R: A Language and Environment for Statistical Computing

Body mass estimation in non-avian bipeds using a theoretical conversion to quadruped stylopodial proportions

Campione, N. E., Evans, D. C., Brown, C. M., & Carrano, M. T. (2014) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12226 · Cited by 208

Accuracy of genomewide selection for different traits with constant population size, heritability, and number of markers

Combs, E., & Bernardo, R. (2013) · The Plant Genome · doi:10.3835/plantgenome2012.11.0030 · Cited by 208

Climate change and community disassembly: impacts of warming on tropical and temperate montane community structure

Sheldon, K. S., Yang, S., & Tewksbury, J. J. (2011) · Ecology Letters · doi:10.1111/j.1461-0248.2011.01689.x · Cited by 200

Development and evaluation of a machine learning model for the early identification of patients at risk for sepsis

Delahanty, R. J., Alvarez, J., Flynn, L. M., Sherwin, R. L., & Jones, S. S. (2019) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2018.11.036 · Cited by 206

Analgesic effects of alcohol: a systematic review and meta-analysis of controlled experimental studies in healthy participants

Thompson, T., Oram, C., Correll, C. U., Tsermentseli, S., & Stubbs, B. (2017) · The Journal of Pain · doi:10.1016/j.jpain.2016.11.009 · Cited by 202

A meta-analysis of social networking online and social capital

Liu, D., Ainsworth, S. E., & Baumeister, R. F. (2016) · Review of General Psychology · doi:10.1037/gpr0000091 · Cited by 205

Preventing the development of depression at work: a systematic review and meta-analysis of universal interventions in the workplace

Tan, L., Wang, M.-J., Modini, M., Joyce, S., Mykletun, A., Christensen, H., & Harvey, S. B. (2014) · BMC Medicine · doi:10.1186/1741-7015-12-74 · Cited by 208

Dynamic predictive clothing insulation models based on outdoor air and indoor operative temperatures

Schiavon, S., & Lee, K. H. (2013) · Building and Environment · doi:10.1016/j.buildenv.2012.08.024 · Cited by 208

Modeling continuous response variables using ordinal regression

Liu, Q., Shepherd, B. E., Li, C., & Harrell, F. E. (2017) · Statistics in Medicine · doi:10.1002/sim.7433 · Cited by 208

PTSD in the Year Following Sexual Assault: A Meta-Analysis of Prospective Studies

Dworkin, E. R., Jaffe, A. E., Bedard-Gilligan, M., & Fitzpatrick, S. (2023) · Trauma, Violence, & Abuse · doi:10.1177/15248380211032213 · Cited by 209

Molecular Characterisation of Gastrointestinal Microbiota of Children With Autism (With and Without Gastrointestinal Dysfunction) and Their Neurotypical Siblings

Gondalia, S. V., Palombo, E. A., Knowles, S. R., Cox, S. B., Meyer, D., & Austin, D. W. (2012) · Autism Research · doi:10.1002/aur.1253 · Cited by 208

Early sex differences are not autism-specific: A Baby Siblings Research Consortium (BSRC) study

Messinger, D. S., Young, G. S., Webb, S. J., Ozonoff, S., Bryson, S. E., Carter, A., Carver, L., Charman, T., Chawarska, K., Curtin, S., et al. (2015) · Molecular Autism · doi:10.1186/s13229-015-0027-y · Cited by 207

Quantifying and Comparing Phylogenetic Evolutionary Rates for Shape and Other High-Dimensional Phenotypic Data

Adams, D. C. (2014) · Systematic Biology · doi:10.1093/sysbio/syt105 · Cited by 207

BHPMF – a hierarchical Bayesian approach to gap‐filling and trait prediction for macroecology and functional biogeography

Schrodt, F., Kattge, J., Shan, H., Fazayeli, F., Joswig, J., Banerjee, A., Reichstein, M., Bönisch, G., Díaz, S., Dickie, J., et al. (2015) · Global Ecology and Biogeography · doi:10.1111/geb.12335 · Cited by 206

Moderate alcohol consumption and cognitive risk

Neafsey, E., & Collins, M. (2011) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s23159 · Cited by 205

Modeling non-uniformity in short-read rates in RNA-Seq data

Li, J., Jiang, H., & Wong, W. H. (2010) · Genome Biology · doi:10.1186/gb-2010-11-5-r50 · Cited by 193

Gene regulatory network reconstruction using single-cell RNA sequencing of barcoded genotypes in diverse environments

Jackson, C. A., Castro, D. M., Saldi, G.-A., Bonneau, R., & Gresham, D. (2020) · eLife · doi:10.7554/elife.51254 · Cited by 174

Neurons under T Cell Attack Coordinate Phagocyte-Mediated Synaptic Stripping

Di Liberto, G., Pantelyushin, S., Kreutzfeldt, M., Page, N., Musardo, S., Coras, R., Steinbach, K., Vincenti, I., Klimek, B., Lingner, T., et al. (2018) · Cell · doi:10.1016/j.cell.2018.07.049 · Cited by 195

Sex differences in DNA methylation assessed by 450 K BeadChip in newborns

Yousefi, P., Huen, K., Davé, V., Barcellos, L., Eskenazi, B., & Holland, N. (2015) · BMC Genomics · doi:10.1186/s12864-015-2034-y · Cited by 205

Impacts of Neanderthal-Introgressed Sequences on the Landscape of Human Gene Expression

McCoy, R. C., Wakefield, J., & Akey, J. M. (2017) · Cell · doi:10.1016/j.cell.2017.01.038 · Cited by 200

Tolerant food sharing and reciprocity is precluded by despotism among bonobos but not chimpanzees

Jaeggi, A. V., Stevens, J. M. G., & Van Schaik, C. P. (2010) · American Journal of Physical Anthropology · doi:10.1002/ajpa.21288 · Cited by 205

Spatial embedding and wiring cost constrain the functional layout of the cortical network of rodents and primates

Horvát, S., Gămănuț, R., Ercsey-Ravasz, M., Magrou, L., Gămănuț, B., Van Essen, D. C., Burkhalter, A., Knoblauch, K., Toroczkai, Z., & Kennedy, H. (2016) · PLoS Biology · doi:10.1371/journal.pbio.1002512 · Cited by 198

Acceptance of mobile phone by university students for their studies: an investigation applying UTAUT2 model

Nikolopoulou, K., Gialamas, V., & Lavidas, K. (2020) · Education and Information Technologies · doi:10.1007/s10639-020-10157-9 · Cited by 205

Examining the Association Between Apparent Temperature and Mental Health-Related Emergency Room Visits in California

Basu, R., Gavin, L., Pearson, D., Ebisu, K., & Malig, B. (2018) · American Journal of Epidemiology · doi:10.1093/aje/kwx295 · Cited by 195

TGF-β uses a novel mode of receptor activation to phosphorylate SMAD1/5 and induce epithelial-to-mesenchymal transition

Ramachandran, A., Vizán, P., Das, D., Chakravarty, P., Vogt, J., Rogers, K. W., Müller, P., Hinck, A. P., Sapkota, G. P., & Hill, C. S. (2018) · eLife · doi:10.7554/elife.31756 · Cited by 204

Anterior insular cortex plays a critical role in interoceptive attention

Wang, X., Wu, Q., Egan, L., Gu, X., Liu, P., Gu, H., Yang, Y., Luo, J., Wu, Y., Gao, Z., et al. (2019) · eLife · doi:10.7554/elife.42265 · Cited by 204

Effects of distributed and centralized stormwater best management practices and land cover on urban stream hydrology at the catchment scale

Loperfido, J. V., Noe, G. B., Jarnagin, S. T., & Hogan, D. M. (2014) · Journal of Hydrology · doi:10.1016/j.jhydrol.2014.07.007 · Cited by 204

The ovarian cancer oncobiome

Banerjee, S., Tian, T., Wei, Z., Shih, N., Feldman, M. D., Alwine, J. C., Coukos, G., & Robertson, E. S. (2017) · Oncotarget · doi:10.18632/oncotarget.16717 · Cited by 204

Efficacy of different faecal microbiota transplantation protocols for Clostridium difficile infection: A systematic review and meta‐analysis

Ianiro, G., Maida, M., Burisch, J., Simonelli, C., Hold, G., Ventimiglia, M., Gasbarrini, A., & Cammarota, G. (2018) · United European Gastroenterology Journal · doi:10.1177/2050640618780762 · Cited by 203

Identification, Characterization, and Heritability of Murine Metastable Epialleles: Implications for Non-genetic Inheritance

Kazachenka, A., Bertozzi, T. M., Sjoberg-Herrera, M. K., Walker, N., Gardner, J., Gunning, R., Pahita, E., Adams, S., Adams, D., & Ferguson-Smith, A. C. (2018) · Cell · doi:10.1016/j.cell.2018.09.043 · Cited by 181

Metabolic rate and body size are linked with perception of temporal information

Healy, K., McNally, L., Ruxton, G. D., Cooper, N., & Jackson, A. L. (2013) · Animal Behaviour · doi:10.1016/j.anbehav.2013.06.018 · Cited by 202

The challenge of biased evidence in conservation

Christie, A. P., Amano, T., Martin, P. A., Petrovan, S. O., Shackelford, G. E., Simmons, B. I., Smith, R. K., Williams, D. R., Wordley, C. F. R., & Sutherland, W. J. (2021) · Conservation Biology · doi:10.1111/cobi.13577 · Cited by 202

The Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls

Coleman, J. R. I., Gaspar, H. A., Bryois, J., Byrne, E. M., Forstner, A. J., Holmans, P. A., de Leeuw, C. A., Mattheisen, M., McQuillin, A., Whitehead Pavlides, J. M., et al. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.10.015 · Cited by 199

Evaluation and optimization of virtual screening workflows with DEKOIS 2.0 – A public library of challenging docking benchmark sets.

Bauer, M. R., Ibrahim, T. M., Vogel, S. M., & Boeckler, F. M. (2013) · Journal of Chemical Information and Modeling · doi:10.1021/ci400115b · Cited by 200

No detectable upper limit of mineral‐associated organic carbon in temperate agricultural soils

Begill, N., Don, A., & Poeplau, C. (2023) · Global Change Biology · doi:10.1111/gcb.16804 · Cited by 201

Jumping to conclusions about the beads task? A meta-analysis of delusional ideation and data-gathering

Ross, R. M., McKay, R., Coltheart, M., & Langdon, R. (2015) · Schizophrenia Bulletin · doi:10.1093/schbul/sbu187 · Cited by 198

Careless responding in questionnaire measures: Detection, impact, and remedies

Goldammer, P., Annen, H., Stöckli, P. L., & Jonas, K. (2020) · The Leadership Quarterly · doi:10.1016/j.leaqua.2020.101384 · Cited by 200

Experimental evaluation of the importance of colonization history in early-life gut microbiota assembly

Martínez, I., Maldonado-Gomez, M. X., Gomes-Neto, J. C., Kittana, H., Ding, H., Schmaltz, R., Joglekar, P., Cardona, R. J., Marsteller, N. L., Kembel, S. W., et al. (2018) · eLife · doi:10.7554/elife.36521 · Cited by 199

When are pathogen genome sequences informative of transmission events?

Campbell, F., Strang, C., Ferguson, N., Cori, A., & Jombart, T. (2018) · PLOS Pathogens · doi:10.1371/journal.ppat.1006885 · Cited by 199

Primary endothelial cell–specific regulation of hypoxia‐inducible factor (HIF)‐1 and HIF‐2 and their target gene expression profiles during hypoxia

Bartoszewski, R., Moszyńska, A., Serocki, M., Cabaj, A., Polten, A., Ochocka, R., Dell'Italia, L., Bartoszewska, S., Króliczewski, J., Dąbrowski, M., et al. (2019) · The FASEB Journal · doi:10.1096/fj.201802650rr · Cited by 199

The use of mobile applications to support self-management for people with asthma: a systematic review of controlled studies to identify features associated with clinical effectiveness and adherence.

Hui, C. Y., Walton, R., McKinstry, B., Jackson, T., Parker, R., & Pinnock, H. (2017) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocw143 · Cited by 198

Treatment-Resistant Bipolar Depression: A Randomized Controlled Trial of Electroconvulsive Therapy Versus Algorithm-Based Pharmacological Treatment

Schoeyen, H. K., Kessler, U., Andreassen, O. A., Auestad, B. H., Bergsholm, P., Malt, U. F., Morken, G., Oedegaard, K. J., & Vaaler, A. (2015) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2014.13111517 · Cited by 197

Sedentary Behavior in the First Year After Stroke: A Longitudinal Cohort Study With Objective Measures

Tieges, Z., Mead, G., Allerhand, M., Duncan, F., van Wijck, F., Fitzsimons, C., Greig, C., & Chastin, S. (2015) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2014.08.015 · Cited by 198

A common cortical metric for spatial, temporal, and social distance

Parkinson, C., Liu, S., & Wheatley, T. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.2159-13.2014 · Cited by 198

The burden of typhoid and paratyphoid in India: systematic review and meta-analysis

John, J., Van Aart, C. J. C., & Grassly, N. C. (2016) · PLOS Neglected Tropical Diseases · doi:10.1371/journal.pntd.0004616 · Cited by 198

Computational substrates of norms and their violations during social exchange

Xiang, T., Lohrenz, T., & Montague, P. R. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.1642-12.2013 · Cited by 197

Towards integrating personalized feedback research into clinical practice: Development of the Trier Treatment Navigator (TTN)

Lutz, W., Rubel, J. A., Schwartz, B., Schilling, V., & Deisenhofer, A.-K. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2019.103438 · Cited by 196

Comparing dream to reality: an assessment of adherence of the first generation of preregistered studies

Claesen, A., Gomes, S., Tuerlinckx, F., & Vanpaemel, W. (2021) · Royal Society Open Science · doi:10.1098/rsos.211037 · Cited by 197

zCall: a rare variant caller for array-based genotyping

Goldstein, J. I., Crenshaw, A., Carey, J., Grant, G. B., Maguire, J., Fromer, M., O’Dushlaine, C., Moran, J. L., Chambert, K., Stevens, C., et al. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts479 · Cited by 196

Estimating psychological networks and their accuracy: A tutorial paper

Epskamp, S., Borsboom, D., & Fried, E. I. (2018) · Behavior Research Methods · doi:10.3758/s13428-017-0862-1 · Cited by 5,715

A penny for your thoughts: dimensions of self-generated thought content and relationships with individual differences in emotional wellbeing

Andrews-Hanna, J. R., Kaiser, R. H., Turner, A. E. J., Reineberg, A. E., Godinez, D., Dimidjian, S., & Banich, M. T. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00900 · Cited by 184

Clinical and pharmacogenetic predictors of circulating atorvastatin and rosuvastatin concentrations in routine clinical care

DeGorter, M. K., Tirona, R. G., Schwarz, U. I., Choi, Y.-H., Dresser, G. K., Suskin, N., Myers, K., Zou, G., Iwuchukwu, O., Wei, W.-Q., et al. (2013) · Circulation: Cardiovascular Genetics · doi:10.1161/circgenetics.113.000099 · Cited by 195

Compositional and temperature effects of phosphoric acid fractionation on Δ47 analysis and implications for discrepant calibrations

Defliese, W. F., Hren, M. T., & Lohmann, K. C. (2015) · Chemical Geology · doi:10.1016/j.chemgeo.2014.12.018 · Cited by 190

Global analyses revealed age‐related alterations in innate immune responses after stimulation of pathogen recognition receptors

Metcalf, T. U., Cubas, R. A., Ghneim, K., Cartwright, M. J., Grevenynghe, J. V., Richner, J. M., Olagnier, D. P., Wilkinson, P. A., Cameron, M. J., Park, B. S., et al. (2015) · Aging Cell · doi:10.1111/acel.12320 · Cited by 189

Microplastic Study Reveals the Presence of Natural and Synthetic Fibres in the Diet of King Penguins (Aptenodytes patagonicus) Foraging from South Georgia

Le Guen, C., Suaria, G., Sherley, R. B., Ryan, P. G., Aliani, S., Boehme, L., & Brierley, A. S. (2020) · Environment International · doi:10.1016/j.envint.2019.105303 · Cited by 192

Quantitative 3D Mapping of the Human Skeletal Muscle Mitochondrial Network

Vincent, A. E., White, K., Davey, T., Philips, J., Ogden, R. T., Lawless, C., Warren, C., Hall, M. G., Ng, Y. S., Falkous, G., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.01.010 · Cited by 195

Stuttering as Defined by Adults Who Stutter

Tichenor, S. E., & Yaruss, J. S. (2019) · Journal of Speech, Language, and Hearing Research · doi:10.1044/2019_jslhr-19-00137 · Cited by 195

Effectiveness of psychological interventions in prison to reduce recidivism: a systematic review and meta-analysis of randomised controlled trials

Beaudry, G., Yu, R., Perry, A. E., & Fazel, S. (2021) · The Lancet Psychiatry · doi:10.1016/s2215-0366(21)00170-x · Cited by 196

Environmental factors covary with plant diversity–productivity relationships among Chinese grassland sites

Ma, W., He, J., Yang, Y., Wang, X., Liang, C., Anwar, M., Zeng, H., Fang, J., & Schmid, B. (2010) · Global Ecology and Biogeography · doi:10.1111/j.1466-8238.2009.00508.x · Cited by 194

The Mouse Gastrointestinal Bacteria Catalogue enables translation between the mouse and human gut microbiotas via functional mapping

Beresford-Jones, B. S., Forster, S. C., Stares, M. D., Notley, G., Viciani, E., Browne, H. P., Boehmler, D. J., Soderholm, A. T., Kumar, N., Vervier, K., et al. (2022) · Cell Host & Microbe · doi:10.1016/j.chom.2021.12.003 · Cited by 194

Involvement of the gut microbiota and barrier function in glucocorticoid-induced osteoporosis

Schepper, J. D., Collins, F., Rios-Arce, N. D., Kang, H. J., Schaefer, L., Gardinier, J. D., Raghuvanshi, R., Quinn, R. A., Britton, R., Parameswaran, N., et al. (2020) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.3947 · Cited by 199

Global habitat preferences of commercially valuable tuna

Arrizabalaga, H., Dufour, F., Kell, L., Merino, G., Ibaibarriaga, L., Chust, G., Irigoien, X., Santiago, J., Murua, H., Fraile, I., et al. (2015) · Deep Sea Research Part II: Topical Studies in Oceanography · doi:10.1016/j.dsr2.2014.07.001 · Cited by 194

Functional enhancer elements drive subclass-selective expression from mouse to primate neocortex

Mich, J. K., Graybuck, L. T., Hess, E. E., Mahoney, J. T., Kojima, Y., Ding, Y., Somasundaram, S., Miller, J. A., Kalmbach, B. E., Radaelli, C., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.108754 · Cited by 193

eHealth and mHealth interventions in the treatment of fatigued cancer survivors: A systematic review and meta-analysis

Seiler, A., Klaas, V., Tröster, G., & Fagundes, C. P. (2017) · Psycho-Oncology · doi:10.1002/pon.4489 · Cited by 176

Estimating Multilevel Logistic Regression Models When the Number of Clusters is Low: A Comparison of Different Statistical Software Procedures

Austin, P. C. (2010) · The International Journal of Biostatistics · doi:10.2202/1557-4679.1195 · Cited by 193

Ritual human sacrifice promoted and sustained the evolution of stratified societies

Watts, J., Sheehan, O., Atkinson, Q. D., Bulbulia, J., & Gray, R. D. (2016) · Nature · doi:10.1038/nature17159 · Cited by 188

Domestication of Cattle: Two or Three Events?

Pitt, D., Sevane, N., Nicolazzi, E. L., MacHugh, D. E., Park, S. D. E., Colli, L., Martinez, R., Bruford, M. W., & Orozco‐terWengel, P. (2019) · Evolutionary Applications · doi:10.1111/eva.12674 · Cited by 195

Mortality Risk Score Prediction in an Elderly Population Using Machine Learning

Rose, S. (2013) · American Journal of Epidemiology · doi:10.1093/aje/kws241 · Cited by 193

Meta-analysis of the effects of intranasal oxytocin on interpretation and expression of emotions

Leppanen, J., Ng, K. W., Tchanturia, K., & Treasure, J. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.04.010 · Cited by 188

The development of the general factor of psychopathology “p factor” through childhood and adolescence

Murray, A. L., Eisner, M., & Ribeaud, D. (2016) · Journal of Abnormal Child Psychology · doi:10.1007/s10802-016-0132-1 · Cited by 192

Random versus Game Trail-Based Camera Trap Placement Strategy for Monitoring Terrestrial Mammal Communities

Cusack, J. J., Dickman, A. J., Rowcliffe, J. M., Carbone, C., Macdonald, D. W., & Coulson, T. (2015) · PLOS ONE · doi:10.1371/journal.pone.0126373 · Cited by 192

Zipf’s Law of Abbreviation and the Principle of Least Effort: Language users optimise a miniature lexicon for efficient communication

Kanwal, J., Smith, K., Culbertson, J., & Kirby, S. (2017) · Cognition · doi:10.1016/j.cognition.2017.05.001 · Cited by 176

Food‐web dynamics in a large river discontinuum

Cross, W. F., Baxter, C. V., Rosi-Marshall, E. J., Hall, R. O., Kennedy, T. A., Donner, K. C., Wellard Kelly, H. A., Seegert, S. E. Z., Behn, K. E., & Yard, M. D. (2013) · Ecological Monographs · doi:10.1890/12-1727.1 · Cited by 191

Network meta‐analysis of multicomponent interventions

Rücker, G., Petropoulou, M., & Schwarzer, G. (2020) · Biometrical Journal · doi:10.1002/bimj.201800167 · Cited by 195

Self-affirmation alters the brain’s response to health messages and subsequent behavior change.

Falk, E. B., O’Donnell, M. B., Cascio, C. N., Tinney, F., Kang, Y., Lieberman, M. D., Taylor, S. E., An, L., Resnicow, K., & Strecher, V. J. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1500247112 · Cited by 190

Virus-host coevolution: common patterns of nucleotide motif usage in Flaviviridae and their hosts

Lobo, F. P., Mota, B. E. F., Pena, S. D. J., Azevedo, V., Macedo, A. M., Tauch, A., Machado, C. R., & Franco, G. R. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006282 · Cited by 191

Influences of fire–vegetation feedbacks and post‐fire recovery rates on forest landscape vulnerability to altered fire regimes

Tepley, A. J., Thomann, E., Veblen, T. T., Perry, G. L. W., Holz, A., Paritsis, J., Kitzberger, T., & Anderson‐Teixeira, K. J. (2018) · Journal of Ecology · doi:10.1111/1365-2745.12950 · Cited by 191

Estimating Standardized SEM Parameters Given Nonnormal Data and Incorrect Model: Methods and Comparison

Lai, K. (2018) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705511.2017.1392248 · Cited by 190

Epigenome-wide change and variation in DNA methylation in childhood: trajectories from birth to late adolescence

Mulder, R. H., Neumann, A., Cecil, C. A. M., Walton, E., Houtepen, L. C., Simpkin, A. J., Rijlaarsdam, J., Heijmans, B. T., Gaunt, T. R., Felix, J. F., et al. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddaa280 · Cited by 165

Why are there so few fish in the sea?

Carrete Vega, G., & Wiens, J. J. (2012) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2012.0075 · Cited by 191

Evidence map of crop diversification strategies at the global scale

Beillouin, D., Ben-Ari, T., & Makowski, D. (2019) · Environmental Research Letters · doi:10.1088/1748-9326/ab4449 · Cited by 192

Supplementation with a probiotic mixture accelerates gut microbiome maturation and reduces intestinal inflammation in extremely preterm infants

Samara, J., Moossavi, S., Alshaikh, B., Ortega, V. A., Pettersen, V. K., Ferdous, T., Hoops, S. L., Soraisham, A., Vayalumkal, J., Dersch-Mills, D., et al. (2022) · Cell Host & Microbe · doi:10.1016/j.chom.2022.04.005 · Cited by 191

Using bootstrap estimation and the plug-in principle for clinical psychology data

Wright, D. B., London, K., & Field, A. P. (2011) · Journal of Experimental Psychopathology · doi:10.5127/jep.013611 · Cited by 187

Childhood intelligence in relation to major causes of death in 68 year follow-up: prospective population study

Calvin, C. M., Batty, G. D., Der, G., Brett, C. E., Taylor, A., Pattie, A., Čukić, I., & Deary, I. J. (2017) · BMJ · doi:10.1136/bmj.j2708 · Cited by 189

Robust T Cell Response Toward Spike, Membrane, and Nucleocapsid SARS-CoV-2 Proteins Is Not Associated with Recovery in Critical COVID-19 Patients

Thieme, C. J., Anft, M., Paniskaki, K., Blazquez-Navarro, A., Doevelaar, A., Seibert, F. S., Hoelzer, B., Konik, M. J., Berger, M. M., Brenner, T., et al. (2020) · Cell Reports Medicine · doi:10.1016/j.xcrm.2020.100092 · Cited by 184

Response to COVID-19 in South Korea and implications for lifting stringent interventions

Dighe, A., Cattarino, L., Cuomo-Dannenburg, G., Skarp, J., Imai, N., Bhatia, S., Gaythorpe, K. A. M., Ainslie, K. E. C., Baguelin, M., Bhatt, S., et al. (2020) · BMC Medicine · doi:10.1186/s12916-020-01791-8 · Cited by 188

Clinical Classifications of Atrial Fibrillation Poorly Reflect Its Temporal Persistence

Charitos, E. I., Pürerfellner, H., Glotzer, T. V., & Ziegler, P. D. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2014.04.019 · Cited by 188

Effectiveness of Mindfulness Meditation vs Headache Education for Adults With Migraine: A Randomized Clinical Trial

Wells, R. E., O’Connell, N., Pierce, C. R., Estave, P., Penzien, D. B., Loder, E., Zeidan, F., & Houle, T. T. (2021) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2020.7090 · Cited by 183

Can consumer wearable activity tracker-based interventions improve physical activity and cardiometabolic health in patients with chronic diseases? A systematic review and meta-analysis of randomised controlled trials

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Associations of Immunological Proteins/Traits with Schizophrenia, Major Depression and Bipolar Disorder: A Bi-Directional Two-Sample Mendelian Randomization Study

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