R: A Language and Environment for Statistical Computing

Maternal separation with early weaning: a rodent model providing novel insights into neglect associated developmental deficits

Carlyle, B. C., Duque, A., Kitchen, R. R., Bordner, K. A., Coman, D., Doolittle, E., Papademetris, X., Hyder, F., Taylor, J. R., & Simen, A. A. (2012) · Development and Psychopathology · doi:10.1017/s095457941200079x · Cited by 80

Multiple imputation of multiple multi-item scales when a full imputation model is infeasible

Plumpton, C. O., Morris, T., Hughes, D. A., & White, I. R. (2016) · BMC Research Notes · doi:10.1186/s13104-016-1853-5 · Cited by 76

Systematic review of integrated studies on functional and thematic ecosystem services in Latin America, 1992–2017

Perevochtchikova, M., De la Mora-De la Mora, G., Hernández Flores, J. Á., Marín, W., Langle Flores, A., Ramos Bueno, A., & Rojo Negrete, I. A. (2019) · Ecosystem Services · doi:10.1016/j.ecoser.2019.100900 · Cited by 80

Reconstructing grassland fire history using sedimentary charcoal: Considering count, size and shape

Leys, B. A., Commerford, J. L., & McLauchlan, K. K. (2017) · PLOS ONE · doi:10.1371/journal.pone.0176445 · Cited by 80

Genomic models with genotype × environment interaction for predicting hybrid performance: an application in maize hybrids

Acosta-Pech, R., Crossa, J., de los Campos, G., Teyssèdre, S., Claustres, B., Pérez-Elizalde, S., & Pérez-Rodríguez, P. (2017) · Theoretical and Applied Genetics · doi:10.1007/s00122-017-2898-0 · Cited by 74

Choice Over Control: How Users Write with Large Language Models using Diegetic and Non-Diegetic Prompting

Dang, H., Goller, S., Lehmann, F., & Buschek, D. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580969 · Cited by 83

Developmental transformations in the structure of executive functions

Hartung, J., Engelhardt, L. E., Thibodeaux, M. L., Harden, K. P., & Tucker-Drob, E. M. (2020) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2019.104681 · Cited by 78

Aggression and violence in psychiatric hospitals with and without open door policies: A 15-year naturalistic observational study

Schneeberger, A. R., Kowalinski, E., Fröhlich, D., Schröder, K., von Felten, S., Zinkler, M., Beine, K. H., Heinz, A., Borgwardt, S., Lang, U. E., et al. (2017) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2017.08.017 · Cited by 81

Extending Causality Tests with Genetic Instruments: An Integration of Mendelian Randomization with the Classical Twin Design

Minică, C. C., Dolan, C. V., Boomsma, D. I., de Geus, E., & Neale, M. C. (2018) · Behavior Genetics · doi:10.1007/s10519-018-9904-4 · Cited by 80

Latent developmental potential to form limb-like skeletal structures in zebrafish

Hawkins, M. B., Henke, K., & Harris, M. P. (2021) · Cell · doi:10.1016/j.cell.2021.01.003 · Cited by 80

Welfare outcomes and the advance of the deforestation frontier in the Brazilian Amazon

Celentano, D., Sills, E., Sales, M., & Veríssimo, A. (2012) · World Development · doi:10.1016/j.worlddev.2011.09.002 · Cited by 80

Allopatric speciation within a cryptic species complex of Australasian octopuses

Amor, M. D., Norman, M. D., Cameron, H. E., & Strugnell, J. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098982 · Cited by 79

Susceptibility of European freshwater fish to climate change: Species profiling based on life‐history and environmental characteristics

Jarić, I., Lennox, R. J., Kalinkat, G., Cvijanović, G., & Radinger, J. (2019) · Global Change Biology · doi:10.1111/gcb.14518 · Cited by 79

A systematic review and meta-analysis of attentional bias toward food in individuals with overweight and obesity

Hagan, K. E., Alasmar, A., Exum, A., Chinn, B., & Forbush, K. T. (2020) · Appetite · doi:10.1016/j.appet.2020.104710 · Cited by 79

Acute Psychosocial Stress Increases Cognitive-Effort Avoidance

Bogdanov, M., Nitschke, J. P., LoParco, S., Bartz, J. A., & Otto, A. R. (2021) · Psychological Science · doi:10.1177/09567976211005465 · Cited by 73

Nitrous oxide emissions during establishment of eight alternative cellulosic bioenergy cropping systems in the North Central United States

Oates, L. G., Duncan, D. S., Gelfand, I., Millar, N., Robertson, G. P., & Jackson, R. D. (2016) · GCB Bioenergy · doi:10.1111/gcbb.12268 · Cited by 76

The Memory of Environmental Chemical Exposure in C. elegans Is Dependent on the Jumonji Demethylases jmjd-2 and jmjd-3/utx-1

Camacho, J., Truong, L., Kurt, Z., Chen, Y.-W., Morselli, M., Gutierrez, G., Pellegrini, M., Yang, X., & Allard, P. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.04.078 · Cited by 72

Application of methods for central statistical monitoring in clinical trials

Kirkwood, A. A., Cox, T., & Hackshaw, A. (2013) · Clinical Trials · doi:10.1177/1740774513494504 · Cited by 75

Associations between attention-deficit/hyperactivity disorder and autoimmune diseases are modified by sex: a population-based cross-sectional study

Hegvik, T.-A., Instanes, J. T., Haavik, J., Klungsøyr, K., & Engeland, A. (2018) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-017-1056-1 · Cited by 79

Alliance with an unguided smartphone app: validation of the digital working alliance inventory

Goldberg, S. B., Baldwin, S. A., Riordan, K. M., Torous, J., Dahl, C. J., Davidson, R. J., & Hirshberg, M. J. (2022) · Assessment · doi:10.1177/10731911211015310 · Cited by 74

Demography and Rapid Local Adaptation Shape Creole Cattle Genome Diversity in the Tropics

Pitt, D., Bruford, M. W., Barbato, M., Orozco‐terWengel, P., Martínez, R., & Sevane, N. (2019) · Evolutionary Applications · doi:10.1111/eva.12641 · Cited by 79

Episodic future thinking is related to impulsive decision making in healthy adolescents

Bromberg, U., Wiehler, A., & Peters, J. (2015) · Child Development · doi:10.1111/cdev.12390 · Cited by 79

The impact of digital media on children’s intelligence while controlling for genetic differences in cognition and socioeconomic background

Sauce, B., Liebherr, M., Judd, N., & Klingberg, T. (2022) · Scientific Reports · doi:10.1038/s41598-022-11341-2 · Cited by 74

Introduction bias affects relationships between the characteristics of ornamental alien plants and their naturalization success

Maurel, N., Hanspach, J., Kühn, I., Pyšek, P., & van Kleunen, M. (2016) · Global Ecology and Biogeography · doi:10.1111/geb.12520 · Cited by 79

Temperature-Dependent Pre-Bloodmeal Period and Temperature-Driven Asynchrony between Parasite Development and Mosquito Biting Rate Reduce Malaria Transmission Intensity

Paaijmans, K. P., Cator, L. J., & Thomas, M. B. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055777 · Cited by 79

Sex and STEM Occupation Predict Autism-Spectrum Quotient (AQ) Scores in Half a Million People

Ruzich, E., Allison, C., Chakrabarti, B., Smith, P., Musto, H., Ring, H., & Baron-Cohen, S. (2015) · PLOS ONE · doi:10.1371/journal.pone.0141229 · Cited by 79

The relationship between the age at first computer use and students' perceived competence and autonomy in ICT usage: A mediation analysis

Juhaňák, L., Zounek, J., Záleská, K., Bárta, O., & Vlčková, K. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.103614 · Cited by 79

Interactions between cardiac activity and conscious somatosensory perception

Motyka, P., Grund, M., Forschack, N., Al, E., Villringer, A., & Gaebler, M. (2019) · Psychophysiology · doi:10.1111/psyp.13424 · Cited by 79

Conservation of birds in fragmented landscapes requires protected areas

Timmers, R., van Kuijk, M., Verweij, P. A., Ghazoul, J., Hautier, Y., Laurance, W. F., Arriaga‐Weiss, S. L., Askins, R. A., Battisti, C., Berg, Å., et al. (2022) · Frontiers in Ecology and the Environment · doi:10.1002/fee.2485 · Cited by 79

Chemical characterization of the flour of peel and seed from two papaya cultivars

Santos, C. M. D., Abreu, C. M. P. D., Freire, J. M., Queiroz, E. D. R., & Mendonça, M. M. (2014) · Food Science and Technology (Campinas) · doi:10.1590/fst.2014.0048 · Cited by 78

Genotype-by-environment interaction and yield stability analysis of biomass sorghum hybrids using factor analytic models and environmental covariates

Oliveira, I. C. M., Guilhen, J. H. S., Ribeiro, P. C. D. O., Gezan, S. A., Schaffert, R. E., Simeone, M. L. F., Damasceno, C. M. B., Carneiro, J. E. D. S., Carneiro, P. C. S., Parrella, R. A. D. C., et al. (2020) · Field Crops Research · doi:10.1016/j.fcr.2020.107929 · Cited by 78

Tools for integrating inertial sensor data with video bio-loggers, including estimation of animal orientation, motion, and position

Cade, D. E., Gough, W. T., Czapanskiy, M. F., Fahlbusch, J. A., Kahane-Rapport, S. R., Linsky, J. M. J., Nichols, R. C., Oestreich, W. K., Wisniewska, D. M., Friedlaender, A. S., et al. (2021) · Animal Biotelemetry · doi:10.1186/s40317-021-00256-w · Cited by 78

Utility of acoustic indices for ecological monitoring in complex sonic environments

Ross, S. R. P.-J., Friedman, N. R., Yoshimura, M., Yoshida, T., Donohue, I., & Economo, E. P. (2021) · Ecological Indicators · doi:10.1016/j.ecolind.2020.107114 · Cited by 78

Maternal Smoking and Autism Spectrum Disorder: A Meta-analysis

Rosen, B. N., Lee, B. K., Lee, N. L., Yang, Y., & Burstyn, I. (2015) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-014-2327-z · Cited by 78

Shared Predisposition in the Association Between Cannabis Use and Subcortical Brain Structure

Pagliaccio, D., Barch, D. M., Bogdan, R., Wood, P. K., Lynskey, M. T., Heath, A. C., & Agrawal, A. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.1054 · Cited by 77

Coxiella burnetii(Q-Fever) Seroprevalence in Prey and Predators in the United Kingdom: Evaluation of Infection in Wild Rodents, Foxes and Domestic Cats Using a Modified ELISA

Meredith, A. L., Cleaveland, S. C., Denwood, M. J., Brown, J. K., & Shaw, D. J. (2015) · Transboundary and Emerging Diseases · doi:10.1111/tbed.12211 · Cited by 77

Macrofouling communities and the degradation of plastic bags in the sea: an in situ experiment

Pauli, N.-C., Petermann, J. S., Lott, C., & Weber, M. (2017) · Royal Society Open Science · doi:10.1098/rsos.170549 · Cited by 77

Application Programming Interface Documentation: What Do Software Developers Want?

Meng, M., Steinhardt, S., & Schubert, A. (2018) · Journal of Technical Writing and Communication · doi:10.1177/0047281617721853 · Cited by 78

Recovering aspen follow changing elk dynamics in Yellowstone: evidence of a trophic cascade?

Painter, L. E., Beschta, R. L., Larsen, E. J., & Ripple, W. J. (2015) · Ecology · doi:10.1890/14-0712.1 · Cited by 76

First report of the invasive mosquito species Aedes koreicus in the Swiss-Italian border region

Suter, T., Flacio, E., Fariña, B. F., Engeler, L., Tonolla, M., & Müller, P. (2015) · Parasites & Vectors · doi:10.1186/s13071-015-1010-3 · Cited by 80

Identification of Conserved Proteomic Networks in Neurodegenerative Dementia

Swarup, V., Chang, T. S., Duong, D. M., Dammer, E. B., Dai, J., Lah, J. J., Johnson, E. C. B., Seyfried, N. T., Levey, A. I., & Geschwind, D. H. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107807 · Cited by 78

Boops boops as a Bioindicator of Microplastic Pollution along the Spanish Catalan Coast

Garcia-Garin, O., Vighi, M., Aguilar, A., Tsangaris, C., Digka, N., Kaberi, H., & Borrell, A. (2019) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2019.110648 · Cited by 78

Identification of conserved proteomic networks in neurodegenerative dementia

Swarup, V., Chang, T. S., Duong, D. M., Dammer, E. B., Lah, J. J., Johnson, E. E. C. B., Seyfried, N. T., Levey, A. I., & Geschwind, D. H. (2019) · doi:10.1101/825802 · Cited by 78

Unifying structural priming effects on syntactic choices and timing of sentence generation

Segaert, K., Wheeldon, L., & Hagoort, P. (2016) · Journal of Memory and Language · doi:10.1016/j.jml.2016.03.011 · Cited by 78

Per- and polyfluorinated alkyl substances (PFAS) in Pennsylvania surface waters: A statewide assessment, associated sources, and land-use relations

Breitmeyer, S. E., Williams, A. M., Duris, J. W., Eicholtz, L. W., Shull, D. R., Wertz, T. A., & Woodward, E. E. (2023) · Science of The Total Environment · doi:10.1016/j.scitotenv.2023.164161 · Cited by 78

Age, gender, personality, ideological attitudes and individual differences in a person's news spectrum: how many and who might be prone to “filter bubbles” and “echo chambers” online?

Sindermann, C., Elhai, J. D., Moshagen, M., & Montag, C. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e03214 · Cited by 78

Social isolation in rats: effects on animal welfare and molecular markers for neuroplasticity

Begni, V., Sanson, A., Pfeiffer, N., Brandwein, C., Inta, D., Talbot, S. R., Riva, M. A., Gass, P., & Mallien, A. S. (2020) · PLOS ONE · doi:10.1371/journal.pone.0240439 · Cited by 78

Epigenetic alterations of the BDNF gene in combat‐related post‐traumatic stress disorder

Kim, T. Y., Kim, S. J., Chung, H. G., Choi, J. H., Kim, S. H., & Kang, J. I. (2017) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.12675 · Cited by 76

Reproducing Statistical Results

Stodden, V. (2015) · Annual Review of Statistics and Its Application · doi:10.1146/annurev-statistics-010814-020127 · Cited by 77

CopyMean: A new method to predict monotone missing values in longitudinal studies

Genolini, C., Lacombe, A., Écochard, R., & Subtil, F. (2016) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2016.04.010 · Cited by 52

Behavioral signatures related to genetic disorders in autism

Bruining, H., Eijkemans, M. J., Kas, M. J., Curran, S. R., Vorstman, J. A., & Bolton, P. F. (2014) · Molecular Autism · doi:10.1186/2040-2392-5-11 · Cited by 77

Supernatural punishment, in-group biases, and material insecurity: experiments and ethnography from Yasawa, Fiji

McNamara, R. A., Norenzayan, A., & Henrich, J. (2016) · Religion, Brain & Behavior · doi:10.1080/2153599x.2014.921235 · Cited by 77

Mental health care use among children and adolescents in Germany: results of the longitudinal BELLA study

The BELLA study group, Hintzpeter, B., Klasen, F., Schön, G., Voss, C., Hölling, H., & Ravens-Sieberer, U. (2015) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-015-0676-6 · Cited by 77

All Together Now: Concurrent Learning of Multiple Structures in an Artificial Language

Romberg, A. R., & Saffran, J. R. (2013) · Cognitive Science · doi:10.1111/cogs.12050 · Cited by 77

Hybrid multiple-site mass closure and source apportionment of PM2.5 and aerosol acidity at major cities in the Po Valley

Masiol, M., Squizzato, S., Formenton, G., Khan, M. B., Hopke, P. K., Nenes, A., Pandis, S. N., Tositti, L., Benetello, F., Visin, F., et al. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.135287 · Cited by 77

Do Narcissism and Emotional Intelligence Win Us Friends? Modeling Dynamics of Peer Popularity Using Inferential Network Analysis

Czarna, A. Z., Leifeld, P., Śmieja, M., Dufner, M., & Salovey, P. (2016) · Personality and Social Psychology Bulletin · doi:10.1177/0146167216666265 · Cited by 76

Influence of iron and aeration on Staphylococcus aureus growth, metabolism, and transcription

Ledala, N., Zhang, B., Seravalli, J., Powers, R., & Somerville, G. A. (2014) · Journal of Bacteriology · doi:10.1128/jb.01475-14 · Cited by 74

Moths are strongly attracted to ultraviolet and blue radiation

Brehm, G., Niermann, J., Jaimes Nino, L. M., Enseling, D., Jüstel, T., Axmacher, J. C., Warrant, E., & Fiedler, K. (2021) · Insect Conservation and Diversity · doi:10.1111/icad.12476 · Cited by 76

Patterns of cell cycle checkpoint deregulation associated with intrinsic molecular subtypes of human breast cancer cells

Bower, J. J., Vance, L. D., Psioda, M., Smith-Roe, S. L., Simpson, D. A., Ibrahim, J. G., Hoadley, K. A., Perou, C. M., & Kaufmann, W. K. (2017) · npj Breast Cancer · doi:10.1038/s41523-017-0009-7 · Cited by 76

Evaluation of the effectiveness of mass trapping with BG-sentinel traps for dengue vector control: a cluster randomized controlled trial in Manaus, Brazil

Degener, C. M., Eiras, Á. E., Ázara, T. M. F., Roque, R. A., Rösner, S., Codeço, C. T., Nobre, A. A., Rocha, E. S. O., Kroon, E. G., Ohly, J. J., et al. (2014) · Journal of Medical Entomology · doi:10.1603/me13107 · Cited by 76

Laminar dynamics of high amplitude beta bursts in human motor cortex

Bonaiuto, J. J., Little, S., Neymotin, S. A., Jones, S. R., Barnes, G. R., & Bestmann, S. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118479 · Cited by 76

Convergence of ion channel genome content in early animal evolution

Liebeskind, B. J., Hillis, D. M., & Zakon, H. H. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1501195112 · Cited by 76

A mineralogical signature for Burgess Shale–type fossilization

Anderson, R. P., Tosca, N. J., Gaines, R. R., Mongiardino Koch, N., & Briggs, D. E. G. (2018) · Geology · doi:10.1130/g39941.1 · Cited by 76

Survival Prediction Models since Liver Transplantation - Comparisons between Cox Models and Machine Learning Techniques

Kantidakis, G., Putter, H., Lancia, C., Boer, J. D., Braat, A. E., & Fiocco, M. (2020) · BMC Medical Research Methodology · doi:10.1186/s12874-020-01153-1 · Cited by 75

The relationship between Internet Use Disorder, depression and burnout among Chinese and German college students

Peterka-Bonetta, J., Sindermann, C., Sha, P., Zhou, M., & Montag, C. (2019) · Addictive Behaviors · doi:10.1016/j.addbeh.2018.08.011 · Cited by 76

Progressive development of endometriosis and its hindrance by anti-platelet treatment in mice with induced endometriosis

Zhang, Q., Liu, X., & Guo, S.-W. (2017) · Reproductive BioMedicine Online · doi:10.1016/j.rbmo.2016.11.006 · Cited by 76

Evolution of a Length Polymorphism in the Human PER3 Gene, a Component of the Circadian System

Nadkarni, N. A., Weale, M. E., von Schantz, M., & Thomas, M. G. (2005) · Journal of Biological Rhythms · doi:10.1177/0748730405281332 · Cited by 76

Isoflurane disrupts excitatory neurotransmitter dynamics via inhibition of mitochondrial complex I

Zimin, P. I., Woods, C. B., Kayser, E. B., Ramirez, J. M., Morgan, P. G., & Sedensky, M. M. (2018) · British Journal of Anaesthesia · doi:10.1016/j.bja.2018.01.036 · Cited by 76

Prediction of remission in obsessive compulsive disorder using a novel machine learning strategy

Askland, K. D., Garnaat, S., Sibrava, N. J., Boisseau, C. L., Strong, D., Mancebo, M., Greenberg, B., Rasmussen, S., & Eisen, J. (2015) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1463 · Cited by 75

Estimating Population Mean Power Under Conditions of Heterogeneity and Selection for Significance

Brunner, J., & Schimmack, U. (2020) · Meta-Psychology · doi:10.15626/mp.2018.874 · Cited by 76

Intra-oral myofascial therapy versus education and self-care in the treatment of chronic, myogenous temporomandibular disorder: a randomised, clinical trial

Kalamir, A., Graham, P. L., Vitiello, A. L., Bonello, R., & Pollard, H. (2013) · Chiropractic & Manual Therapies · doi:10.1186/2045-709x-21-17 · Cited by 76

Reproductive isolation and introgression between sympatric Mimulus species

Kenney, A. M., & Sweigart, A. L. (2016) · Molecular Ecology · doi:10.1111/mec.13630 · Cited by 76

Judgments of learning (JOLs) selectively improve memory depending on the type of test

Myers, S. J., Rhodes, M. G., & Hausman, H. E. (2020) · Memory & Cognition · doi:10.3758/s13421-020-01025-5 · Cited by 76

Genome-wide screen reveals Rab12 GTPase as a critical activator of Parkinson’s disease-linked LRRK2 kinase

Dhekne, H. S., Tonelli, F., Yeshaw, W. M., Chiang, C. Y., Limouse, C., Jaimon, E., Purlyte, E., Alessi, D. R., & Pfeffer, S. R. (2023) · eLife · doi:10.7554/elife.87098 · Cited by 76

Native vegetation in reclamation: Improving habitat and ecosystem function through using prairie species in mine land reclamation

Swab, R. M., Lorenz, N., Byrd, S., & Dick, R. (2017) · Ecological Engineering · doi:10.1016/j.ecoleng.2017.05.012 · Cited by 75

Reduced heart rate variability in schizophrenia and bipolar disorder compared to healthy controls

Quintana, D. S., Westlye, L. T., Kaufmann, T., Rustan, Ø. G., Brandt, C. L., Haatveit, B., Steen, N. E., & Andreassen, O. A. (2016) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.12498 · Cited by 73

An integrated flow cytometry-based platform for isolation and molecular characterization of circulating tumor single cells and clusters

Bhagwat, N., Dulmage, K., Pletcher, C. H., Wang, L., DeMuth, W., Sen, M., Balli, D., Yee, S. S., Sa, S., Tong, F., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-23217-5 · Cited by 75

The effect of the microalgae-bacteria microbiome on wastewater treatment and biomass production

Paddock, M. B., Fernández-Bayo, J. D., & VanderGheynst, J. S. (2020) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-019-10246-x · Cited by 73

Meta-analysis of virtual reality exposure therapy for social anxiety disorder

Morina, N., Kampmann, I., Emmelkamp, P., Barbui, C., & Hoppen, T. H. (2023) · Psychological Medicine · doi:10.1017/s0033291721001690 · Cited by 75

Piloting a mental health training programme for community health workers in South Africa: an exploration of changes in knowledge, confidence and attitudes

Sibeko, G., Milligan, P. D., Roelofse, M., Molefe, L., Jonker, D., Ipser, J., Lund, C., & Stein, D. J. (2018) · BMC Psychiatry · doi:10.1186/s12888-018-1772-1 · Cited by 72

Space-based bias of covert visual attention in complex regional pain syndrome

Bultitude, J. H., Walker, I., & Spence, C. (2017) · Brain · doi:10.1093/brain/awx152 · Cited by 68

Maternal adversities during pregnancy and cord blood oxytocin receptor (OXTR) DNA methylation

Unternaehrer, E., Bolten, M., Nast, I., Staehli, S., Meyer, A. H., Dempster, E., Hellhammer, D. H., Lieb, R., & Meinlschmidt, G. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw051 · Cited by 75

Conservation or Co-evolution? Intermediate Levels of Aboriginal Burning and Hunting Have Positive Effects on Kangaroo Populations in Western Australia

Codding, B. F., Bliege Bird, R., Kauhanen, P. G., & Bird, D. W. (2014) · Human Ecology · doi:10.1007/s10745-014-9682-4 · Cited by 75

The treatment of posttraumatic stress symptoms and aggression in female former child soldiers using adapted Narrative Exposure therapy—A RCT in Eastern Democratic Republic of Congo

Robjant, K., Koebach, A., Schmitt, S., Chibashimba, A., Carleial, S., & Elbert, T. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2019.103482 · Cited by 76

Integrated analysis of behavioral, epigenetic, and gut microbiome analyses in AppNL-G-F, AppNL-F, and wild type mice

Kundu, P., Torres, E. R. S., Stagaman, K., Kasschau, K., Okhovat, M., Holden, S., Ward, S., Nevonen, K. A., Davis, B. A., Saito, T., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-83851-4 · Cited by 75

An online learning approach to eliminate Bus Bunching in real-time

Moreira-Matias, L., Cats, O., Gama, J., Mendes-Moreira, J., & de Sousa, J. F. (2016) · Applied Soft Computing · doi:10.1016/j.asoc.2016.06.031 · Cited by 75

Detection of a Novel, Integrative Aging Process Suggests Complex Physiological Integration

Cohen, A. A., Milot, E., Li, Q., Bergeron, P., Poirier, R., Dusseault-Bélanger, F., Fülöp, T., Leroux, M., Legault, V., Metter, E. J., et al. (2015) · PLOS ONE · doi:10.1371/journal.pone.0116489 · Cited by 75

The effects of data sources, cohort selection, and outcome definition on a predictive model of risk of thirty-day hospital readmissions

Walsh, C., & Hripcsak, G. (2014) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2014.08.006 · Cited by 75

A potential endophenotype for Alzheimer's disease: cerebrospinal fluid clusterin

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Sleep influences daily suicidal ideation through affective reactivity to interpersonal events among high‐risk adolescents and young adults

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