/10.1038/s41558-019-0454-4
• http://doi.org/10.1002/aps3.1230
• http://doi.org/10.1139/cjfr-2019-0404
• http://doi.org/10.1007/s00468-018-1668-1
• http://doi.org/10.1029/2017JG004319
• http://doi.org/10.1016/j.foreco.2020.118084
• http://doi.org/10.1002/ecs2.2011
• http://doi.org/10.1111/eva.12871
• http://doi.org/10.3120/0024-9637-66.4.130

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• {"month"=>"6", "year"=>"2017", "pdf_views"=>"34", "xml_views"=>"4", "html_views"=>"173"}
• {"month"=>"7", "year"=>"2017", "pdf_views"=>"37", "xml_views"=>"2", "html_views"=>"157"}
• {"month"=>"8", "year"=>"2017", "pdf_views"=>"40", "xml_views"=>"2", "html_views"=>"164"}
• {"month"=>"9", "year"=>"2017", "pdf_views"=>"43", "xml_views"=>"1", "html_views"=>"142"}
• {"month"=>"10", "year"=>"2017", "pdf_views"=>"39", "xml_views"=>"1", "html_views"=>"179"}
• {"month"=>"11", "year"=>"2017", "pdf_views"=>"39", "xml_views"=>"0", "html_views"=>"275"}
• {"month"=>"12", "year"=>"2017", "pdf_views"=>"36", "xml_views"=>"2", "html_views"=>"215"}
• {"month"=>"1", "year"=>"2018", "pdf_views"=>"39", "xml_views"=>"0", "html_views"=>"149"}
• {"month"=>"2", "year"=>"2018", "pdf_views"=>"51", "xml_views"=>"0", "html_views"=>"129"}
• {"month"=>"3", "year"=>"2018", "pdf_views"=>"57", "xml_views"=>"3", "html_views"=>"150"}
• {"month"=>"4", "year"=>"2018", "pdf_views"=>"39", "xml_views"=>"0", "html_views"=>"115"}
• {"month"=>"5", "year"=>"2018", "pdf_views"=>"43", "xml_views"=>"0", "html_views"=>"98"}
• {"month"=>"6", "year"=>"2018", "pdf_views"=>"43", "xml_views"=>"5", "html_views"=>"87"}
• {"month"=>"7", "year"=>"2018", "pdf_views"=>"50", "xml_views"=>"4", "html_views"=>"108"}
• {"month"=>"8", "year"=>"2018", "pdf_views"=>"34", "xml_views"=>"1", "html_views"=>"91"}
• {"month"=>"9", "year"=>"2018", "pdf_views"=>"39", "xml_views"=>"1", "html_views"=>"112"}
• {"month"=>"10", "year"=>"2018", "pdf_views"=>"84", "xml_views"=>"6", "html_views"=>"195"}
• {"month"=>"11", "year"=>"2018", "pdf_views"=>"43", "xml_views"=>"1", "html_views"=>"131"}
• {"month"=>"12", "year"=>"2018", "pdf_views"=>"36", "xml_views"=>"0", "html_views"=>"96"}
• {"month"=>"1", "year"=>"2019", "pdf_views"=>"43", "xml_views"=>"0", "html_views"=>"147"}
• {"month"=>"2", "year"=>"2019", "pdf_views"=>"53", "xml_views"=>"0", "html_views"=>"136"}
• {"month"=>"3", "year"=>"2019", "pdf_views"=>"49", "xml_views"=>"0", "html_views"=>"140"}
• {"month"=>"4", "year"=>"2019", "pdf_views"=>"61", "xml_views"=>"0", "html_views"=>"146"}
• {"month"=>"5", "year"=>"2019", "pdf_views"=>"47", "xml_views"=>"0", "html_views"=>"171"}
• {"month"=>"6", "year"=>"2019", "pdf_views"=>"69", "xml_views"=>"0", "html_views"=>"147"}
• {"month"=>"7", "year"=>"2019", "pdf_views"=>"33", "xml_views"=>"2", "html_views"=>"124"}
• {"month"=>"8", "year"=>"2019", "pdf_views"=>"47", "xml_views"=>"0", "html_views"=>"118"}
• {"month"=>"9", "year"=>"2019", "pdf_views"=>"47", "xml_views"=>"1", "html_views"=>"150"}
• {"month"=>"10", "year"=>"2019", "pdf_views"=>"80", "xml_views"=>"0", "html_views"=>"171"}
• {"month"=>"11", "year"=>"2019", "pdf_views"=>"48", "xml_views"=>"1", "html_views"=>"165"}
• {"month"=>"12", "year"=>"2019", "pdf_views"=>"79", "xml_views"=>"3", "html_views"=>"152"}
• {"month"=>"1", "year"=>"2020", "pdf_views"=>"64", "xml_views"=>"0", "html_views"=>"205"}
• {"month"=>"2", "year"=>"2020", "pdf_views"=>"55", "xml_views"=>"1", "html_views"=>"174"}
• {"month"=>"3", "year"=>"2020", "pdf_views"=>"61", "xml_views"=>"2", "html_views"=>"163"}
• {"month"=>"4", "year"=>"2020", "pdf_views"=>"122", "xml_views"=>"1", "html_views"=>"167"}
• {"month"=>"5", "year"=>"2020", "pdf_views"=>"145", "xml_views"=>"2", "html_views"=>"163"}
• {"month"=>"6", "year"=>"2020", "pdf_views"=>"55", "xml_views"=>"1", "html_views"=>"100"}
• {"month"=>"7", "year"=>"2020", "pdf_views"=>"61", "xml_views"=>"0", "html_views"=>"125"}
• {"month"=>"8", "year"=>"2020", "pdf_views"=>"25", "xml_views"=>"0", "html_views"=>"35"}

PMC Usage Stats

• {"unique-ip"=>"10", "full-text"=>"13", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"6"}
• {"unique-ip"=>"13", "full-text"=>"43", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"7"}
• {"unique-ip"=>"19", "full-text"=>"18", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"7", "cited-by"=>"0", "year"=>"2016", "month"=>"8"}
• {"unique-ip"=>"19", "full-text"=>"19", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"9"}
• {"unique-ip"=>"20", "full-text"=>"20", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"10"}
• {"unique-ip"=>"10", "full-text"=>"12", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"7", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2016", "month"=>"11"}
• {"unique-ip"=>"14", "full-text"=>"16", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"12"}
• {"unique-ip"=>"24", "full-text"=>"22", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"1"}
• {"unique-ip"=>"38", "full-text"=>"40", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"2"}
• {"unique-ip"=>"54", "full-text"=>"57", "pdf"=>"8", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"3"}
• {"unique-ip"=>"34", "full-text"=>"35", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"4"}
• {"unique-ip"=>"47", "full-text"=>"53", "pdf"=>"8", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2017", "month"=>"5"}
• {"unique-ip"=>"47", "full-text"=>"56", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"6"}
• {"unique-ip"=>"27", "full-text"=>"31", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"7"}
• {"unique-ip"=>"48", "full-text"=>"50", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"8"}
• {"unique-ip"=>"81", "full-text"=>"86", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"9"}
• {"unique-ip"=>"57", "full-text"=>"60", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"10"}
• {"unique-ip"=>"52", "full-text"=>"71", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"11"}
• {"unique-ip"=>"42", "full-text"=>"43", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2017", "month"=>"12"}
• {"unique-ip"=>"60", "full-text"=>"63", "pdf"=>"13", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"8", "cited-by"=>"0", "year"=>"2018", "month"=>"1"}
• {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"2"}
• {"unique-ip"=>"50", "full-text"=>"43", "pdf"=>"16", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"3"}
• {"unique-ip"=>"22", "full-text"=>"22", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2019", "month"=>"1"}
• {"unique-ip"=>"20", "full-text"=>"21", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
• {"unique-ip"=>"39", "full-text"=>"40", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"7", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
• {"unique-ip"=>"41", "full-text"=>"48", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"4"}
• {"unique-ip"=>"25", "full-text"=>"25", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"5"}
• {"unique-ip"=>"37", "full-text"=>"44", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"6"}
• {"unique-ip"=>"32", "full-text"=>"28", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"10", "cited-by"=>"0", "year"=>"2018", "month"=>"7"}
• {"unique-ip"=>"38", "full-text"=>"37", "pdf"=>"14", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"1", "year"=>"2018", "month"=>"10"}
• {"unique-ip"=>"31", "full-text"=>"33", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
• {"unique-ip"=>"38", "full-text"=>"43", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
• {"unique-ip"=>"32", "full-text"=>"33", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"8", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
• {"unique-ip"=>"19", "full-text"=>"21", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
• {"unique-ip"=>"27", "full-text"=>"23", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
• {"unique-ip"=>"35", "full-text"=>"25", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"7", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}
• {"unique-ip"=>"30", "full-text"=>"27", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
• {"unique-ip"=>"30", "full-text"=>"32", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
• {"unique-ip"=>"23", "full-text"=>"27", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2019", "month"=>"10"}
• {"unique-ip"=>"18", "full-text"=>"18", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"12"}
• {"unique-ip"=>"71", "full-text"=>"78", "pdf"=>"18", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"5", "cited-by"=>"0", "year"=>"2020", "month"=>"2"}
• {"unique-ip"=>"44", "full-text"=>"49", "pdf"=>"9", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"3"}
• {"unique-ip"=>"50", "full-text"=>"60", "pdf"=>"12", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"4"}
• {"unique-ip"=>"51", "full-text"=>"60", "pdf"=>"8", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2020", "month"=>"5"}
• {"unique-ip"=>"38", "full-text"=>"42", "pdf"=>"11", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"6"}

F1000Prime