Temperature Impacts the Development and Survival of Common Cutworm (Spodoptera litura): Simulation and Visualization of Potential Population Growth in India under Warmer Temperatures through Life Cycle Modelling and Spatial Mapping
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{"title"=>"Temperature impacts the development and survival of common cutworm (Spodoptera litura): Simulation and visualization of potential population growth in India under warmer temperatures through life cycle modelling and spatial mapping", "type"=>"journal", "authors"=>[{"first_name"=>"Babasaheb B.", "last_name"=>"Fand", "scopus_author_id"=>"55502666000"}, {"first_name"=>"Nitin T.", "last_name"=>"Sul", "scopus_author_id"=>"56624549300"}, {"first_name"=>"Santanu K.", "last_name"=>"Bal", "scopus_author_id"=>"7004415167"}, {"first_name"=>"P. S.", "last_name"=>"Minhas", "scopus_author_id"=>"7004332597"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84928975073", "doi"=>"10.1371/journal.pone.0124682", "pui"=>"604050490", "pmid"=>"25927609", "scopus"=>"2-s2.0-84928975073", "issn"=>"19326203"}, "id"=>"9919abe8-1038-33d2-ab86-49311b257363", "abstract"=>"The common cutworm, Spodoptera litura, has become a major pest of soybean (Glycine max) throughout its Indian range. With a changing climate, there is the potential for this insect to become an increasingly severe pest in certain regions due to increased habitat suitability. To examine this possibility, we developed temperature-based phenology model for S. litura, by constructing thermal reaction norms for cohorts of single life stages, at both constant and fluctuating temperatures within the ecologically relevant range (15-38°C) for its development. Life table parameters were estimated stochastically using cohort updating and rate summation approach. The model was implemented in the geographic information system to examine the potential future pest status of S. litura using temperature change projections from SRES A1B climate change scenario for the year 2050. The changes were visualized by means of three spatial indices demonstrating the risks for establishment, number of generations per year and pest abundance according to the temperature conditions. The results revealed that the development rate as a function of temperature increased linearly for all the immature stages of S. litura until approximately 34-36°C, after which it became non-linear. The extreme temperature of 38°C was found lethal to larval and pupal stages of S. litura wherein no development to the next stage occurred. Females could lay no eggs at the extreme low (15°C) and high (> 35°C) test temperatures, demonstrating the importance of optimum temperature in determining the suitability of climate for the mating and reproduction in S. litura. The risk mapping predicts that due to temperature increase under future climate change, much of the soybean areas in Indian states like Madhya Pradesh, Maharashtra and Rajasthan, will become suitable for S. litura establishment and increased pest activity, indicating the expansion of the suitable and favourable areas over time. This has serious implication in terms of soybean production since these areas produce approximately 95% of the total soybeans in India. As the present model results are based on temperature only, and the effects of other abiotic and biotic factors determining the pest population dynamics were excluded, it presents only the potential population growth parameters for S. litura. However, if combined with the field observations, the model results could certainly contribute to gaining insight into the field dynamics of S. litura.", "link"=>"http://www.mendeley.com/research/temperature-impacts-development-survival-common-cutworm-spodoptera-litura-simulation-visualization-p", "reader_count"=>23, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Researcher"=>4, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>1, "Student > Master"=>4, "Other"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Researcher"=>4, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>1, "Student > Master"=>4, "Other"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Environmental Science"=>3, "Agricultural and Biological Sciences"=>15, "Social Sciences"=>1, "Computer Science"=>2, "Earth and Planetary Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Social Sciences"=>{"Social Sciences"=>1}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>15}, "Computer Science"=>{"Computer Science"=>2}, "Unspecified"=>{"Unspecified"=>1}, "Environmental Science"=>{"Environmental Science"=>3}}, "reader_count_by_country"=>{"Colombia"=>1, "Czech Republic"=>1}, "group_count"=>3}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2046648"], "description"=>"<p>Comparisons between the developmental effects of diurnal temperature fluctuations predicted from models based on thermal reaction norms designed for constant temperatures with those observed in fluctuating temperatures.</p>", "links"=>[], "tags"=>["future climate change", "model results", "pest population dynamics", "litura", "sres", "Life Cycle Modelling", "population growth parameters", "Potential Population Growth", "future pest status", "temperature change projections", "life table parameters", "1B climate change scenario", "rate summation approach"], "article_id"=>1399744, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Babasaheb B. Fand", "Nitin T. Sul", "Santanu K. Bal", "P. S. Minhas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0124682.t005", "stats"=>{"downloads"=>1, "page_views"=>25, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparisons_between_the_developmental_effects_of_diurnal_temperature_fluctuations_predicted_from_models_based_on_thermal_reaction_norms_designed_for_constant_temperatures_with_those_observed_in_fluctuating_temperatures_/1399744", "title"=>"Comparisons between the developmental effects of diurnal temperature fluctuations predicted from models based on thermal reaction norms designed for constant temperatures with those observed in fluctuating temperatures.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-04-30 03:30:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/2046635"], "description"=>"<p>Scheme of model implementation for estimating temperature-dependent <i>S</i>. <i>litura</i> population growth.</p>", "links"=>[], "tags"=>["future climate change", "model results", "pest population dynamics", "litura", "sres", "Life Cycle Modelling", "population growth parameters", "Potential Population Growth", "future pest status", "temperature change projections", "life table parameters", "1B climate change scenario", "rate summation approach"], "article_id"=>1399731, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Babasaheb B. Fand", "Nitin T. Sul", "Santanu K. Bal", "P. S. Minhas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0124682.g001", "stats"=>{"downloads"=>1, "page_views"=>20, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Scheme_of_model_implementation_for_estimating_temperature_dependent_S_litura_population_growth_/1399731", "title"=>"Scheme of model implementation for estimating temperature-dependent <i>S</i>. <i>litura</i> population growth.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-30 03:30:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/2046636"], "description"=>"<p>Egg (a), Larva (b), and Pupa (c). Fitted curves: Modified Sharpe and DeMichele model for all immature stages. The bold solid line is the selected model output and dashed lines above and below represents the upper and lower 95% confidence bands. Bars represent standard deviation of the mean.</p>", "links"=>[], "tags"=>["future climate change", "model results", "pest population dynamics", "litura", "sres", "Life Cycle Modelling", "population growth parameters", "Potential Population Growth", "future pest status", "temperature change projections", "life table parameters", "1B climate change scenario", "rate summation approach"], "article_id"=>1399732, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Babasaheb B. Fand", "Nitin T. Sul", "Santanu K. Bal", "P. S. Minhas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0124682.g002", "stats"=>{"downloads"=>1, "page_views"=>18, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Temperature_dependent_developmental_rates_1_day_for_immature_stages_of_S_litura_/1399732", "title"=>"Temperature-dependent developmental rates (1/ day) for immature stages of <i>S</i>. <i>litura</i>.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-30 03:30:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/2046637"], "description"=>"<p>Female(a) and Male (b). Fitted curves: Modified Sharpe and DeMichele model for both sexes. The upper and lower 95% confidence intervals of the model are indicated. Bars represent standard deviation of the mean.</p>", "links"=>[], "tags"=>["future climate change", "model results", "pest population dynamics", "litura", "sres", "Life Cycle Modelling", "population growth parameters", "Potential Population Growth", "future pest status", "temperature change projections", "life table parameters", "1B climate change scenario", "rate summation approach"], "article_id"=>1399733, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Babasaheb B. Fand", "Nitin T. Sul", "Santanu K. Bal", "P. S. Minhas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0124682.g003", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Temperature_dependent_senescence_rates_1_day_for_adults_of_S_litura_/1399733", "title"=>"Temperature-dependent senescence rates (1/ day) for adults of <i>S</i>. <i>litura</i>.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-30 03:30:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/2046638"], "description"=>"<p>Egg (a), Larva (b) and Pupa (c). Fitted curves: Wang model for all immature stages. The upper and lower 95% confidence intervals of the model are indicated. Markers are observed means, bars represent standard deviation.</p>", "links"=>[], "tags"=>["future climate change", "model results", "pest population dynamics", "litura", "sres", "Life Cycle Modelling", "population growth parameters", "Potential Population Growth", "future pest status", "temperature change projections", "life table parameters", "1B climate change scenario", "rate summation approach"], "article_id"=>1399734, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Babasaheb B. Fand", "Nitin T. Sul", "Santanu K. Bal", "P. S. Minhas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0124682.g004", "stats"=>{"downloads"=>2, "page_views"=>21, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Temperature_dependent_mortality_rates_of_immature_life_stages_S_litura_/1399734", "title"=>"Temperature-dependent mortality rates of immature life stages S. litura.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-30 03:30:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/2046639"], "description"=>"<p>Total egg production curve, fitted function: exponential polynomial model (a); and Age-related oviposition rate, fitted curve: Gamma distribution function (b). The upper and lower 95% confidence intervals of the model are indicated. The dots are observed data points.</p>", "links"=>[], "tags"=>["future climate change", "model results", "pest population dynamics", "litura", "sres", "Life Cycle Modelling", "population growth parameters", "Potential Population Growth", "future pest status", "temperature change projections", "life table parameters", "1B climate change scenario", "rate summation approach"], "article_id"=>1399735, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Babasaheb B. Fand", "Nitin T. Sul", "Santanu K. Bal", "P. S. Minhas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0124682.g005", "stats"=>{"downloads"=>0, "page_views"=>18, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Temperature_dependent_reproduction_of_S_litura_/1399735", "title"=>"Temperature-dependent reproduction of <i>S</i>. <i>litura</i>.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-30 03:30:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/2046640"], "description"=>"<p>Intrinsic rate of natural increase (a), Net reproduction rate (b), Gross reproductive rate (c), Mean generation time (d), Finite rate of increase (e), and Doubling time (f).</p>", "links"=>[], "tags"=>["future climate change", "model results", "pest population dynamics", "litura", "sres", "Life Cycle Modelling", "population growth parameters", "Potential Population Growth", "future pest status", "temperature change projections", "life table parameters", "1B climate change scenario", "rate summation approach"], "article_id"=>1399736, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Babasaheb B. Fand", "Nitin T. Sul", "Santanu K. Bal", "P. S. Minhas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0124682.g006", "stats"=>{"downloads"=>1, "page_views"=>30, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Life_table_parameters_of_S_litura_estimated_at_six_constant_temperatures_/1399736", "title"=>"Life table parameters of <i>S</i>. <i>litura</i> estimated at six constant temperatures.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-30 03:30:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/2046641"], "description"=>"<p>Observed and simulated life stage frequencies of <i>S</i>. <i>litura</i>. Dots represent observed data points at fluctuating experiments, and the lines represent developmental frequencies simulated at fluctuating temperatures based on thermal reaction norms for constant temperatures.</p>", "links"=>[], "tags"=>["future climate change", "model results", "pest population dynamics", "litura", "sres", "Life Cycle Modelling", "population growth parameters", "Potential Population Growth", "future pest status", "temperature change projections", "life table parameters", "1B climate change scenario", "rate summation approach"], "article_id"=>1399737, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Babasaheb B. Fand", "Nitin T. Sul", "Santanu K. Bal", "P. S. Minhas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0124682.g007", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Model_validation_/1399737", "title"=>"Model validation.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-30 03:30:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/2046642"], "description"=>"<p>Current climatic conditions (a), Future climatic conditions (b), and Absolute change in ERI (c). Geographical regions having ERI values > 0.6 are associated with the risk of permanent establishment.</p>", "links"=>[], "tags"=>["future climate change", "model results", "pest population dynamics", "litura", "sres", "Life Cycle Modelling", "population growth parameters", "Potential Population Growth", "future pest status", "temperature change projections", "life table parameters", "1B climate change scenario", "rate summation approach"], "article_id"=>1399738, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Babasaheb B. Fand", "Nitin T. Sul", "Santanu K. Bal", "P. S. Minhas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0124682.g008", "stats"=>{"downloads"=>2, "page_views"=>38, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Change_in_establishment_and_future_distribution_of_S_litura_in_soybean_growing_areas_of_India_based_on_establishment_risk_index_ERI_/1399738", "title"=>"Change in establishment and future distribution of <i>S</i>. <i>litura</i> in soybean growing areas of India based on establishment risk index (ERI).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-30 03:30:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/2046643"], "description"=>"<p>Current climatic conditions (a), Future climatic conditions (b), and Absolute change in GI (c). Economic damage is most likely to occur in the regions with generation index values > 7.0.</p>", "links"=>[], "tags"=>["future climate change", "model results", "pest population dynamics", "litura", "sres", "Life Cycle Modelling", "population growth parameters", "Potential Population Growth", "future pest status", "temperature change projections", "life table parameters", "1B climate change scenario", "rate summation approach"], "article_id"=>1399739, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Babasaheb B. Fand", "Nitin T. Sul", "Santanu K. Bal", "P. S. Minhas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0124682.g009", "stats"=>{"downloads"=>2, "page_views"=>33, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Change_in_number_of_generations_per_year_of_S_litura_in_soybean_growing_areas_of_India_based_on_generation_index_GI_/1399739", "title"=>"Change in number of generations per year of <i>S</i>. <i>litura</i> in soybean growing areas of India based on generation index (GI).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-30 03:30:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/2046644"], "description"=>"<p>Current climatic conditions (a), Future climatic conditions (b), and Absolute change in AI (c). An index value of 1 represents 10-fold potential population increase within a year. <i>e</i>.<i>g</i>.: An AI value of 4.0 represents 10<sup>4</sup><i>i</i>.<i>e</i>. 10,000 times potential population increase within a year.</p>", "links"=>[], "tags"=>["future climate change", "model results", "pest population dynamics", "litura", "sres", "Life Cycle Modelling", "population growth parameters", "Potential Population Growth", "future pest status", "temperature change projections", "life table parameters", "1B climate change scenario", "rate summation approach"], "article_id"=>1399740, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Babasaheb B. Fand", "Nitin T. Sul", "Santanu K. Bal", "P. S. Minhas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0124682.g010", "stats"=>{"downloads"=>6, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Change_in_abundance_and_damage_potential_of_S_litura_in_soybean_growing_areas_of_India_based_on_activity_index_AI_/1399740", "title"=>"Change in abundance and damage potential of <i>S</i>. <i>litura</i> in soybean growing areas of India based on activity index (AI).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-30 03:30:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/2046645"], "description"=>"<p><sup>1</sup>‘a’ represents the intercepts at respective temperatures</p><p>Distribution of the cumulative development/ senescence time frequencies for different life stages of <i>S</i>. <i>litura</i> at various constant temperatures in laboratory (Fitted function: logit model for all stages).</p>", "links"=>[], "tags"=>["future climate change", "model results", "pest population dynamics", "litura", "sres", "Life Cycle Modelling", "population growth parameters", "Potential Population Growth", "future pest status", "temperature change projections", "life table parameters", "1B climate change scenario", "rate summation approach"], "article_id"=>1399741, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Babasaheb B. Fand", "Nitin T. Sul", "Santanu K. Bal", "P. S. Minhas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0124682.t002", "stats"=>{"downloads"=>3, "page_views"=>32, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Distribution_of_the_cumulative_development_senescence_time_frequencies_for_different_life_stages_of_S_litura_at_various_constant_temperatures_in_laboratory_Fitted_function_logit_model_for_all_stages_/1399741", "title"=>"Distribution of the cumulative development/ senescence time frequencies for different life stages of <i>S</i>. <i>litura</i> at various constant temperatures in laboratory (Fitted function: logit model for all stages).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-04-30 03:30:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/2046646"], "description"=>"<p>Estimated parameters of the four parameter Sharpe and DeMichele model fitted to the temperature-dependent development rate of immature life stages of <i>S</i>. <i>litura</i>.</p>", "links"=>[], "tags"=>["future climate change", "model results", "pest population dynamics", "litura", "sres", "Life Cycle Modelling", "population growth parameters", "Potential Population Growth", "future pest status", "temperature change projections", "life table parameters", "1B climate change scenario", "rate summation approach"], "article_id"=>1399742, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Babasaheb B. Fand", "Nitin T. Sul", "Santanu K. Bal", "P. S. Minhas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0124682.t003", "stats"=>{"downloads"=>7, "page_views"=>79, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Estimated_parameters_of_the_four_parameter_Sharpe_and_DeMichele_model_fitted_to_the_temperature_dependent_development_rate_of_immature_life_stages_of_S_litura_/1399742", "title"=>"Estimated parameters of the four parameter Sharpe and DeMichele model fitted to the temperature-dependent development rate of immature life stages of <i>S</i>. <i>litura</i>.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-04-30 03:30:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/2046647"], "description"=>"<p>Estimated parameters of the Wang model fitted to the temperature-dependent mortality rate for immature life stages of <i>S</i>. <i>litura</i>.</p>", "links"=>[], "tags"=>["future climate change", "model results", "pest population dynamics", "litura", "sres", "Life Cycle Modelling", "population growth parameters", "Potential Population Growth", "future pest status", "temperature change projections", "life table parameters", "1B climate change scenario", "rate summation approach"], "article_id"=>1399743, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Babasaheb B. Fand", "Nitin T. Sul", "Santanu K. Bal", "P. S. Minhas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0124682.t004", "stats"=>{"downloads"=>1, "page_views"=>38, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Estimated_parameters_of_the_Wang_model_fitted_to_the_temperature_dependent_mortality_rate_for_immature_life_stages_of_S_litura_/1399743", "title"=>"Estimated parameters of the Wang model fitted to the temperature-dependent mortality rate for immature life stages of <i>S</i>. <i>litura</i>.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-04-30 03:30:51"}

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  • {"unique-ip"=>"23", "full-text"=>"28", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"26", "full-text"=>"28", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"30", "full-text"=>"31", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}
  • {"unique-ip"=>"24", "full-text"=>"28", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
  • {"unique-ip"=>"26", "full-text"=>"28", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
  • {"unique-ip"=>"38", "full-text"=>"43", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"10"}
  • {"unique-ip"=>"36", "full-text"=>"39", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"12"}
  • {"unique-ip"=>"40", "full-text"=>"37", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"7", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2020", "month"=>"2"}
  • {"unique-ip"=>"40", "full-text"=>"56", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2020", "month"=>"3"}
  • {"unique-ip"=>"33", "full-text"=>"38", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"4"}
  • {"unique-ip"=>"22", "full-text"=>"18", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"5"}
  • {"unique-ip"=>"25", "full-text"=>"30", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"6"}
  • {"unique-ip"=>"39", "full-text"=>"37", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"7"}
  • {"unique-ip"=>"20", "full-text"=>"18", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"8"}
  • {"unique-ip"=>"26", "full-text"=>"30", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"9"}
  • {"unique-ip"=>"26", "full-text"=>"29", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"10"}

Relative Metric

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