Using Visualized Matrix Effects to Develop and Improve LC-MS/MS Bioanalytical Methods, Taking TRAM-34 as an Example
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{"title"=>"Using visualized matrix effects to develop and improve LC-MS/MS bioanalytical methods, taking TRAM-34 as an example", "type"=>"journal", "authors"=>[{"first_name"=>"Jia Hung", "last_name"=>"Ye", "scopus_author_id"=>"56091810500"}, {"first_name"=>"Li Heng", "last_name"=>"Pao", "scopus_author_id"=>"7006551423"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"doi"=>"10.1371/journal.pone.0118818", "issn"=>"19326203", "sgr"=>"84929380266", "scopus"=>"2-s2.0-84929380266", "pui"=>"604372041"}, "id"=>"bb6bf0fd-3f9b-38cf-b7ea-eb502293066f", "abstract"=>"Matrix effects (MEs) continue to be an obstacle in the development of the LC-MS/MS method, with phospholipids being the major cause of MEs. Changing the mobile phase has been a common strategy to reduce MEs; however, the underlying mechanism is unclear. \"Insource multiple-reaction monitoring\" (IS-MRM) for glycerophosphocholines (PCs) has been commonly applied in many bioanalytical methods. \"Visualized MEs\" is a suitable term to describe the application of IS-MRM to visualize the elution pattern of phospholipids. We selected a real case to discuss the relationship of MEs and phospholipids in different mobile phases by quantitative, qualitative, and visualized MEs in LC-MS/MS bioanalysis. The application of visualized MEs not only predicts the ion-suppression zone but also helps in selecting an appropriate (1) mobile phase, (2) column, (3) needle wash solvent for the residue of analyte and phospholipids, and (4) evaluates the clean-up efficiency of sample preparation. The TRAM-34 LC-MS/MS method, improved by using visualized MEs, was shown to be a precise and accurate analytical method. All data indicated that the use of visualized MEs indeed provided useful information about the LC-MS/MS method development and improvement. In this study, an integrative approach for the qualitative, quantitative, and visualized MEs was used to decipher the complexity of MEs. © 2015 Ye, Pao.", "link"=>"http://www.mendeley.com/research/using-visualized-matrix-effects-develop-improve-lcmsms-bioanalytical-methods-taking-tram34-example", "reader_count"=>5, "reader_count_by_academic_status"=>{"Researcher"=>1, "Student > Ph. D. Student"=>4}, "reader_count_by_user_role"=>{"Researcher"=>1, "Student > Ph. D. Student"=>4}, "reader_count_by_subject_area"=>{"Medicine and Dentistry"=>1, "Chemistry"=>3, "Social Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Chemistry"=>{"Chemistry"=>3}, "Social Sciences"=>{"Social Sciences"=>1}}, "reader_count_by_country"=>{"Sweden"=>1}, "group_count"=>0}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2039528"], "description"=>"<p>(A) Mobile phase B is MeOH/ACN 50/50 + 0.2% FA. There were four dips that represent ion suppression in the chromatogram. Asterisk: elution of TRAM-34 was located in the peak of ion-suppression zone. (B) Mobile phase B is MeOH + 0.2% FA. There were three dips that represent ion suppression in the chromatogram. Elution of TRAM-34 was located in the largest dip. (C) Mobile phase B is ACN + 0.2% FA. There were three dips that represent ion suppression in the chromatogram. Elution of TRAM-34 was not located in the dip.</p>", "links"=>[], "tags"=>["elution pattern", "Visualized Matrix Effects", "Visualized MEs", "phospholipid", "pc", "bioanalytical methods", "Example Matrix effects", "sample preparation", "tram"], "article_id"=>1394208, "categories"=>["Biological Sciences"], "users"=>["Jia-Hung Ye", "Li-Heng Pao"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0118818.g004", "stats"=>{"downloads"=>2, "page_views"=>40, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Qualitative_matrix_effects_assessment_by_postcolumn_infusion_for_TRAM_34_/1394208", "title"=>"Qualitative matrix effects (assessment by postcolumn infusion) for TRAM-34.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-24 04:37:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/2039529"], "description"=>"<p>During LC-MS/MS method development, compound tuning, column selection, LC condition testing, method validation, and quantitative matrix effects assessment are necessary. To boost LC-MS/MS method development, use of visualized matrix effects is introduced. By monitoring the elution of the analyte and phospholipids, it is easier to evaluate whether the LC conditions are appropriate. Visualization of the phospholipid elution pattern is of tremendous benefit to LC-MS/MS method development and improvement.</p>", "links"=>[], "tags"=>["elution pattern", "Visualized Matrix Effects", "Visualized MEs", "phospholipid", "pc", "bioanalytical methods", "Example Matrix effects", "sample preparation", "tram"], "article_id"=>1394209, "categories"=>["Biological Sciences"], "users"=>["Jia-Hung Ye", "Li-Heng Pao"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0118818.g005", "stats"=>{"downloads"=>3, "page_views"=>350, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Flowchart_of_LC_MS_MS_method_development_/1394209", "title"=>"Flowchart of LC-MS/MS method development.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-24 04:37:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/2039530"], "description"=>"<p>The Matrix effects data (mean ± s.d.).</p>", "links"=>[], "tags"=>["elution pattern", "Visualized Matrix Effects", "Visualized MEs", "phospholipid", "pc", "bioanalytical methods", "Example Matrix effects", "sample preparation", "tram"], "article_id"=>1394210, "categories"=>["Biological Sciences"], "users"=>["Jia-Hung Ye", "Li-Heng Pao"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0118818.t001", "stats"=>{"downloads"=>0, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_Matrix_effects_data_mean_177_s_d_/1394210", "title"=>"The Matrix effects data (mean ± s.d.).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-04-24 04:37:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/2039531"], "description"=>"<p>Set 1 = TRAM-34 and IS spiked in the extracted plasma.</p><p>Set 2 = TRAM-34 and IS spiked in the acetonitrile:water.</p><p>Matrix effect = Set 1/ Set 2 × 100</p><p>The matrix effects data in the improved TRAM-34 method (mean ± s.d.).</p>", "links"=>[], "tags"=>["elution pattern", "Visualized Matrix Effects", "Visualized MEs", "phospholipid", "pc", "bioanalytical methods", "Example Matrix effects", "sample preparation", "tram"], "article_id"=>1394211, "categories"=>["Biological Sciences"], "users"=>["Jia-Hung Ye", "Li-Heng Pao"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0118818.t002", "stats"=>{"downloads"=>0, "page_views"=>22, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_matrix_effects_data_in_the_improved_TRAM_34_method_mean_177_s_d_/1394211", "title"=>"The matrix effects data in the improved TRAM-34 method (mean ± s.d.).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-04-24 04:37:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/2039532"], "description"=>"<p>The accuracy and precision of within-run and between-run of TRAM-34 in rat plasma (n = 6).</p>", "links"=>[], "tags"=>["elution pattern", "Visualized Matrix Effects", "Visualized MEs", "phospholipid", "pc", "bioanalytical methods", "Example Matrix effects", "sample preparation", "tram"], "article_id"=>1394212, "categories"=>["Biological Sciences"], "users"=>["Jia-Hung Ye", "Li-Heng Pao"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0118818.t003", "stats"=>{"downloads"=>11, "page_views"=>31, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_accuracy_and_precision_of_within_run_and_between_run_of_TRAM_34_in_rat_plasma_n_6_/1394212", "title"=>"The accuracy and precision of within-run and between-run of TRAM-34 in rat plasma (n = 6).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-04-24 04:37:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/2039534", "https://ndownloader.figshare.com/files/2039535", "https://ndownloader.figshare.com/files/2039536", "https://ndownloader.figshare.com/files/2039537", "https://ndownloader.figshare.com/files/2039538", "https://ndownloader.figshare.com/files/2039539", "https://ndownloader.figshare.com/files/2039540", "https://ndownloader.figshare.com/files/2039541", "https://ndownloader.figshare.com/files/2039542"], "description"=>"<div><p>Matrix effects (MEs) continue to be an obstacle in the development of the LC-MS/MS method, with phospholipids being the major cause of MEs. Changing the mobile phase has been a common strategy to reduce MEs; however, the underlying mechanism is unclear. \"In-source multiple-reaction monitoring\" (IS-MRM) for glycerophosphocholines (PCs) has been commonly applied in many bioanalytical methods. \"Visualized MEs\" is a suitable term to describe the application of IS-MRM to visualize the elution pattern of phospholipids. We selected a real case to discuss the relationship of MEs and phospholipids in different mobile phases by quantitative, qualitative, and visualized MEs in LC-MS/MS bioanalysis. The application of visualized MEs not only predicts the ion-suppression zone but also helps in selecting an appropriate (1) mobile phase, (2) column, (3) needle wash solvent for the residue of analyte and phospholipids, and (4) evaluates the clean-up efficiency of sample preparation. The TRAM-34 LC-MS/MS method, improved by using visualized MEs, was shown to be a precise and accurate analytical method. All data indicated that the use of visualized MEs indeed provided useful information about the LC-MS/MS method development and improvement. In this study, an integrative approach for the qualitative, quantitative, and visualized MEs was used to decipher the complexity of MEs.</p></div>", "links"=>[], "tags"=>["elution pattern", "Visualized Matrix Effects", "Visualized MEs", "phospholipid", "pc", "bioanalytical methods", "Example Matrix effects", "sample preparation", "tram"], "article_id"=>1394214, "categories"=>["Biological Sciences"], "users"=>["Jia-Hung Ye", "Li-Heng Pao"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0118818.s001", "https://dx.doi.org/10.1371/journal.pone.0118818.s002", "https://dx.doi.org/10.1371/journal.pone.0118818.s003", "https://dx.doi.org/10.1371/journal.pone.0118818.s004", "https://dx.doi.org/10.1371/journal.pone.0118818.s005", "https://dx.doi.org/10.1371/journal.pone.0118818.s006", "https://dx.doi.org/10.1371/journal.pone.0118818.s007", "https://dx.doi.org/10.1371/journal.pone.0118818.s008", "https://dx.doi.org/10.1371/journal.pone.0118818.s009"], "stats"=>{"downloads"=>3, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Using_Visualized_Matrix_Effects_to_Develop_and_Improve_LC_MS_MS_Bioanalytical_Methods_Taking_TRAM_34_as_an_Example_/1394214", "title"=>"Using Visualized Matrix Effects to Develop and Improve LC-MS/MS Bioanalytical Methods, Taking TRAM-34 as an Example", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-04-24 04:37:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/2039525"], "description"=>"<p>(A) Structure of LPC. The ion fragments are <i>m/z</i> 184 and <i>m/z</i> 104. (B) Structure of PC. The ion fragment is <i>m/z</i> 184. (C) Structure of TRAM-34. MW = 344. (D) Structure of bifonazole. MW = 311.</p>", "links"=>[], "tags"=>["elution pattern", "Visualized Matrix Effects", "Visualized MEs", "phospholipid", "pc", "bioanalytical methods", "Example Matrix effects", "sample preparation", "tram"], "article_id"=>1394205, "categories"=>["Biological Sciences"], "users"=>["Jia-Hung Ye", "Li-Heng Pao"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0118818.g001", "stats"=>{"downloads"=>4, "page_views"=>240, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Structure_of_glycerophosphocholine_PC_lyso_PC_LPC_TRAM_34_and_bifonazole_/1394205", "title"=>"Structure of glycerophosphocholine (PC), lyso-PC (LPC), TRAM-34 and bifonazole.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-24 04:37:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/2039526"], "description"=>"<p>Blue line represents the calibration curve; red line represents the plateau curve at high concentrations. calibration curve using ACN + 0.2% FA (r = 0.9996), (B). When comparing the linearity in Fig. 2A and 2B, it represents that there might be massive ion suppression in MeOH + 0.2% FA.</p>", "links"=>[], "tags"=>["elution pattern", "Visualized Matrix Effects", "Visualized MEs", "phospholipid", "pc", "bioanalytical methods", "Example Matrix effects", "sample preparation", "tram"], "article_id"=>1394206, "categories"=>["Biological Sciences"], "users"=>["Jia-Hung Ye", "Li-Heng Pao"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0118818.g002", "stats"=>{"downloads"=>0, "page_views"=>22, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Plateaued_calibration_curve_using_MeOH_0_2_FA_A_/1394206", "title"=>"Plateaued calibration curve using MeOH + 0.2% FA, (A).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-24 04:37:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/2039527"], "description"=>"<p>(A) Mobile phase B is MeOH/ACN 50/50 + 0.2% FA. Relative elution time and elution pattern of TRAM-34 and phospholipids for both the <i>m/z</i> 184.1 → 184.1 and <i>m/z</i> 104.1 → 104.1 transitions. Elution of TRAM-34 was at the trough of that of the phospholipids. (B) Mobile phase B is MeOH + 0.2% FA. Relative elution time and elution pattern of TRAM-34 and phospholipids for both the <i>m/z</i> 184.1 → 184.1 and <i>m/z</i> 104.1 → 104.1 transitions. Elution of TRAM-34 was in the largest peak of phospholipids. (C) Mobile phase B is ACN + 0.2% FA. Relative elution time and elution pattern of TRAM-34 and phospholipids for both <i>m/z</i> 184.1 → 184.1 and <i>m/z</i> 104.1 → 104.1 transitions. Elution of TRAM-34 was almost separate from that of phospholipids.</p>", "links"=>[], "tags"=>["elution pattern", "Visualized Matrix Effects", "Visualized MEs", "phospholipid", "pc", "bioanalytical methods", "Example Matrix effects", "sample preparation", "tram"], "article_id"=>1394207, "categories"=>["Biological Sciences"], "users"=>["Jia-Hung Ye", "Li-Heng Pao"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0118818.g003", "stats"=>{"downloads"=>0, "page_views"=>24, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Visualized_elution_patterns_of_phospholipids_and_TRAM_34_in_in_source_multiple_reaction_monitoring_IS_MRM_channels_/1394207", "title"=>"Visualized elution patterns of phospholipids and TRAM-34 in in-source multiple-reaction monitoring (IS-MRM) channels.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-24 04:37:08"}

PMC Usage Stats | Further Information

  • {"unique-ip"=>"7", "full-text"=>"8", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"5"}
  • {"unique-ip"=>"12", "full-text"=>"12", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"6"}
  • {"unique-ip"=>"15", "full-text"=>"18", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"7"}
  • {"unique-ip"=>"21", "full-text"=>"20", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"7", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"8"}
  • {"unique-ip"=>"15", "full-text"=>"16", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"9"}
  • {"unique-ip"=>"13", "full-text"=>"13", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"8", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"10"}
  • {"unique-ip"=>"5", "full-text"=>"4", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"2"}
  • {"unique-ip"=>"19", "full-text"=>"17", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"11"}
  • {"unique-ip"=>"7", "full-text"=>"5", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"12"}
  • {"unique-ip"=>"17", "full-text"=>"17", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"1"}
  • {"unique-ip"=>"10", "full-text"=>"16", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"3"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"4"}
  • {"unique-ip"=>"7", "full-text"=>"6", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2016", "month"=>"5"}
  • {"unique-ip"=>"13", "full-text"=>"11", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"6"}
  • {"unique-ip"=>"9", "full-text"=>"8", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"7"}
  • {"unique-ip"=>"1", "full-text"=>"1", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"8"}
  • {"unique-ip"=>"4", "full-text"=>"7", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"9"}
  • {"unique-ip"=>"11", "full-text"=>"12", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"10"}
  • {"unique-ip"=>"9", "full-text"=>"10", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"11"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"12"}
  • {"unique-ip"=>"11", "full-text"=>"11", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"1"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"2"}
  • {"unique-ip"=>"16", "full-text"=>"16", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"3"}
  • {"unique-ip"=>"6", "full-text"=>"5", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"4"}
  • {"unique-ip"=>"13", "full-text"=>"10", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"5"}
  • {"unique-ip"=>"8", "full-text"=>"9", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2017", "month"=>"6"}
  • {"unique-ip"=>"9", "full-text"=>"11", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"7"}
  • {"unique-ip"=>"11", "full-text"=>"8", "pdf"=>"10", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"8"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"14", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"9"}
  • {"unique-ip"=>"17", "full-text"=>"8", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"5", "cited-by"=>"0", "year"=>"2017", "month"=>"10"}
  • {"unique-ip"=>"7", "full-text"=>"5", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"11"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"12"}
  • {"unique-ip"=>"11", "full-text"=>"13", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"1"}
  • {"unique-ip"=>"8", "full-text"=>"7", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"3"}
  • {"unique-ip"=>"15", "full-text"=>"16", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2019", "month"=>"1"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"4"}
  • {"unique-ip"=>"7", "full-text"=>"8", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"5"}
  • {"unique-ip"=>"17", "full-text"=>"12", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"8", "cited-by"=>"0", "year"=>"2018", "month"=>"6"}
  • {"unique-ip"=>"8", "full-text"=>"4", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"4", "cited-by"=>"0", "year"=>"2018", "month"=>"7"}
  • {"unique-ip"=>"10", "full-text"=>"10", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
  • {"unique-ip"=>"6", "full-text"=>"6", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"10"}
  • {"unique-ip"=>"8", "full-text"=>"8", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
  • {"unique-ip"=>"9", "full-text"=>"9", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
  • {"unique-ip"=>"9", "full-text"=>"8", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"7", "full-text"=>"8", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"9", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"11", "full-text"=>"11", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"12", "full-text"=>"14", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}
  • {"unique-ip"=>"12", "full-text"=>"10", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
  • {"unique-ip"=>"10", "full-text"=>"9", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"7", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
  • {"unique-ip"=>"20", "full-text"=>"22", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"10"}

Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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