R: A Language and Environment for Statistical Computing

Undesirable effects of threatening climate change information: A cross-cultural study

Uhl, I., Klackl, J., Hansen, N., & Jonas, E. (2018) · Group Processes & Intergroup Relations · doi:10.1177/1368430217735577 · Cited by 56

The application of metacommunity theory to the management of riverine ecosystems

Patrick, C. J., Anderson, K. E., Brown, B. L., Hawkins, C. P., Metcalfe, A., Saffarinia, P., Siqueira, T., Swan, C. M., Tonkin, J. D., & Yuan, L. L. (2021) · WIREs Water · doi:10.1002/wat2.1557 · Cited by 56

Longitudinal Developmental Outcomes after Traumatic Brain Injury in Young Children: Are Infants More Vulnerable Than Toddlers?

Keenan, H. T., Presson, A. P., Clark, A. E., Cox, C. S., & Ewing-Cobbs, L. (2019) · Journal of Neurotrauma · doi:10.1089/neu.2018.5687 · Cited by 56

Patterns of Romantic Relationship Experiences and Psychosocial Adjustment From Adolescence to Young Adulthood

Gonzalez Avilés, T., Finn, C., & Neyer, F. J. (2021) · Journal of Youth and Adolescence · doi:10.1007/s10964-020-01350-7 · Cited by 57

Newborn adiposity and cord blood C-peptide as mediators of the maternal metabolic environment and childhood adiposity

Josefson, J. L., Scholtens, D. M., Kuang, A., Catalano, P. M., Lowe, L. P., Dyer, A. R., Petito, L. C., Lowe, W. L., Metzger, B. E., HAPO Follow-up Study Cooperative Research Group, et al. (2021) · Diabetes Care · doi:10.2337/dc20-2398 · Cited by 55

Impact of Cortisol on Reduction in Muscle Strength and Mass: A Mendelian Randomization Study

Katsuhara, S., Yokomoto-Umakoshi, M., Umakoshi, H., Matsuda, Y., Iwahashi, N., Kaneko, H., Ogata, M., Fukumoto, T., Terada, E., Sakamoto, R., et al. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgab862 · Cited by 55

Common and heritable components of white matter microstructure predict cognitive function at 1 and 2 y

Lee, S. J., Steiner, R. J., Yu, Y., Short, S. J., Neale, M. C., Styner, M. A., Zhu, H., & Gilmore, J. H. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1604658114 · Cited by 51

An experience sampling approach to emotion regulation: situational suppression use and social hierarchy

Catterson, A. D., Eldesouky, L., & John, O. P. (2017) · Journal of Research in Personality · doi:10.1016/j.jrp.2016.04.004 · Cited by 53

Infidelity and Behavioral Couple Therapy: Relationship Outcomes Over 5 Years Following Therapy

Marín, R. A., Christensen, A., & Atkins, D. C. (2014) · Couple and Family Psychology: Research and Practice · doi:10.1037/cfp0000012 · Cited by 55

Progressive agrammatic aphasia without apraxia of speech as a distinct syndrome

Tetzloff, K. A., Duffy, J. R., Clark, H. M., Utianski, R. L., Strand, E. A., Machulda, M. M., Botha, H., Martin, P. R., Schwarz, C. G., Senjem, M. L., et al. (2019) · Brain · doi:10.1093/brain/awz157 · Cited by 55

Early goal-directed therapy for severe sepsis and septic shock: A living systematic review

Simpson, S. Q., Gaines, M., Hussein, Y., & Badgett, R. G. (2016) · Journal of Critical Care · doi:10.1016/j.jcrc.2016.06.017 · Cited by 55

Sniff and mimic–Intranasal oxytocin increases facial mimicry in a sample of men

Korb, S., Malsert, J., Strathearn, L., Vuilleumier, P., & Niedenthal, P. (2016) · Hormones and Behavior · doi:10.1016/j.yhbeh.2016.06.003 · Cited by 54

A model-based approach to the tempo of “collapse”: The case of Rapa Nui (Easter Island)

DiNapoli, R. J., Rieth, T. M., Lipo, C. P., & Hunt, T. L. (2020) · Journal of Archaeological Science · doi:10.1016/j.jas.2020.105094 · Cited by 54

A phylogenomic supermatrix of Galliformes (Landfowl) reveals biased branch lengths

Kimball, R. T., Hosner, P. A., & Braun, E. L. (2021) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2021.107091 · Cited by 53

Muskoxen Modify Plant Abundance, Phenology, and Nitrogen Dynamics in a High Arctic Fen

Mosbacher, J. B., Michelsen, A., Stelvig, M., Hjermstad-Sollerud, H., & Schmidt, N. M. (2019) · Ecosystems · doi:10.1007/s10021-018-0323-4 · Cited by 55

Compliance in ambulatory assessment studies: investigating study and sample characteristics as predictors

Ottenstein, C., & Werner, L. (2022) · Assessment · doi:10.1177/10731911211032718 · Cited by 52

Energy drink consumption and the risk of alcohol use disorder among a national sample of adolescents and young adults

Emond, J. A., Gilbert-Diamond, D., Tanski, S. E., & Sargent, J. D. (2014) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2014.08.050 · Cited by 56

Evolutionary modeling and correcting for observation error support a 3/5 brain-body allometry for primates

Grabowski, M., Voje, K. L., & Hansen, T. F. (2016) · Journal of Human Evolution · doi:10.1016/j.jhevol.2016.03.001 · Cited by 55

Correction of scan time dependence of standard uptake values in oncological PET

van den Hoff, J., Lougovski, A., Schramm, G., Maus, J., Oehme, L., Petr, J., Beuthien-Baumann, B., Kotzerke, J., & Hofheinz, F. (2014) · EJNMMI Research · doi:10.1186/2191-219x-4-18 · Cited by 55

Metabolic engineering of Bacillus subtilis for growth on overflow metabolites

Kabisch, J., Pratzka, I., Meyer, H., Albrecht, D., Lalk, M., Ehrenreich, A., & Schweder, T. (2013) · Microbial Cell Factories · doi:10.1186/1475-2859-12-72 · Cited by 55

Multi cell line analysis of lysosomal proteomes reveals unique features and novel lysosomal proteins

Akter, F., Ponnaiyan, S., Kögler-Mohrbacher, B., Bleibaum, F., Damme, M., Renard, B. Y., & Winter, D. (2020) · doi:10.1101/2020.12.21.423747 · Cited by 55

Habitat Hydrology and Geomorphology Control the Distribution of Malaria Vector Larvae in Rural Africa

Hardy, A. J., Gamarra, J. G. P., Cross, D. E., Macklin, M. G., Smith, M. W., Kihonda, J., Killeen, G. F., Ling’ala, G. N., & Thomas, C. J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0081931 · Cited by 55

Chinese L1 children's English L2 verb morphology over time: individual variation in long-term outcomes

PARADIS, J., TULPAR, Y., & ARPPE, A. (2016) · Journal of Child Language · doi:10.1017/s0305000915000562 · Cited by 55

Multi–Cell Line Analysis of Lysosomal Proteomes Reveals Unique Features and Novel Lysosomal Proteins

(2023) · doi:10.1016/j.mcpro.2023.100509 · Cited by 55

A house with a view? multi-model inference, visibility fields, and point process analysis of a Bronze age settlement on Leskernick Hill (Cornwall, UK)

Eve, S. J., & Crema, E. R. (2014) · Journal of Archaeological Science · doi:10.1016/j.jas.2013.12.019 · Cited by 55

A complete workflow for the differentiation and the dissociation of hiPSC-derived cardiospheres

Fischer, B., Meier, A., Dehne, A., Salhotra, A., Tran, T. A., Neumann, S., Schmidt, K., Meiser, I., Neubauer, J. C., Zimmermann, H., et al. (2018) · Stem Cell Research · doi:10.1016/j.scr.2018.08.015 · Cited by 50

The calcium-binding protein parvalbumin modulates the firing 1 properties of the reticular thalamic nucleus bursting neurons

Albéri, L., Lintas, A., Kretz, R., Schwaller, B., & Villa, A. E. P. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00375.2012 · Cited by 49

Nitrogen Fertilization Effects on Productivity and Nitrogen Loss in Three Grass-Based Perennial Bioenergy Cropping Systems

Duran, B. E. L., Duncan, D. S., Oates, L. G., Kucharik, C. J., & Jackson, R. D. (2016) · PLOS ONE · doi:10.1371/journal.pone.0151919 · Cited by 53

Saliva oxytocin measures do not reflect peripheral plasma concentrations after intranasal oxytocin administration in men

Quintana, D. S., Westlye, L. T., Smerud, K. T., Mahmoud, R. A., Andreassen, O. A., & Djupesland, P. G. (2018) · Hormones and Behavior · doi:10.1016/j.yhbeh.2018.05.004 · Cited by 52

Prevention of posttraumatic stress disorder with propranolol: A meta-analytic review

Argolo, F. C., Cavalcanti-Ribeiro, P., Netto, L. R., & Quarantini, L. C. (2015) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2015.04.006 · Cited by 53

Everyone Does It—Differently: A Window into Emerging Adults’ Smartphone Use

Griffioen, N., Scholten, H., Lichtwarck-Aschoff, A., van Rooij, M., & Granic, I. (2021) · Humanities and Social Sciences Communications · doi:10.1057/s41599-021-00863-1 · Cited by 51

Do reporting guidelines have an impact? Empirical assessment of changes in reporting before and after the PRISMA extension statement for network meta-analysis

Veroniki, A. A., Tsokani, S., Zevgiti, S., Pagkalidou, I., Kontouli, K.-M., Ambarcioglu, P., Pandis, N., Lunny, C., Nikolakopoulou, A., Papakonstantinou, T., et al. (2021) · Systematic Reviews · doi:10.1186/s13643-021-01780-9 · Cited by 53

Group metacognitive therapy for repetitive negative thinking in primary and non-primary generalized anxiety disorder: An effectiveness trial

McEvoy, P. M., Erceg-Hurn, D. M., Anderson, R. A., Campbell, B. N. C., Swan, A., Saulsman, L. M., Summers, M., & Nathan, P. R. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.12.046 · Cited by 54

Implicit identification with death predicts change in suicide ideation during psychiatric treatment in adolescents

Glenn, C. R., Kleiman, E. M., Coppersmith, D. D. L., Santee, A. C., Esposito, E. C., Cha, C. B., Nock, M. K., & Auerbach, R. P. (2017) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12769 · Cited by 54

ATHENA: the analysis tool for heritable and environmental network associations

Holzinger, E. R., Dudek, S. M., Frase, A. T., Pendergrass, S. A., & Ritchie, M. D. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt572 · Cited by 54

Impact of biochemical composition on susceptibility of algal biomass to acid-catalyzed pretreatment for sugar and lipid recovery

Dong, T., Van Wychen, S., Nagle, N., Pienkos, P. T., & Laurens, L. M. L. (2016) · Algal Research · doi:10.1016/j.algal.2016.06.004 · Cited by 54

12-Months metabolic changes among gender dysphoric individuals under cross-sex hormone treatment: a targeted metabolomics study

Auer, M. K., Cecil, A., Roepke, Y., Bultynck, C., Pas, C., Fuss, J., Prehn, C., Wang-Sattler, R., Adamski, J., Stalla, G. K., et al. (2016) · Scientific Reports · doi:10.1038/srep37005 · Cited by 54

Variation and signatures of selection on the human face

Guo, J., Tan, J., Yang, Y., Zhou, H., Hu, S., Hashan, A., Bahaxar, N., Xu, S., Weaver, T. D., Jin, L., et al. (2014) · Journal of Human Evolution · doi:10.1016/j.jhevol.2014.08.001 · Cited by 54

Process knowledge based multi-class support vector classification (PK-MSVM) approach for surface defects in hot rolling

Agarwal, K., Shivpuri, R., Zhu, Y., Chang, T.-S., & Huang, H. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.12.026 · Cited by 54

Sex Difference in the Association of APOE4 with Memory Decline in Mild Cognitive Impairment

Wang, X., Zhou, W., Ye, T., Lin, X., Zhang, J., & Initiative, F. A. D. N. (2019) · Journal of Alzheimer’s Disease · doi:10.3233/jad-181234 · Cited by 51

The association between child maltreatment and pathological narcissism: A three-level meta-analytic review

Gao, S., Yu, D., Assink, M., Chan, K. L., Zhang, L., & Meng, X. (2024) · Trauma, Violence, & Abuse · doi:10.1177/15248380221147559 · Cited by 54

Perception of dynamic facial expressions of emotion between dogs and humans

Correia-Caeiro, C., Guo, K., & Mills, D. S. (2020) · Animal Cognition · doi:10.1007/s10071-020-01348-5 · Cited by 55

Shift in Tuna Catches Due to Ocean Warming

Monllor-Hurtado, A., Pennino, M. G., & Sanchez-Lizaso, J. L. (2017) · PLoS ONE · doi:10.1371/journal.pone.0178196 · Cited by 54

Epigenome-Wide Association Study of Cognitive Functioning in Middle-Aged Monozygotic Twins

Starnawska, A., Tan, Q., McGue, M., Mors, O., Børglum, A. D., Christensen, K., Nyegaard, M., & Christiansen, L. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00413 · Cited by 54

Low scaling of a life history variable: analysing eutherian gestation periods with and without phylogeny-informed statistics

Clauss, M., Dittmann, M. T., Müller, D. W. H., Zerbe, P., & Codron, D. (2014) · Mammalian Biology · doi:10.1016/j.mambio.2013.01.002 · Cited by 54

Trophic sensitivity of invasive predator and native prey interactions: integrating environmental context and climate change

Cheng, B. S., Komoroske, L. M., & Grosholz, E. D. (2017) · Functional Ecology · doi:10.1111/1365-2435.12759 · Cited by 54

Lexical quality and executive control predict children’s first and second language reading comprehension

Raudszus, H., Segers, E., & Verhoeven, L. (2018) · Reading and Writing · doi:10.1007/s11145-017-9791-8 · Cited by 54

Longitudinal direct medical costs associated with constipation in women: Constipation direct costs in women

Choung, R. S., Branda, M. E., Chitkara, D., Shah, N. D., Katusic, S. K., Locke III, G. R., & Talley, N. J. (2011) · Alimentary Pharmacology & Therapeutics · doi:10.1111/j.1365-2036.2010.04513.x · Cited by 53

Climatic and genetic controls of yields of switchgrass, a model bioenergy species

Tulbure, M. G., Wimberly, M. C., Boe, A., & Owens, V. N. (2012) · Agriculture, Ecosystems & Environment · doi:10.1016/j.agee.2011.10.017 · Cited by 52

Diet of the introduced red fox Vulpes vulpes in Australia: analysis of temporal and spatial patterns

Fleming, P. A., Crawford, H. M., Stobo‐Wilson, A. M., Dawson, S. J., Dickman, C. R., Dundas, S. J., Gentle, M. N., Newsome, T. M., O’Connor, J., Palmer, R., et al. (2021) · Mammal Review · doi:10.1111/mam.12251 · Cited by 53

Conserved Translatome Remodeling in Nematode Species Executing a Shared Developmental Transition

Stadler, M., & Fire, A. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003739 · Cited by 53

Two-Year Impact of Prevention Programs on Adolescent Depression: an Integrative Data Analysis Approach

Brown, C. H., Brincks, A., Huang, S., Perrino, T., Cruden, G., Pantin, H., Howe, G., Young, J. F., Beardslee, W., Montag, S., et al. (2018) · Prevention Science · doi:10.1007/s11121-016-0737-1 · Cited by 53

Quality of greywater treated in biochar filter and risk assessment of gastroenteritis due to household exposure during maintenance and irrigation

Dalahmeh, S. S., Lalander, C., Pell, M., Vinnerås, B., & Jönsson, H. (2016) · Journal of Applied Microbiology · doi:10.1111/jam.13273 · Cited by 53

Heritability of aggression following social evaluation in middle childhood: An fMRI study

Achterberg, M., van Duijvenvoorde, A. C. K., van der Meulen, M., Bakermans‐Kranenburg, M. J., & Crone, E. A. (2018) · Human Brain Mapping · doi:10.1002/hbm.24043 · Cited by 51

Empowerment, PTSD and revictimization among women who have experienced intimate partner violence

Dardis, C. M., Dichter, M. E., & Iverson, K. M. (2018) · Psychiatry Research · doi:10.1016/j.psychres.2018.05.034 · Cited by 53

Risk of atrial fibrillation, stroke, and death after radiofrequency catheter ablation of typical atrial flutter

Seara, J. G., Roubin, S. R., Gude Sampedro, F., Barreiro, V. B., Sande, J. M., Mañero, M. R., Grandio, P. C., Alvarez, B., & Juanatey, J. G. (2014) · Clinical Research in Cardiology · doi:10.1007/s00392-014-0682-6 · Cited by 53

Effects of brew strength, brew yield, and roast on the sensory quality of drip brewed coffee

Frost, S. C., Ristenpart, W. D., & Guinard, J. (2020) · Journal of Food Science · doi:10.1111/1750-3841.15326 · Cited by 52

Impacts of land use change due to biofuel crops on climate regulation services: Five case studies in Malawi, Mozambique and Swaziland

Romeu-Dalmau, C., Gasparatos, A., von Maltitz, G., Graham, A., Almagro-Garcia, J., Wilebore, B., & Willis, K. J. (2018) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2016.05.011 · Cited by 53

Developing and validating a perinatal depression screening tool in Kenya blending Western criteria with local idioms: a mixed methods study

Green, E. P., Tuli, H., Kwobah, E., Menya, D., Chesire, I., & Schmidt, C. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.11.027 · Cited by 53

SpeakApp-Kids! Virtual reality training to reduce fear of public speaking in children–A proof of concept

Sülter, R. E., Ketelaar, P. E., & Lange, W.-G. (2022) · Computers & Education · doi:10.1016/j.compedu.2021.104384 · Cited by 52

Long-Term Effect of Weight Regain Following Behavioral Weight Management Programs on Cardiometabolic Disease Incidence and Risk: Systematic Review and Meta-Analysis

Hartmann-Boyce, J., Theodoulou, A., Oke, J. L., Butler, A. R., Bastounis, A., Dunnigan, A., Byadya, R., Cobiac, L. J., Scarborough, P., Hobbs, F. D. R., et al. (2023) · Circulation: Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.122.009348 · Cited by 53

Online Mindfulness May Target Psychological Distress and Mental Health during COVID-19

Farris, S. R., Grazzi, L., Holley, M., Dorsett, A., Xing, K., Pierce, C. R., Estave, P. M., O’Connell, N., & Wells, R. E. (2021) · Global Advances in Health and Medicine · doi:10.1177/21649561211002461 · Cited by 53

Personalized networks of social anxiety disorder and depression and implications for treatment

Piccirillo, M. L., & Rodebaugh, T. L. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.10.034 · Cited by 53

Catchment-scale stream temperature response to land disturbance by wildfire governed by surface–subsurface energy exchange and atmospheric controls

Wagner, M. J., Bladon, K. D., Silins, U., Williams, C. H. S., Martens, A. M., Boon, S., MacDonald, R. J., Stone, M., Emelko, M. B., & Anderson, A. (2014) · Journal of Hydrology · doi:10.1016/j.jhydrol.2014.05.006 · Cited by 53

Probabilistic modelling for incorporating uncertainty in least cost path results: a postdictive roman road case study

Lewis, J. (2021) · Journal of Archaeological Method and Theory · doi:10.1007/s10816-021-09522-w · Cited by 53

The Structure of Distress Tolerance and Neighboring Emotion Regulation Abilities

Conway, C. C., Naragon-Gainey, K., & Harris, M. T. (2021) · Assessment · doi:10.1177/1073191120954914 · Cited by 53

Studying the relationship between anxiety and school achievement: evidence from PISA data

(2021) · doi:10.1007/s10260-021-00563-9 · Cited by 53

Reconciling the Log-Linear and Non–Log-Linear Nature of the TSH-Free T4 Relationship: Intra-Individual Analysis of a Large Population

Rothacker, K. M., Brown, S. J., Hadlow, N. C., Wardrop, R., & Walsh, J. P. (2016) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2015-4011 · Cited by 51

Costs for switching partners reduce network dynamics but not cooperative behaviour

Bednarik, P., Fehl, K., & Semmann, D. (2014) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2014.1661 · Cited by 49

Greywater production in airports: Qualitative and quantitative assessment

do Couto, E. D. A., Calijuri, M. L., Assemany, P. P., Santiago, A. D. F., & Carvalho, I. D. C. (2013) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2013.05.004 · Cited by 51

Data sharing—trialists' plans at registration, attitudes, barriers and facilitators: A cohort study and cross‐sectional survey

Tan, A. C., Askie, L. M., Hunter, K. E., Barba, A., Simes, R. J., & Seidler, A. L. (2021) · Research Synthesis Methods · doi:10.1002/jrsm.1500 · Cited by 48

Epidemic and endemic malaria transmission related to fish farming ponds in the Amazon frontier

Reis, I. C. D., Honório, N. A., Barros, F. S. M. D., Barcellos, C., Kitron, U., Camara, D. C. P., Pereira, G. R., Keppeler, E. C., da Silva-Nunes, M., & Codeço, C. T. (2015) · PLOS ONE · doi:10.1371/journal.pone.0137521 · Cited by 50

Physical Activity and Mortality: Is the Association Explained by Genetic Selection?

Carlsson, S., Andersson, T., Lichtenstein, P., Michaelsson, K., & Ahlbom, A. (2007) · American Journal of Epidemiology · doi:10.1093/aje/kwm132 · Cited by 51

Heritable variation, with little or no maternal effect, accounts for recurrence risk to autism spectrum disorder in Sweden

Yip, B. H. K., Bai, D., Mahjani, B., Klei, L., Pawitan, Y., Hultman, C. M., Grice, D. E., Roeder, K., Buxbaum, J. D., Devlin, B., et al. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.09.007 · Cited by 46

A systematic review and meta-analysis of altered electrophysiological markers of performance monitoring in Obsessive-Compulsive Disorder (OCD), Gilles de la Tourette Syndrome (GTS), Attention-Deficit/Hyperactivity disorder (ADHD) and Autism

Bellato, A., Norman, L., Idrees, I., Ogawa, C. Y., Waitt, A., Zuccolo, P. F., Tye, C., Radua, J., Groom, M. J., & Shephard, E. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.10.018 · Cited by 49

Modelling the effects of low indoor temperatures on the lung function of children with asthma

Pierse, N., Arnold, R., Keall, M., Howden-Chapman, P., Crane, J., Cunningham, M., & the Heating Housing and Health Study Group (2013) · Journal of Epidemiology and Community Health · doi:10.1136/jech-2013-202632 · Cited by 52

Drowning in the flood of information: a meta-analysis on the relation between information overload, behaviour, experience, and health and moderating factors

Graf, B., & Antoni, C. H. (2023) · European Journal of Work and Organizational Psychology · doi:10.1080/1359432x.2022.2118051 · Cited by 52

Human-machine plan conflict and conflict resolution in a visual search task

Pan, Y., & Xu, J. (2025) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2024.103377 · Cited by 54

Trifactor Models for Multiple-Ratings Data

Shin, H. J., Rabe-Hesketh, S., & Wilson, M. (2019) · Multivariate Behavioral Research · doi:10.1080/00273171.2018.1530091 · Cited by 52

Ecotoxicology is not normal: A comparison of statistical approaches for analysis of count and proportion data in ecotoxicology

Szöcs, E., & Schäfer, R. B. (2015) · Environmental Science and Pollution Research · doi:10.1007/s11356-015-4579-3 · Cited by 52

Large language models overcome the challenges of unstructured text data in ecology

Castro, A., Pinto, J., Reino, L., Pipek, P., & Capinha, C. (2024) · Ecological Informatics · doi:10.1016/j.ecoinf.2024.102742 · Cited by 52

Global Change and Response of Coastal Dune Plants to the Combined Effects of Increased Sand Accretion (Burial) and Nutrient Availability

Frosini, S., Lardicci, C., & Balestri, E. (2012) · PLoS ONE · doi:10.1371/journal.pone.0047561 · Cited by 52

Genome-Wide and Paternal Diversity Reveal a Recent Origin of Human Populations in North Africa

Fadhlaoui-Zid, K., Haber, M., Martínez-Cruz, B., Zalloua, P., Benammar Elgaaied, A., & Comas, D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0080293 · Cited by 52

Krill space: a comparative assessment of mesoscale structuring in polar and temperate marine ecosystems

Santora, J. A., Sydeman, W. J., Schroeder, I. D., Reiss, C. S., Wells, B. K., Field, J. C., Cossio, A. M., & Loeb, V. J. (2012) · ICES Journal of Marine Science · doi:10.1093/icesjms/fss048 · Cited by 52

The association between type 2 diabetes and attention- deficit/hyperactivity disorder: a systematic review, meta-analysis, and population-based sibling study

Garcia-Argibay, M., Li, L., Du Rietz, E., Zhang, L., Yao, H., Jendle, J., Ramos-Quiroga, J. A., Ribasés, M., Chang, Z., Brikell, I., et al. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105076 · Cited by 52

In Vivo Chimeric Alzheimer’s Disease Modeling of Apolipoprotein E4 Toxicity in Human Neurons

Najm, R., Zalocusky, K. A., Zilberter, M., Yoon, S. Y., Hao, Y., Koutsodendris, N., Nelson, M., Rao, A., Taubes, A., Jones, E. A., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107962 · Cited by 52

Socio-ecological factors correlate with levels of stereotypic behavior in zoo-housed primates

Pomerantz, O., Meiri, S., & Terkel, J. (2013) · Behavioural Processes · doi:10.1016/j.beproc.2013.05.005 · Cited by 52

Predictions of the SARS-CoV-2 Omicron Variant (B.1.1.529) Spike Protein Receptor-Binding Domain Structure and Neutralizing Antibody Interactions

Ford, C. T., Jacob Machado, D., & Janies, D. A. (2022) · Frontiers in Virology · doi:10.3389/fviro.2022.830202 · Cited by 52

Parental Age and Offspring Psychopathology in the Philadelphia Neurodevelopmental Cohort

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