Metric Multidimensional Scaling Research Articles

Genetic Polymorphisms and Forensic Parameters of Thirteen X-Chromosome Markers in the Iraqi Kurdish Population.

X-chromosome short tandem repeat (X-STR) tools are crucial in forensic genetics and human population fields. This study presents the development and validation of a multiplex STR system consisting of thirteen X-STR loci and amelogenin specific to the human X chromosome. The system was optimized and tested for species specificity, sensitivity, stability, and DNA mixture using 9947A female and 9948 male control genomic DNA. The amplified products of nine loci were sequenced to determine the correct amplicon length. Allele frequencies, forensic parameters, mean exclusion chance (MEC), linkage disequilibrium (LD), and allelic patterns were investigated using DNA samples from 225 (159 male, 66 female) unrelated Kurdish individuals who live in Sulaymaniyah province in the Kurdistan region of Iraq. The most informative locus in the Kurdish population was GATA172D05, while the least informative locus was DXS10164. The results demonstrated that the 13 X-STR system is highly polymorphic and sensitive for forensic DNA identification. Genetic distance-based clustering, metric multidimensional scaling (MDS), and correlation matrix were analyzed for 19 ethnic groups and populations. The phylogenetic tree showed that populations clustered according to their ethnogeographic relationships. The findings revealed genetic links between the Iraqi Kurds, Caucasians, Iraqi Arabs, United States (U.S.) ethnic groups, and Chinese populations.

Functional traits of medicinal plant species under different ecological conditions

Medicinal plant species comprise 21% of the Slovakian native flora. Thirteen species, we focused on, grew at a control site (botanical garden) and three natural sites with different ecological conditions. We described effects of irradiance and soil organic matter content on leaf functional traits, such are specific leaf area and leaf dry matter content. For the formation of plant functional groups according to different leaf characteristics, the metric multidimensional scaling (MDS) ordination diagram was applied. Photosynthetically active radiation (PAR) had a more significant effect on studied leaf traits than content of soil organic matter (SOM). Moreover, we studied plasticity of these leaf functional traits and formed plant functional groups based on them. Urtica dioica and Geum urbanum possessed the greatest plasticity of all studied species.

Earthworm community structure and diversity in different land-use systems along an elevation gradient in the Western Himalaya, India

The state Himachal Pradesh in Western Himalaya was explored to know the community structure of earthworms in agroecosystems along the elevation gradient ranges from 300 to 2500 m above sea level. The study aimed to determine the influence of climate, soil variables and the cropping pattern on species diversity and abundance. Therefore, a total of six land-use types including three crop land, and three orchards (Apple, Pear and Mango) were studied at low (300-500 m), middle (500–1500 m) and high (1500-2500 m) elevations. The results indicate that the earthworm community varies with the cropping intensity, with a greater species richness observed in the traditional cropping system including organic input vegetable field than in the cereal crop field having a high input of chemical fertilizers and using more up-to-date heavy and deep ploughing machines. The number of species significantly increased with the increasing elevation, reaching a peak at the middle but decreasing with the further elevation. The Metric-multidimensional scaling (MDS) analysis showed the highest similarity of 61% between sites of high elevation, 49% between the sites of low elevation, and 21% similarity between sites of middle and high elevations based on the density of earthworm. The Canonical correspondence analysis showed the significant positive (rainfall, soil moisture, and organic carbon) and negative (pH) relationship with earthworm density. It supports the role of physicochemical parameters in determining the earthworm community along the elevations. Except mango orchard, all sites were predominated by exotic peregrine earthworm species, which is a matter of concern for invasion and impact on the native species. While it is true that anthropogenically influenced ecosystems are more prone to invasion by alien species, further research is required in the adjacent forests to compare the impact of land-use changes on earthworm communities.

A biogeographic assessment of phytoplankton richness and composition in the Andaman Archipelago and the potential links to anthropogenic and environmental impacts: A multivariate approach

We report here a year-round baseline assessment on phytoplankton diversity and abundance from the pristine coastal waters of the Andaman Islands (September 2011–October 2012). A total of 84 phytoplankton species belonging to 47 genera were recorded from the North to South Andaman Islands. The maximum number of phytoplankton diversity (84 species under 47 genera) was recorded during the northeast monsoon (NEM) at a highly urbanized coastal environment like South Andaman Islands, whereas the minimum diversity (53 species under 34 genera) was recorded during the inter-monsoon (IM) period at the less anthropogenic activity sites viz. North and Middle Andaman Islands. All over seasons, the community composition of phytoplankton was mostly dominated by diatoms (45%–87%) followed by dinoflagellates (11%–46%) and blue–green algae (1%–35%). Besides, the abundance of phytoplankton was recorded as a gradual decrease from South Andaman to North Andaman Islands. The Canonical Correspondence Analysis (CCA) revealed the impact of physicochemical variables on phytoplankton assemblages. Thus, the temperature, salinity, and nitrite were the major environmental variables that influenced phytoplankton assemblage and distribution in the coastal waters of the Andaman Islands. The Principal Component Analysis (PCA) showed a strong variability of phytoplankton diversity in the South Andaman Islands (PC1: 32.6–36.2% variance). In addition, the Metric-multidimensional Scaling analysis also showed the gradual species intensity in the South Andaman than the Middle and North Andaman Islands.

Diversity of the BoLA-DRB3 gene in cattle breeds from tropical and subtropical regions of Argentina.

Bovine leukocyte antigens (BoLA) have been widely studied because of their primary function in the recognition of pathogens by the immune system. To date, however, the characterization of the BoLA-DRB3 gene in Latin American Zebu and mixed zebuine breeds is scarce. By a sequence-based typing method, here we sequenced exon 2 of BoLA class II DRB3 gene in 264 animals from the five most commonly used breeds in northern Argentina (Creole, Brahman, Braford, Brangus, and Nellore).The Bos taurus, Bos indicus, and mixed breeds analyzed here contained 61 previously reported alleles. Genetic diversity was high at both allelic and nucleotide sequence levels, particularly in the mixed breeds Braford and Brangus. In contrast to previous reports on DRB3 diversity, no evidence of balancing selection was found in our data. Differentiation among breeds was highly significant, as shown by FST (FST = 0.052, P < 0.001) and cluster analyses. In accordance with historical origin of the breeds, UPGMA trees and metric multidimensional scaling (MDS) analyses showed that Creole is distantly related to the other zebuine breeds. Among them, Brahman, Braford, and Brangus exhibited the closest affiliations. Despite the overall differentiation of the breeds, analysis of the peptide binding regions at the aminoacid level revealed that the key aminoacids involved in peptide recognition are greatly conserved suggesting little influence of domestication and breeding in functional MHC variability. In sum, this is the first report of BoLA-DRB3 diversity in pure and mixed Bos indicus cattle breeds from Argentina. Knowledge of BoLA-DRB3 variability in breeds adapted to tropical and subtropical environments contributes not only to the characterization of MHC diversity but also to the design of peptide-based vaccines.

ICHTHYOFAUNAL DIVERSITY OF THE FRESHWATER SWAMP FOREST RATARGUL, SYLHET, BANGLADESH

An ichthyofaunal study in the Ratargul swamp forest, north Sylhet was carried out from July 2014 to June 2015 resulted in the collection of 37 species of fishes belonging to nine orders and 21 families. Order Cypriniformes dominated contributing 27.03% of the total fish. Shannon-Wiener diversity index (H’), the Margalef species richness (d), the Pielou’s evenness index (J’) and the Simpson dominance index (c) were calculated as 2.28±0.294, 5.18± 1.23, 0.96±0.013 and 0.96±0.012. SIMPER analysis divulged the highest dissimilarity (56.22%) in between the January-August group and lowest (10.07%) in the July-August group. Non metric-multidimensional scaling (nMDS) showed 50% similarity for all months, while 80% similarity showed four separate clusters among all months. Wise use of this wetland and establishment of fish sanctuary are suggested for long-term conservation of the native fish species and the ecosystem

Antibody Mediated Immunity to SARS-CoV-2 and Human Coronaviruses: Multiplex Beads Assay and Volumetric Absorptive Microsampling to Generate Immune Repertoire Cartography.

The COVID-19 pandemic is caused by SARS-CoV-2, a novel zoonotic coronavirus. Emerging evidence indicates that preexisting humoral immunity against other seasonal human coronaviruses (HCoVs) plays a critical role in the specific antibody response to SARS-CoV-2. However, current work to assess the effects of preexisting and cross-reactive anti-HCoVs antibodies has been limited. To address this issue, we have adapted our previously reported multiplex assay to simultaneously and quantitatively measure anti-HCoV antibodies. The full mPlex-CoV panel covers the spike (S) and nucleocapsid (N) proteins of three highly pathogenic HCoVs (SARS-CoV-1, SARS-CoV-2, MERS) and four human seasonal strains (OC43, HKU1, NL63, 229E). Combining this assay with volumetric absorptive microsampling (VAMS), we measured the anti-HCoV IgG, IgA, and IgM antibodies in fingerstick blood samples. The results demonstrate that the mPlex-CoV assay has high specificity and sensitivity. It can detect strain-specific anti-HCoV antibodies down to 0.1 ng/ml with 4 log assay range and with low intra- and inter-assay coefficients of variation (%CV). We also estimate multiple strain HCoVs IgG, IgA and IgM concentration in VAMS samples in three categories of subjects: pre-COVID-19 (n=21), post-COVID-19 convalescents (n=19), and COVID-19 vaccine recipients (n=14). Using metric multidimensional scaling (MDS) analysis, HCoVs IgG concentrations in fingerstick blood samples were well separated between the pre-COVID-19, post-COVID-19 convalescents, and COVID-19 vaccine recipients. In addition, we demonstrate how multi-dimensional scaling analysis can be used to visualize IgG mediated antibody immunity against multiple human coronaviruses. We conclude that the combination of VAMS and the mPlex-Cov assay is well suited to performing remote study sample collection under pandemic conditions to monitor HCoVs antibody responses in population studies.

Understanding population differentiation using geographical, morphological and genetic characterization in Erodium cicunium

Erodium cicunium (Geraniaceae) species are distributed in different habitats of Iran. Some species are of medicinal importance while some are well known weeds and used as forage plants. An investigation was carried out to evaluate 124 randomly collected plants of E. cicunium from 15 geographical populations in 5 provinces to study population structure and for morphological and molecular characters. Start Codon Targeted (SCoT) markers were used to analyse molecular diversity. Analysis of molecular variance (AMOVA) revealed significant genetic difference among the studied populations and also revealed that 60% of total genetic variability was due to within population diversity, while 40% genetic differentiation was recorded among populations. Principal Coordinates Analysis (PCoA) of populations based on morphological characters was not in agreement with Metric Multidimensional Scaling (MDS) plot of molecular data.

Tracking Decadal Changes in Palk Bay Coral Community Structure: A Multivariate Approach

The study assessed a decade long changes of the coral community structure in the Palk Bay region using multivariate analysis based on observed coral life-forms and its diversity between the years, 2002 and 2018. A total of 11 study sites were selected from Rameswaram Island to Mandapam coast. Live coral cover was found to be 27% (21% non-Acropora and 6% Acropora corals) during the study period 2002–2005. Principal component analysis (PCA) showed that there was a significant variability (PC1: 39.5% variance) in coral cover between the study site, Bison House and the rest of the study sites. In the study of 2014–2018, live coral cover observed was 17% and this included 11% non-Acropora and 6% Acropora corals. PCA showed that the contribution of live coral cover gradually reduced towards the northern part of Rameswaram Island. Metric multi-dimensional Scaling (MDS) showed that there were four clusters formed between the sites with 80% similarity as observed based on the life-form categories. There were three major clusters with 70% similarity observed based on coral diversity. The highest diversity index (Shannon-wiener) was observed at Olaikudah and Villunditheertham as 1.906 and 1.864 respectively. As of 2014–2018, the live coral status showed 37% less than that found during 2002–2005 study period. Variation of reef flat composition was studied using Depth-Invariant Index for the study period 2002–2005. This study has helped to understand the longitudinal gradient of incidence, temporal variations, and distribution pattern of coral reef community categories in the Palk Bay region.

Goodness-of-fit filtering in classical metric multidimensional scaling with large datasets

Metric multidimensional scaling (MDS) is a widely used multivariate method with applications in almost all scientific disciplines. Eigenvalues obtained in the analysis are usually reported in order to calculate the overall goodness-of-fit of the distance matrix. In this paper, we refine MDS goodness-of-fit calculations, proposing additional point and pairwise goodness-of-fit statistics that can be used to filter poorly represented observations in MDS maps. The proposed statistics are especially relevant for large data sets that contain outliers, with typically many poorly fitted observations, and are helpful for improving MDS output and emphasizing the most important features of the dataset. Several goodness-of-fit statistics are considered, and both Euclidean and non-Euclidean distance matrices are considered. Some examples with data from demographic, genetic and geographic studies are shown.

On the study of mystical materials identified by indentation on power law and Voce hardening solids

We conduct an incisive investigation of the existence of a one-to-one correspondence between a material’s elastoplastic properties and its indentation responses, with particular emphasis on the residual imprint. We first unravel a so-called ”mystical material” pair reported by Chen et al. (J Mech Phys Solids, 55(8):1618, 2007) by examining the specimens’ post-indentation morphologies, despite using a single self-similar indenter. Next, using Metric Multidimensional Scaling (MDS), we mitigate the mystical material issue for materials hardening according to the popular Hollomon’s power law equation. In contrast, the same exact protocol reveals the absence of a one-to-one correspondence between the single indentation response and Voce hardening parameters. To alleviate this, we propose a multi-depth indentation strategy.

Spatial variance of POPs and heavy metals in transformer oil-contaminated soil around Tamil Nadu.

The persistent organic pollutants in the environment are one of the global issues to their unregulated disposal and informal recycling. This study investigates the contamination of soil with polychlorinated biphenyls (PCBs), polyaromatic hydrocarbons (PAHs), phenolic compounds and heavy metals via spillage of transformer oil (TO). Fresh TO (FTO), used TO (UTO) and soil samples were analysed using GC-MS to confirm the presence of 8 PCB congeners, 16 PAHs and 24 types of phenolic compounds and using inductively coupled plasma optical emission spectrometry to confirm the presence of 7 heavy metals. The chromatographic analysis revealed the levels of mono-, di-, tri-, tetra-, penta-, hexa-, hepta- and octachlorobiphenyls in FTO to be 5.63, 25.24, 0.195, 0.185, 2.169, 1.023 and 5.28mg/L and the level of mono-, di-, tri-, tetra-, penta- and hexachlorobiphenyls in UTO to be 0.27, 1.21, 1.31, 0.80, 1.77 and 3.90mg/L. Analysis of soil from 10 different TO-contaminated sites showed the presence of PCBs, PAHs, phenolic compounds and heavy metals in the concentration range of 0.53-42.87mg/kg, 3.19-246.6μg/kg, 0.01-4086.45μg/kg and 1.0-401.3mg/kg, respectively. The variation in the concentration of these compounds and heavy metals among different sampling sites was determined using principal component analysis (PCA), metric multi-dimensional scaling (MDS) and Bray-Curtis cluster analysis (Bu-CA). The toxicity equivalence factor and the mechanism involved in the disruption of endocrine system are discussed. Thus, this study exemplifies the need for complete ban of PCB-containing TOs in developing countries and urges the need for technology for the disposal of TO.

Switchgrass Cultivation within Loblolly Pine Plantations Influences Invertebrate Community Composition and Resource Use

Abstract Global interest in biofuels has resulted in the development of novel land-use practices for the production of cellulosic biomass. One novel land-use practice that has recently been developed is intercropping switchgrass (Panicum virgatum) between rows of planted loblolly pines (Pinus taeda). However, our understanding of how intercropping switchgrass influences loblolly pine flora and fauna is limited. Therefore, we evaluated the influence of switchgrass cultivation within loblolly pine stands on invertebrate communities. We detected 2,913 individuals (n = 1,172 and 1,741 in 2014 and 2015, respectively), encompassing 13 orders. To examine invertebrate community composition among treatments, we conducted metric multidimensional scaling (MDS) in R. Multivariate analysis determined that treatment had a significant (Pr(>r) = 0.01) influence on invertebrate communities. Furthermore, stable isotope analysis suggests that Orthopterans are not assimilating cultivated switchgrass (C4 species), but are ins...

Response of soil microorganisms to radioactive oil waste: results from a leaching experiment

Abstract. Oil wastes produced in large amounts in the processes of oil extraction, refining, and transportation are of great environmental concern because of their mutagenicity, toxicity, high fire hazardousness, and hydrophobicity. About 40% of these wastes contain radionuclides; however, the effects of oil products and radionuclides on soil microorganisms are frequently studied separately. The effects on various microbial parameters of raw waste containing 575 g of total petroleum hydrocarbons (TPH) kg−1 waste, 4.4 of 226Ra, 2.8 of 232Th, and 1.3 kBq kg−1 of 40K and its treated variant (1.6 g kg−1 of TPH, 7.9 of 226Ra, 3.9 of 232Th, and 183 kBq kg−1 of 40K) were examined in a leaching column experiment to separate the effects of hydrocarbons from those of radioactive elements. The raw waste sample (H) was collected from tanks during cleaning and maintenance, and a treated waste sample (R) was obtained from equipment for oil waste treatment. Thermal steam treatment is used in the production yard to reduce the oil content. The disposal of H waste samples on the soil surface led to an increase in the TPH content in soil: it became 3.5, 2.8, and 2.2 times higher in the upper (0–20 cm), middle (20–40 cm), and lower (40–60cm) layers, respectively. Activity concentrations of 226Ra and 232Th increased in soil sampled from both H- and R- columns in comparison to their concentrations in control soil. The activity concentrations of these two elements in samples taken from the upper and middle layers were much higher for the R-column compared to the H-column, despite the fact that the amount of waste added to the columns was equalized with respect to the activity concentrations of radionuclides. The H waste containing both TPH and radionuclides affected the functioning of the soil microbial community, and the effect was more pronounced in the upper layer of the column. Metabolic quotient and cellulase activity were the most sensitive microbial parameters as their levels were changed 5–1.4 times in comparison to control ones. Changes in soil functional characteristics caused by the treated waste containing mainly radionuclides were not observed. PCR-SSCP (polymerase chain reaction – single strand conformation polymorphism) analysis followed by MDS (metric multidimensional scaling) and clustering analysis revealed that the shifts in microbial community structure were affected by both hydrocarbons and radioactivity. Thus, molecular methods permitted to reveal the effects on soil microbial community not only from hydrocarbons, which significantly altered functional characteristics of soil microbiome, but also from radioactive elements.

Search for marketing and strategy in key international journal: a bibliometric publications study on the XXI Century

This bibliometric study investigates Marketing and Strategy association in twenty relevant academic journals, divided equally between both fields. The methods used to identify the most influential studies; the most common conceptual approach and how researches from both areas evolved in the first fourteen years of the 21st century were citation and cocitation network analysis, exploratory factor analysis (EFA) and metric multidimensional scaling (MDS). Sample size was comprised of 5,270 articles, embodying over 130,000 citations, which had a relevant conceptual influence on the Resource Based View (RBV), Knowledge Based View (KBV), Transaction Cost Theory (TCT) and competitive strategy of the Industrial Organization (IO). Uppermost cited references were clustered in three factors, representing the theoretical approach used when both disciplines are compiled. The results showed: a) meaningful increase on the number of papers encompassing both areas in Marketing journals; b) RBV, TCT and IO as the most used Strategic themes to connect with Marketing and c) the overall most cited studies in the period of analysis. Guidelines for future research are provided for further investigation on the combination of Marketing and Strategy, identifying possible gaps to be covered.

GrammR: graphical representation and modeling of count data with application in metagenomics.

Microbiota compositions have great implications in human health, such as obesity and other conditions. As such, it is of great importance to cluster samples or taxa to visualize and discover community substructures. Graphical representation of metagenomic count data relies on two aspects, measure of dissimilarity between samples/taxa and algorithm used to estimate coordinates to study microbiota communities. UniFrac is a dissimilarity measure commonly used in metagenomic research, but it requires a phylogenetic tree. Principal coordinate analysis (PCoA) is a popular algorithm for estimating two-dimensional (2D) coordinates for graphical representation, although alternative and higher-dimensional representations may reveal underlying community substructures invisible in 2D representations. We adapt a new measure of dissimilarity, penalized Kendall's τ-distance, which does not depend on a phylogenetic tree, and hence more readily applicable to a wider class of problems. Further, we propose to use metric multidimensional scaling (MDS) as an alternative to PCoA for graphical representation. We then devise a novel procedure for determining the number of clusters in conjunction with PAM (mPAM). We show superior performances with higher-dimensional representations. We further demonstrate the utility of mPAM for accurate clustering analysis, especially with higher-dimensional MDS models. Applications to two human microbiota datasets illustrate greater insights into the subcommunity structure with a higher-dimensional analysis.

Profiling Some of the Dire Household Debt Determinants: A Metric Multidimensional Scaling Approach

The purpose of this paper was to use the metric Multidimensional scaling (MDS) to explore the ten dire household debt determinants in the context of South Africa. Macroeconomic data used was collected from the South African reserve bank and Statistics South African websites for the first quarters of 1990 to 2013. SPSS 22 was used to execute the analysis. A Standardized Residuals Sum of Squares (STRESS 1) measure calculated as 0.00077confirmed the best fit of the MDS model and the Tucker’s Coefficient of Congruence implied that 99.9% of variance in the model is accounted for by the two dimensions. This was also a confirmation that the ten selected determinants can better be represented in a two dimensional perpetual map. The findings revealed two profiles of household debts. Gross domestic product and house prices are associated with high levels of household debts. The remainder of the determinants is found to have low effects. MDS demonstrated its effectiveness in classifying household debt determinants according to their contribution. Also revealed is that an MDS is a useful tool to use in quantifying the ubiquitous, but slimy, notion of similarity.

Foundations of Trust and Distrust in Networks

Modeling trust in very large social networks is a hard problem due to the highly noisy nature of these networks that span trust relationships from many different contexts, based on judgments of reliability, dependability, and competence. Furthermore, relationships in these networks vary in their level of strength. In this article, we introduce a novel extension of structural balance theory as a foundational theory of trust and distrust in networks. Our theory preserves the distinctions between trust and distrust as suggested in the literature, but also incorporates the notion of relationship strength that can be expressed as either discrete categorical values, as pairwise comparisons, or as metric distances. Our model is novel, has sound social and psychological basis, and captures the classical balance theory as a special case. We then propose a convergence model, describing how an imbalanced network evolves towards new balance, and formulate the convergence problem of a social network as a Metric Multidimensional Scaling (MDS) optimization problem. Finally, we show how the convergence model can be used to predict edge signs in social networks and justify our theory through extensive experiments on real datasets.

Bios2mds: an R package for comparing orthologous protein families by metric multidimensional scaling

BackgroundThe distance matrix computed from multiple alignments of homologous sequences is widely used by distance-based phylogenetic methods to provide information on the evolution of protein families. This matrix can also be visualized in a low dimensional space by metric multidimensional scaling (MDS). Applied to protein families, MDS provides information complementary to the information derived from tree-based methods. Moreover, MDS gives a unique opportunity to compare orthologous sequence sets because it can add supplementary elements to a reference space.ResultsThe R package bios2mds (from BIOlogical Sequences to MultiDimensional Scaling) has been designed to analyze multiple sequence alignments by MDS. Bios2mds starts with a sequence alignment, builds a matrix of distances between the aligned sequences, and represents this matrix by MDS to visualize a sequence space. This package also offers the possibility of performing K-means clustering in the MDS derived sequence space. Most importantly, bios2mds includes a function that projects supplementary elements (a.k.a. “out of sample” elements) onto the space defined by reference or “active” elements. Orthologous sequence sets can thus be compared in a straightforward way. The data analysis and visualization tools have been specifically designed for an easy monitoring of the evolutionary drift of protein sub-families.ConclusionsThe bios2mds package provides the tools for a complete integrated pipeline aimed at the MDS analysis of multiple sets of orthologous sequences in the R statistical environment. In addition, as the analysis can be carried out from user provided matrices, the projection function can be widely used on any kind of data.

Knowledge structure in international marketing: a multi-method bibliometric analysis

This study examines the underlying forces that shape the international marketing (IM) field using three bibliometric methods: exploratory factor analysis (EFA), hierarchical cluster analysis (HCA), and metric multidimensional scaling (MDS). We apply these techniques to evaluate the knowledge structure of IM publications for the 1999–2008 period and to concurrently provide a supplemental examination of the findings for the 2009–2010 period. Overall, our database contains 228,929 citations used in 3,632 IM articles from 34 academic journals in which marketing publications appear. We initially trace the underpinning knowledge structure in the literature in five-year increments for all influential IM publications. We then refine our analysis and examine marketing-centered scholarly influences on the IM literature and undertake an examination of the developments in later years. The results indicate that the IM field is expanding and is considerably more inclusive, sophisticated, and increasingly more complex than in earlier periods. Our findings also demonstrate that other disciplines (principally management) have had a profound influence on the development of the IM literature during the 12-year period under investigation. Using the bibliometric results derived from our data, we provide guidelines for future research and contrast them with those forwarded in review studies of the international marketing literature.