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{"title"=>"HemI: A toolkit for illustrating heatmaps", "type"=>"journal", "authors"=>[{"first_name"=>"Wankun", "last_name"=>"Deng", "scopus_author_id"=>"55813358100"}, {"first_name"=>"Yongbo", "last_name"=>"Wang", "scopus_author_id"=>"54394438100"}, {"first_name"=>"Zexian", "last_name"=>"Liu", "scopus_author_id"=>"55632837400"}, {"first_name"=>"Han", "last_name"=>"Cheng", "scopus_author_id"=>"55378479600"}, {"first_name"=>"Yu", "last_name"=>"Xue", "scopus_author_id"=>"7402270422"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-84910655736", "pui"=>"600436066", "doi"=>"10.1371/journal.pone.0111988", "isbn"=>"1932-6203", "sgr"=>"84910655736", "pmid"=>"25372567"}, "id"=>"a9206794-be58-31fc-9baa-c629d6d13f01", "abstract"=>"Recent high-throughput techniques have generated a flood of biological data in all aspects. The transformation and visualization of multi-dimensional and numerical gene or protein expression data in a single heatmap can provide a concise but comprehensive presentation of molecular dynamics under different conditions. In this work, we developed an easy-to-use tool named HemI (Heat map Illustrator), which can visualize either gene or protein expression data in heatmaps. Additionally, the heatmaps can be recolored, rescaled or rotated in a customized manner. In addition, HemI provides multiple clustering strategies for analyzing the data. Publication-quality figures can be exported directly. We propose that HemI can be a useful toolkit for conveniently visualizing and manipulating heatmaps. The stand-alone packages of HemI were implemented in Java and can be accessed at http://hemi.biocuckoo.org/down.php.", "link"=>"http://www.mendeley.com/research/hemi-toolkit-illustrating-heatmaps", "reader_count"=>59, "reader_count_by_academic_status"=>{"Unspecified"=>4, "Professor > Associate Professor"=>3, "Researcher"=>13, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>17, "Student > Postgraduate"=>2, "Student > Master"=>13, "Other"=>4, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>4, "Professor > Associate Professor"=>3, "Researcher"=>13, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>17, "Student > Postgraduate"=>2, "Student > Master"=>13, "Other"=>4, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Engineering"=>2, "Environmental Science"=>1, "Biochemistry, Genetics and Molecular Biology"=>12, "Agricultural and Biological Sciences"=>31, "Medicine and Dentistry"=>2, "Neuroscience"=>1, "Sports and Recreations"=>1, "Veterinary Science and Veterinary Medicine"=>1, "Physics and Astronomy"=>1, "Computer Science"=>3}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>2}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>2}, "Neuroscience"=>{"Neuroscience"=>1}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>31}, "Computer Science"=>{"Computer Science"=>3}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>12}, "Unspecified"=>{"Unspecified"=>4}, "Environmental Science"=>{"Environmental Science"=>1}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>1}}, "reader_count_by_country"=>{"Canada"=>1, "Argentina"=>1, "China"=>4, "South Africa"=>2, "Spain"=>1}, "group_count"=>1}

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CrossRef

• http://doi.org/10.1002/mbo3.396
• http://doi.org/10.1080/09168451.2018.1536513
• http://doi.org/10.1016/S2095-3119(16)61521-6
• http://doi.org/10.1371/journal.pone.0179038
• http://doi.org/10.1093/jxb/ery176
• http://doi.org/10.1016/j.biortech.2017.06.164
• http://doi.org/10.3389/fimmu.2018.01179
• http://doi.org/10.1038/s41598-017-03083-3
• http://doi.org/10.1186/s12864-018-4443-1
• http://doi.org/10.1186/s12864-017-3559-z
• http://doi.org/10.1371/journal.pone.0191623
• http://doi.org/10.3390/genes9030147
• http://doi.org/10.1038/srep34570
• http://doi.org/10.1007/s00438-017-1397-y
• http://doi.org/10.3389/fpls.2015.01140
• http://doi.org/10.1029/2018JC014277
• http://doi.org/10.1007/s00253-017-8233-5
• http://doi.org/10.1126/scitranslmed.aan5689
• http://doi.org/10.3390/ijms19061598
• http://doi.org/10.1002/mbo3.562
• http://doi.org/10.1016/j.scitotenv.2017.08.229
• http://doi.org/10.1371/journal.pone.0180150
• http://doi.org/10.1016/j.jpba.2018.05.001
• http://doi.org/10.3390/genes8090235
• http://doi.org/10.1039/C7RA06229J
• http://doi.org/10.1371/journal.pone.0191187
• http://doi.org/10.3390/genes9030156
• http://doi.org/10.1016/j.scitotenv.2018.06.116
• http://doi.org/10.1038/s41598-017-17075-w
• http://doi.org/10.1371/journal.pone.0171523
• http://doi.org/10.1007/s11356-017-9623-z
• http://doi.org/10.1016/j.fsigen.2018.11.005
• http://doi.org/10.1016/j.envpol.2018.03.060
• http://doi.org/10.1038/s41598-018-33280-7
• http://doi.org/10.1007/s13258-016-0418-2
• http://doi.org/10.1016/j.plaphy.2016.06.005
• http://doi.org/10.1016/j.ygeno.2018.07.009
• http://doi.org/10.1016/j.ibiod.2018.02.014
• http://doi.org/10.1016/j.envexpbot.2018.06.027
• http://doi.org/10.1186/s12886-017-0537-9
• http://doi.org/10.1016/j.ecoenv.2018.09.107
• http://doi.org/10.1016/j.biopha.2018.04.063
• http://doi.org/10.1016/j.biortech.2017.10.105
• http://doi.org/10.1093/jnci/djw031
• http://doi.org/10.1007/s00253-016-7802-3
• http://doi.org/10.3390/ijms17111881
• http://doi.org/10.3390/genes9040192
• http://doi.org/10.1016/j.scitotenv.2018.11.372
• http://doi.org/10.1186/s12864-016-2645-y
• http://doi.org/10.1371/journal.pone.0195138
• http://doi.org/10.1016/j.ygcen.2015.10.010
• http://doi.org/10.3389/fpls.2015.01226
• http://doi.org/10.1094/MPMI-11-16-0238-R
• http://doi.org/10.1016/j.jseaes.2017.05.023
• http://doi.org/10.1111/jph.12671
• http://doi.org/10.1038/s41598-017-04944-7
• http://doi.org/10.1021/acs.est.8b02204
• http://doi.org/10.1016/j.envpol.2018.02.023
• http://doi.org/10.1371/journal.pone.0203920
• http://doi.org/10.3389/fpls.2017.00859
• http://doi.org/10.1111/anu.12657
• http://doi.org/10.1021/acs.analchem.7b02283
• http://doi.org/10.1007/s10529-018-2573-9
• http://doi.org/10.3389/fphys.2018.01679
• http://doi.org/10.3390/w10020104
• http://doi.org/10.1155/2017/2730472
• http://doi.org/10.1038/s41598-017-16152-4
• http://doi.org/10.1186/s40104-017-0178-0
• http://doi.org/10.1016/j.scitotenv.2018.11.337
• http://doi.org/10.1016/j.rser.2017.08.018
• http://doi.org/10.1038/nature17954
• http://doi.org/10.3389/fmicb.2017.02057
• http://doi.org/10.3389/fimmu.2017.00704
• http://doi.org/10.1002/jctb.5376
• http://doi.org/10.1016/j.biortech.2017.05.157
• http://doi.org/10.3390/ijms19113430
• http://doi.org/10.1016/j.fsi.2016.02.009
• http://doi.org/10.1186/s12864-018-4516-1
• http://doi.org/10.1007/s00299-018-2315-4
• http://doi.org/10.1007/s13206-017-2203-y
• http://doi.org/10.1128/AEM.01895-15
• http://doi.org/10.1155/2018/2484912
• http://doi.org/10.3389/fmicb.2017.01764
• http://doi.org/10.3390/genes8100288
• http://doi.org/10.2217/epi-2017-0071
• http://doi.org/10.1016/j.plaphy.2016.01.009
• http://doi.org/10.1016/j.compbiolchem.2017.05.010
• http://doi.org/10.1111/tbed.12750
• http://doi.org/10.1371/journal.pntd.0004684
• http://doi.org/10.1038/s41598-018-19866-1
• http://doi.org/10.1093/jisesa/iex069
• http://doi.org/10.1186/s13068-017-0966-y
• http://doi.org/10.1093/gbe/evw179
• http://doi.org/10.3389/fmicb.2017.00790
• http://doi.org/10.1016/j.plaphy.2017.01.019
• http://doi.org/10.1038/s41598-018-21080-y
• http://doi.org/10.1016/j.marpolbul.2018.01.021
• http://doi.org/10.3390/genes9010054
• http://doi.org/10.3389/fmicb.2018.01255
• http://doi.org/10.3390/ijms19020527
• http://doi.org/10.1038/srep44732
• http://doi.org/10.1038/srep15999
• http://doi.org/10.1093/bib/bbw080
• http://doi.org/10.1016/j.lwt.2018.11.064
• http://doi.org/10.1016/j.jphotobiol.2017.01.017
• http://doi.org/10.1007/s00436-018-5941-4
• http://doi.org/10.1038/srep38157
• http://doi.org/10.1016/j.jchromb.2015.12.061
• http://doi.org/10.1038/leu.2016.297
• http://doi.org/10.1039/C5MB00497G
• http://doi.org/10.3390/ijms17071077
• http://doi.org/10.3390/ijms19040934
• http://doi.org/10.1038/s41419-018-0736-1
• http://doi.org/10.3389/fpls.2017.01519
• http://doi.org/10.1007/s12042-016-9183-2
• http://doi.org/10.1007/s13258-018-0689-x
• http://doi.org/10.1128/AEM.01585-18
• http://doi.org/10.3390/ijerph15020326
• http://doi.org/10.1016/j.scitotenv.2018.06.110
• http://doi.org/10.1016/j.ijbiomac.2018.10.179
• http://doi.org/10.1016/j.aquaculture.2018.11.019
• http://doi.org/10.3389/fpls.2015.00957
• http://doi.org/10.3390/ijms19051338
• http://doi.org/10.1038/ncomms12768
• http://doi.org/10.1007/s00253-017-8327-0
• http://doi.org/10.1016/j.bbagen.2016.11.025
• http://doi.org/10.1002/sscp.201700011
• http://doi.org/10.3389/fpls.2017.00955
• http://doi.org/10.1186/s13568-017-0359-4
• http://doi.org/10.1038/srep43382
• http://doi.org/10.1074/mcp.M116.064873
• http://doi.org/10.1016/j.plaphy.2018.09.008
• http://doi.org/10.1016/j.envint.2018.05.029
• http://doi.org/10.1016/j.envint.2018.04.027
• http://doi.org/10.1007/s00284-017-1288-9
• http://doi.org/10.1016/j.chemosphere.2018.09.066
• http://doi.org/10.1016/j.molp.2018.03.018
• http://doi.org/10.1007/s00432-018-2653-1
• http://doi.org/10.1016/j.gene.2017.12.058
• http://doi.org/10.3389/fmicb.2018.02287
• http://doi.org/10.3390/ijms17081304
• http://doi.org/10.3389/fmicb.2017.01294
• http://doi.org/10.1016/j.scienta.2017.07.016
• http://doi.org/10.1093/nar/gkx1041
• http://doi.org/10.3389/fphys.2018.01188
• http://doi.org/10.1007/s11368-016-1485-3
• http://doi.org/10.1016/j.biortech.2018.03.087
• http://doi.org/10.1093/jxb/erx436
• http://doi.org/10.3389/fpls.2017.02081
• http://doi.org/10.1016/j.postharvbio.2018.07.012
• http://doi.org/10.1111/acem.12743
• http://doi.org/10.3389/fmicb.2017.01818
• http://doi.org/10.3390/ijms18102040
• http://doi.org/10.1007/s12298-017-0455-6
• http://doi.org/10.1093/abbs/gmx080
• http://doi.org/10.1002/pmic.201700001
• http://doi.org/10.1007/s13258-017-0602-z
• http://doi.org/10.1371/journal.pone.0197371
• http://doi.org/10.1371/journal.pone.0191159
• http://doi.org/10.1093/abbs/gmv122
• http://doi.org/10.1016/j.ebiom.2017.10.011
• http://doi.org/10.3389/fphys.2018.00210
• http://doi.org/10.1039/C7RA07799H
• http://doi.org/10.1016/j.foodchem.2018.08.013
• http://doi.org/10.1016/j.bbadis.2016.06.006
• http://doi.org/10.1007/s11738-016-2157-z
• http://doi.org/10.7717/peerj.2388
• http://doi.org/10.1016/j.fsi.2017.01.004
• http://doi.org/10.1002/bmc.3907
• http://doi.org/10.1016/j.fsi.2016.11.051
• http://doi.org/10.1128/AEM.01475-17
• http://doi.org/10.3389/fpls.2016.01831
• http://doi.org/10.1016/j.fsi.2018.10.064
• http://doi.org/10.1007/s10535-017-0716-9
• http://doi.org/10.3389/fnagi.2018.00187
• http://doi.org/10.1016/j.micres.2017.12.006
• http://doi.org/10.1021/acs.jproteome.5b00943
• http://doi.org/10.1007/s10658-016-0942-6
• http://doi.org/10.3389/fpls.2016.02067
• http://doi.org/10.1038/srep46212
• http://doi.org/10.1016/j.gene.2017.10.061
• http://doi.org/10.1155/2017/9474896
• http://doi.org/10.3109/1354750X.2016.1153720
• http://doi.org/10.1007/s00726-017-2487-1
• http://doi.org/10.1186/s12864-018-4880-x
• http://doi.org/10.1186/s12864-018-5114-y
• http://doi.org/10.1016/j.jfda.2018.10.004
• http://doi.org/10.1155/2016/5614142
• http://doi.org/10.1093/nar/gky1063
• http://doi.org/10.1111/1462-2920.13541
• http://doi.org/10.1016/j.plantsci.2017.10.003
• http://doi.org/10.3389/fmicb.2016.01960
• http://doi.org/10.3390/ijms18102158
• http://doi.org/10.1007/s10126-018-9852-2
• http://doi.org/10.1007/s00299-016-2057-0
• http://doi.org/10.1007/s13213-017-1262-6
• http://doi.org/10.1016/j.ecoenv.2018.03.015
• http://doi.org/10.1007/s10535-017-0750-7
• http://doi.org/10.1016/j.gene.2018.08.025
• http://doi.org/10.3989/arbor.2016.782n6005
• http://doi.org/10.1186/s13071-016-1947-x
• http://doi.org/10.1186/s12864-018-4722-x
• http://doi.org/10.1038/srep21158
• http://doi.org/10.1038/bjc.2017.126
• http://doi.org/10.1016/j.scitotenv.2018.03.275
• http://doi.org/10.1021/acs.jproteome.8b00654
• http://doi.org/10.1371/journal.pone.0147144
• http://doi.org/10.3389/fpls.2017.00606
• http://doi.org/10.3389/fmicb.2018.00577
• http://doi.org/10.3390/ijms18091923
• http://doi.org/10.3389/fpls.2017.01238
• http://doi.org/10.1007/s00284-017-1305-z
• http://doi.org/10.3389/fnmol.2018.00178
• http://doi.org/10.1002/jcla.22613
• http://doi.org/10.1186/s12864-017-3939-4
• http://doi.org/10.1038/srep39787
• http://doi.org/10.1016/j.cbpc.2017.07.002
• http://doi.org/10.1007/s40242-018-7307-y
• http://doi.org/10.1016/j.ygeno.2016.01.003
• http://doi.org/10.3389/fphar.2017.00677
• http://doi.org/10.1186/s12866-018-1318-1
• http://doi.org/10.1007/s13205-018-1455-0
• http://doi.org/10.3390/ijms18122767
• http://doi.org/10.1016/j.envexpbot.2016.03.004
• http://doi.org/10.1016/j.biortech.2016.03.043
• http://doi.org/10.1007/s10565-018-9444-y
• http://doi.org/10.1038/s41438-018-0054-x
• http://doi.org/10.3389/fpls.2017.00480
• http://doi.org/10.1021/acs.jafc.7b05546
• http://doi.org/10.1186/s12870-016-0819-z
• http://doi.org/10.3390/genes7100089
• http://doi.org/10.1186/s42397-018-0007-9
• http://doi.org/10.1111/cen.13437
• http://doi.org/10.3390/ijms16024209
• http://doi.org/10.1038/s41598-017-01857-3
• http://doi.org/10.1016/j.jbiosc.2018.05.005
• http://doi.org/10.3390/ijms19113338
• http://doi.org/10.3389/fpls.2015.00830
• http://doi.org/10.1038/srep20329
• http://doi.org/10.1093/femsle/fnw138
• http://doi.org/10.1111/ced.13691
• http://doi.org/10.3390/ijms19092631
• http://doi.org/10.1371/journal.pone.0175454
• http://doi.org/10.1111/1744-7917.12552
• http://doi.org/10.1016/j.fsi.2018.03.034
• http://doi.org/10.3390/ijms19082364
• http://doi.org/10.1016/j.margen.2017.03.001
• http://doi.org/10.7717/peerj.5681
• http://doi.org/10.3389/fpls.2016.01379
• http://doi.org/10.1093/pcp/pcy133
• http://doi.org/10.3389/fmicb.2018.01237
• http://doi.org/10.1016/j.watres.2016.01.010
• http://doi.org/10.1016/j.cej.2018.08.161
• http://doi.org/10.1016/j.envpol.2018.11.003
• http://doi.org/10.1074/mcp.M117.066993
• http://doi.org/10.1016/j.pmpp.2018.05.004
• http://doi.org/10.1038/s41598-018-30468-9
• http://doi.org/10.3390/ijms19123769
• http://doi.org/10.1016/j.pnpbp.2017.10.008
• http://doi.org/10.1007/s10482-017-0836-4

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• {"month"=>"4", "year"=>"2015", "pdf_views"=>"69", "xml_views"=>"0", "html_views"=>"120"}
• {"month"=>"5", "year"=>"2015", "pdf_views"=>"56", "xml_views"=>"1", "html_views"=>"100"}
• {"month"=>"6", "year"=>"2015", "pdf_views"=>"75", "xml_views"=>"0", "html_views"=>"84"}
• {"month"=>"7", "year"=>"2015", "pdf_views"=>"72", "xml_views"=>"0", "html_views"=>"82"}
• {"month"=>"8", "year"=>"2015", "pdf_views"=>"47", "xml_views"=>"1", "html_views"=>"83"}
• {"month"=>"9", "year"=>"2015", "pdf_views"=>"67", "xml_views"=>"1", "html_views"=>"105"}
• {"month"=>"10", "year"=>"2015", "pdf_views"=>"63", "xml_views"=>"0", "html_views"=>"81"}
• {"month"=>"11", "year"=>"2015", "pdf_views"=>"85", "xml_views"=>"0", "html_views"=>"112"}
• {"month"=>"12", "year"=>"2015", "pdf_views"=>"73", "xml_views"=>"0", "html_views"=>"125"}
• {"month"=>"1", "year"=>"2016", "pdf_views"=>"72", "xml_views"=>"0", "html_views"=>"118"}
• {"month"=>"2", "year"=>"2016", "pdf_views"=>"18", "xml_views"=>"0", "html_views"=>"79"}
• {"month"=>"3", "year"=>"2016", "pdf_views"=>"71", "xml_views"=>"0", "html_views"=>"134"}
• {"month"=>"4", "year"=>"2016", "pdf_views"=>"192", "xml_views"=>"0", "html_views"=>"171"}
• {"month"=>"5", "year"=>"2016", "pdf_views"=>"123", "xml_views"=>"0", "html_views"=>"137"}
• {"month"=>"6", "year"=>"2016", "pdf_views"=>"102", "xml_views"=>"0", "html_views"=>"115"}
• {"month"=>"7", "year"=>"2016", "pdf_views"=>"91", "xml_views"=>"0", "html_views"=>"115"}
• {"month"=>"8", "year"=>"2016", "pdf_views"=>"105", "xml_views"=>"0", "html_views"=>"124"}
• {"month"=>"9", "year"=>"2016", "pdf_views"=>"117", "xml_views"=>"0", "html_views"=>"149"}
• {"month"=>"10", "year"=>"2016", "pdf_views"=>"128", "xml_views"=>"0", "html_views"=>"145"}
• {"month"=>"11", "year"=>"2016", "pdf_views"=>"59", "xml_views"=>"0", "html_views"=>"140"}
• {"month"=>"12", "year"=>"2016", "pdf_views"=>"163", "xml_views"=>"0", "html_views"=>"183"}
• {"month"=>"1", "year"=>"2017", "pdf_views"=>"93", "xml_views"=>"1", "html_views"=>"153"}
• {"month"=>"2", "year"=>"2017", "pdf_views"=>"85", "xml_views"=>"4", "html_views"=>"139"}
• {"month"=>"3", "year"=>"2017", "pdf_views"=>"132", "xml_views"=>"1", "html_views"=>"200"}
• {"month"=>"4", "year"=>"2017", "pdf_views"=>"105", "xml_views"=>"1", "html_views"=>"151"}
• {"month"=>"5", "year"=>"2017", "pdf_views"=>"107", "xml_views"=>"0", "html_views"=>"147"}
• {"month"=>"6", "year"=>"2017", "pdf_views"=>"105", "xml_views"=>"1", "html_views"=>"142"}
• {"month"=>"7", "year"=>"2017", "pdf_views"=>"118", "xml_views"=>"2", "html_views"=>"118"}
• {"month"=>"8", "year"=>"2017", "pdf_views"=>"96", "xml_views"=>"2", "html_views"=>"131"}
• {"month"=>"9", "year"=>"2017", "pdf_views"=>"94", "xml_views"=>"0", "html_views"=>"126"}
• {"month"=>"10", "year"=>"2017", "pdf_views"=>"97", "xml_views"=>"2", "html_views"=>"151"}
• {"month"=>"11", "year"=>"2017", "pdf_views"=>"91", "xml_views"=>"1", "html_views"=>"166"}
• {"month"=>"12", "year"=>"2017", "pdf_views"=>"124", "xml_views"=>"2", "html_views"=>"191"}
• {"month"=>"1", "year"=>"2018", "pdf_views"=>"143", "xml_views"=>"0", "html_views"=>"121"}
• {"month"=>"2", "year"=>"2018", "pdf_views"=>"64", "xml_views"=>"3", "html_views"=>"63"}
• {"month"=>"3", "year"=>"2018", "pdf_views"=>"103", "xml_views"=>"6", "html_views"=>"108"}
• {"month"=>"4", "year"=>"2018", "pdf_views"=>"155", "xml_views"=>"4", "html_views"=>"103"}
• {"month"=>"5", "year"=>"2018", "pdf_views"=>"120", "xml_views"=>"1", "html_views"=>"112"}
• {"month"=>"6", "year"=>"2018", "pdf_views"=>"100", "xml_views"=>"3", "html_views"=>"129"}
• {"month"=>"7", "year"=>"2018", "pdf_views"=>"117", "xml_views"=>"4", "html_views"=>"119"}
• {"month"=>"8", "year"=>"2018", "pdf_views"=>"111", "xml_views"=>"3", "html_views"=>"98"}
• {"month"=>"9", "year"=>"2018", "pdf_views"=>"94", "xml_views"=>"1", "html_views"=>"89"}
• {"month"=>"10", "year"=>"2018", "pdf_views"=>"130", "xml_views"=>"2", "html_views"=>"91"}
• {"month"=>"11", "year"=>"2018", "pdf_views"=>"99", "xml_views"=>"0", "html_views"=>"79"}
• {"month"=>"12", "year"=>"2018", "pdf_views"=>"38", "xml_views"=>"1", "html_views"=>"22"}

Figshare

• {"files"=>["https://ndownloader.figshare.com/files/1779467"], "description"=>"a<p>Tools, the name of used tools;</p>b<p>Num., the number of papers that used the tool;</p>c<p>Web link, the website of the tool;</p>d<p>N/A, not mentioned in the corresponding papers.</p><p>The summarization of the methods for illustrating heatmaps among the 202 papers published in 2012 on five leading journals.</p>", "links"=>[], "tags"=>["hemi", "protein expression data", "heatmap", "Illustrating Heatmaps", "gene"], "article_id"=>1229168, "categories"=>["Biological Sciences"], "users"=>["Wankun Deng", "Yongbo Wang", "Zexian Liu", "Han Cheng", "Yu Xue"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0111988.t002", "stats"=>{"downloads"=>7, "page_views"=>23, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_summarization_of_the_methods_for_illustrating_heatmaps_among_the_202_papers_published_in_2012_on_five_leading_journals_/1229168", "title"=>"The summarization of the methods for illustrating heatmaps among the 202 papers published in 2012 on five leading journals.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-11-05 03:08:55"}
• {"files"=>["https://ndownloader.figshare.com/files/1779468"], "description"=>"<p>To calculate the pairwise distances for the hierarchical clustering, three commonly used linkage criteria were taken from the Wikipedia (<a href=\"http://en.wikipedia.org/wiki/Hierarchical_clustering\" target=\"_blank\">http://en.wikipedia.org/wiki/Hierarchical_clustering</a>).</p><p>Three mostly used linkage criteria for the hierarchical clustering.</p>", "links"=>[], "tags"=>["hemi", "protein expression data", "heatmap", "Illustrating Heatmaps", "gene"], "article_id"=>1229169, "categories"=>["Biological Sciences"], "users"=>["Wankun Deng", "Yongbo Wang", "Zexian Liu", "Han Cheng", "Yu Xue"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0111988.t003", "stats"=>{"downloads"=>8, "page_views"=>22, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Three_mostly_used_linkage_criteria_for_the_hierarchical_clustering_/1229169", "title"=>"Three mostly used linkage criteria for the hierarchical clustering.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-11-05 03:08:55"}
• {"files"=>["https://ndownloader.figshare.com/files/1779469"], "description"=>"<p>To calculate the distances for the hierarchical and k-means clustering approaches, up to 7 mostly used distances were adopted.</p><p>Seven distances for the clustering.</p>", "links"=>[], "tags"=>["hemi", "protein expression data", "heatmap", "Illustrating Heatmaps", "gene"], "article_id"=>1229170, "categories"=>["Biological Sciences"], "users"=>["Wankun Deng", "Yongbo Wang", "Zexian Liu", "Han Cheng", "Yu Xue"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0111988.t004", "stats"=>{"downloads"=>1, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Seven_distances_for_the_clustering_/1229170", "title"=>"Seven distances for the clustering.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-11-05 03:08:55"}
• {"files"=>["https://ndownloader.figshare.com/files/1779462"], "description"=>"<p>(A) The numerical data in one of three file formats can be directly loaded, whereas the data area can be selected by dragging or holding-SHIFT-then-click manipulations. Titles for <i>X</i>-axis or <i>Y</i>-axis can also be specified; (B) Multiple options for manipulating the heatmp; (C) The numeric data can be clustered for either or both of <i>X</i>-axis and <i>Y</i>-axis; (D) Publication-quality figures can be exported, and two figure formats were supported.</p>", "links"=>[], "tags"=>["hemi", "protein expression data", "heatmap", "Illustrating Heatmaps", "gene"], "article_id"=>1229163, "categories"=>["Biological Sciences"], "users"=>["Wankun Deng", "Yongbo Wang", "Zexian Liu", "Han Cheng", "Yu Xue"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0111988.g001", "stats"=>{"downloads"=>2, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Usage_of_HemI_1_0_/1229163", "title"=>"Usage of HemI 1.0.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-11-05 03:08:55"}
• {"files"=>["https://ndownloader.figshare.com/files/1779464"], "description"=>"<p>(A) Thermal shifts, which indicate binding affinities of 185 compounds to 13 PARPs, were measured by DSF. A higher value represents a stronger binding affinity. (B) Totally, 428 androgen-repressed genes were identified from LNCaP cells, after the treatment of 1 nM synthetic androgen R1881 for 3, 6, 12, 24 and 48 hours. Values shown were normalized to 0 hour and log² transformed.</p>", "links"=>[], "tags"=>["hemi", "protein expression data", "heatmap", "Illustrating Heatmaps", "gene"], "article_id"=>1229165, "categories"=>["Biological Sciences"], "users"=>["Wankun Deng", "Yongbo Wang", "Zexian Liu", "Han Cheng", "Yu Xue"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0111988.g002", "stats"=>{"downloads"=>2, "page_views"=>74, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Illustrating_heatmaps_by_HemI_1_0_/1229165", "title"=>"Illustrating heatmaps by HemI 1.0.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-11-05 03:08:55"}
• {"files"=>["https://ndownloader.figshare.com/files/1779465"], "description"=>"<p>To estimate <i>how</i> many papers contain heatmaps, we went through all original research papers (excluding reviews and other articles) published in 2012 of five leading journals as below.</p>a<p>Num. of Heatmaps, the number of papers containing with at least one heatmap figure;</p>b<p>Per., the percentiles.</p><p>Using frequency of heatmap.</p>", "links"=>[], "tags"=>["hemi", "protein expression data", "heatmap", "Illustrating Heatmaps", "gene"], "article_id"=>1229167, "categories"=>["Biological Sciences"], "users"=>["Wankun Deng", "Yongbo Wang", "Zexian Liu", "Han Cheng", "Yu Xue"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0111988.t001", "stats"=>{"downloads"=>3, "page_views"=>18, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Using_frequency_of_heatmap_/1229167", "title"=>"Using frequency of heatmap.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-11-05 03:08:55"}

PMC Usage Stats | Further Information

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• {"unique-ip"=>"25", "full-text"=>"22", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"11", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"9"}
• {"unique-ip"=>"35", "full-text"=>"29", "pdf"=>"8", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"9", "supp-data"=>"0", "cited-by"=>"3", "year"=>"2015", "month"=>"10"}
• {"unique-ip"=>"25", "full-text"=>"27", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"11", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"2"}
• {"unique-ip"=>"16", "full-text"=>"7", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"10", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"11"}
• {"unique-ip"=>"27", "full-text"=>"20", "pdf"=>"13", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"12", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"12"}
• {"unique-ip"=>"29", "full-text"=>"20", "pdf"=>"11", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"11", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"1"}
• {"unique-ip"=>"36", "full-text"=>"25", "pdf"=>"18", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"9", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"11"}
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• {"unique-ip"=>"38", "full-text"=>"41", "pdf"=>"8", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"18", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"4"}
• {"unique-ip"=>"29", "full-text"=>"25", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"5"}
• {"unique-ip"=>"34", "full-text"=>"36", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"16", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"6"}
• {"unique-ip"=>"32", "full-text"=>"30", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"7"}
• {"unique-ip"=>"34", "full-text"=>"31", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"12", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"8"}
• {"unique-ip"=>"28", "full-text"=>"28", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"12", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"9"}
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• {"unique-ip"=>"45", "full-text"=>"43", "pdf"=>"11", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"14", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"12"}
• {"unique-ip"=>"30", "full-text"=>"32", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"7", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"1"}
• {"unique-ip"=>"59", "full-text"=>"62", "pdf"=>"13", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"14", "supp-data"=>"0", "cited-by"=>"2", "year"=>"2017", "month"=>"2"}
• {"unique-ip"=>"54", "full-text"=>"58", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"29", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"3"}
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• {"unique-ip"=>"23", "full-text"=>"23", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"13", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"7"}
• {"unique-ip"=>"44", "full-text"=>"39", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"14", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2017", "month"=>"8"}
• {"unique-ip"=>"50", "full-text"=>"46", "pdf"=>"16", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"27", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"9"}
• {"unique-ip"=>"59", "full-text"=>"54", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"29", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"10"}
• {"unique-ip"=>"47", "full-text"=>"46", "pdf"=>"13", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"7", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2017", "month"=>"11"}
• {"unique-ip"=>"53", "full-text"=>"45", "pdf"=>"21", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"10", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"12"}
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Relative Metric

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F1000Prime