Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median

False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant

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The Influence Curve and Its Role in Robust Estimation

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Alternatives to the Median Absolute Deviation

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Methods for dealing with reaction time outliers.

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Alternatives to the Median Absolute Deviation

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Outliers detection and treatment: a review.

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Short Report: Reaction Time Analysis with Outlier Exclusion: Bias Varies with Sample Size

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OUTLIER DETECTION AND TREATMENT IN I/O PSYCHOLOGY: A SURVEY OF RESEARCHER BELIEFS AND AN EMPIRICAL ILLUSTRATION

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Extensive validation of CM SAF surface radiation products over Europe

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Anomaly Detection Using a Sliding Window Technique and Data Imputation with Machine Learning for Hydrological Time Series

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Learning One Class Representations for Face Presentation Attack Detection Using Multi-Channel Convolutional Neural Networks

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Astrocytes close the mouse critical period for visual plasticity

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On the nature and types of anomalies: a review of deviations in data

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Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination DetectionPreprint

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Mississippi River Nitrate Loads from High Frequency Sensor Measurements and Regression-Based Load Estimation

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A note on detecting statistical outliers in psychophysical data

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Common methodological mistakes

Wulff, J. N., Sajons, G. B., Pogrebna, G., Lonati, S., Bastardoz, N., Banks, G. C., & Antonakis, J. (2023) · The Leadership Quarterly · doi:10.1016/j.leaqua.2023.101677 · Cited by 136

Making Cool Choices for sustainability: Testing the effectiveness of a game-based approach to promoting pro-environmental behaviors

Ro, M., Bräuer, M., Kuntz, K., Shukla, R., & Bensch, I. (2017) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2017.06.007 · Cited by 117

Hemoglobin, Body Mass Index, and Age as Risk Factors for Paclitaxel- and Oxaliplatin-Induced Peripheral Neuropathy

Mizrahi, D., Park, S. B., Li, T., Timmins, H. C., Trinh, T., Au, K., Battaglini, E., Wyld, D., Henderson, R. D., Grimison, P., et al. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.36695 · Cited by 116

Measurement of Outflow Facility Using iPerfusion

Sherwood, J. M., Reina‐Torres, E., Bertrand, J. A., Rowe, B., & Overby, D. R. (2016) · PLoS ONE · doi:10.1371/journal.pone.0150694 · Cited by 111

Climate change, climatic variation and extreme biological responses

Palmer, G., Platts, P. J., BRERETON, T. M., Chapman, J. W., Dytham, C., Fox, R., Pearce‐Higgins, J. W., Roy, D. B., Hill, J. K., & Thomas, C. D. (2017) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2016.0144 · Cited by 114

Graph-Based Intrusion Detection System for Controller Area Networks

Islam, R., Refat, R. U. D., Yerram, S. M., & Malik, H. M. A. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.3025685 · Cited by 124

Effect of physical exercise on cognitive function after chemotherapy in patients with breast cancer: a randomized controlled trial (PAM study)

Koevoets, E. W., Schagen, S. B., de Ruiter, M. B., Geerlings, M. I., Witlox, L., van der Wall, E., Stuiver, M. M., Sonke, G. S., Velthuis, M. J., Jobsen, J. J., et al. (2022) · Breast Cancer Research · doi:10.1186/s13058-022-01530-2 · Cited by 118

Acute and chronic effects of hot water immersion on inflammation and metabolism in sedentary, overweight adults

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Stigmatized beliefs: Conspiracy theories, anticipated negative evaluation of the self, and fear of social exclusion

Lantian, A., Müller, D., Nurra, C., Klein, O., Berjot, S., & Pantazi, M. (2018) · European Journal of Social Psychology · doi:10.1002/ejsp.2498 · Cited by 117

A multilevel carbon and water footprint dataset of food commodities

Petersson, T., Secondi, L., Magnani, A., Antonelli, M., Dembska, K., Valentini, R., Varotto, A., & Castaldi, S. (2021) · Scientific Data · doi:10.1038/s41597-021-00909-8 · Cited by 118

Performance of Some Estimators of Relative Variability

Ospina, R., & Marmolejo‐Ramos, F. (2019) · Frontiers in Applied Mathematics and Statistics · doi:10.3389/fams.2019.00043 · Cited by 113

Estimating hourly PM2.5 concentrations at the neighborhood scale using a low-cost air sensor network: A Los Angeles case study

Lu, Y., Giuliano, G., & Habre, R. (2021) · Environmental Research · doi:10.1016/j.envres.2020.110653 · Cited by 111

Changes of collagen ultrastructure in breast cancer tissue determined by second-harmonic generation double Stokes-Mueller polarimetric microscopy

Golaraei, A., Kontenis, L., Cisek, R., Tokarz, D., Done, S. J., Wilson, B. C., & Barzda, V. (2016) · Biomedical Optics Express · doi:10.1364/boe.7.004054 · Cited by 111

Aerobic fitness, hippocampal viscoelasticity, and relational memory performance

Schwarb, H. D., Johnson, C. L., Daugherty, A. M., Hillman, C. H., Kramer, A. F., Cohen, N. J., & Barbey, A. K. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.061 · Cited by 114

Spatial assessment of meteorological drought features over different climate regions in Iran

Sharafati, A., Nabaei, S., & Shahid, S. (2019) · International Journal of Climatology · doi:10.1002/joc.6307 · Cited by 110

Single-cell multiomics analysis reveals regulatory programs in clear cell renal cell carcinoma

Long, Z., Sun, C., Tang, M., Wang, Y., Ma, J., Yu, J., Wei, J., Ma, J., Wang, B., Xie, Q., et al. (2022) · Cell Discovery · doi:10.1038/s41421-022-00415-0 · Cited by 109

Are sex drive and hypersexuality associated with pedophilic interest and child sexual abuse in a male community sample?

Klein, V., Schmidt, A. F., Turner, D., & Briken, P. (2015) · PLOS ONE · doi:10.1371/journal.pone.0129730 · Cited by 109

Protesting Corruption on Twitter: Is It a Bot or Is It a Person?

Salge, C. A. D. L., & Karahanna, E. (2016) · Academy of Management Discoveries · doi:10.5465/amd.2015.0121 · Cited by 109

Quantitative Brain Morphometry of Portable Low-Field-Strength MRI Using Super-Resolution Machine Learning

Iglesias, J. E., Schleicher, R. L., Laguna, S., Billot, B., Schaefer, P. W., McKaig, B. N., Goldstein, J. N., Sheth, K. N., Rosen, M. S., & Kimberly, W. T. (2022) · Radiology · doi:10.1148/radiol.220522 · Cited by 109

Data-driven evolution of water quality models: An in-depth investigation of innovative outlier detection approaches-A case study of Irish Water Quality Index (IEWQI) model

Uddin, M. G., Rahman, A., Taghikhah, F. R., & Olbert, A. I. (2024) · Water Research · doi:10.1016/j.watres.2024.121499 · Cited by 109

AFLOW-CHULL: Cloud-Oriented Platform for Autonomous Phase Stability Analysis

Oses, C., Gossett, E., Hicks, D., Rose, F., Mehl, M. J., Perim, E., Takeuchi, I., Sanvito, S., Scheffler, M., Lederer, Y., et al. (2018) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.8b00393 · Cited by 108

Brief mindfulness meditation reduces discrimination.

Lueke, A. K., & Gibson, B. D. (2016) · Psychology of Consciousness Theory Research and Practice · doi:10.1037/cns0000081 · Cited by 124

Rapid hippocampal plasticity supports motor sequence learning

Jacobacci, F., Armony, J. L., Yeffal, A., Lerner, G., Amaro, E., Jovicich, J., Doyon, J., & Della‐Maggiore, V. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2009576117 · Cited by 111

Approaching threat modulates visuotactile interactions in peripersonal space

de Haan, A. M., Smit, M., der Stigchel, S. V., & Dijkerman, H. C. (2016) · Experimental Brain Research · doi:10.1007/s00221-016-4571-2 · Cited by 114

Suicide and self-injury-related implicit cognition: A large-scale examination and replication.

Glenn, J. J., Werntz, A. J., Slama, S. J. K., Steinman, S. A., Teachman, B. A., & Nock, M. K. (2016) · Journal of Abnormal Psychology · doi:10.1037/abn0000230 · Cited by 110

Improving physically based snow simulations by assimilating snow depths using the particle filter

Magnusson, J., Winstral, A. H., Stordal, A. S., Essery, R., & Jonas, T. (2016) · Water Resources Research · doi:10.1002/2016wr019092 · Cited by 105

Machine learning based very short term load forecasting of machine tools

Dietrich, B., Walther, J., Weigold, M., & Abele, E. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115440 · Cited by 105

Gender differences across multiple types of prosocial behavior in adolescence: A meta‐analysis of the prosocial tendency measure‐revised (PTM‐R)

Xiao, S. X., Hashi, E. C., Korous, K. M., & Eisenberg, N. (2019) · Journal of Adolescence · doi:10.1016/j.adolescence.2019.09.003 · Cited by 128

Survey:Time-series data preprocessing: A survey and an empirical analysis

Tawakuli, A., Havers, B., Gulisano, V. M., Kaiser, D., & Engel, T. (2024) · Journal of Engineering Research · doi:10.1016/j.jer.2024.02.018 · Cited by 144

Meditation awareness training for the treatment of fibromyalgia syndrome: A randomized controlled trial

Gordon, W. V., Shonin, E., Dunn, T. J., García‐Campayo, J., & Griffiths, M. D. (2016) · British Journal of Health Psychology · doi:10.1111/bjhp.12224 · Cited by 103

A comprehensive spatial-temporal analysis of driving factors of human-caused wildfires in Spain using Geographically Weighted Logistic Regression

Rodrígues, M., Jiménez-Ruano, A., Peña‐Angulo, D., & de la Riva, J. (2018) · Journal of Environmental Management · doi:10.1016/j.jenvman.2018.07.098 · Cited by 107

Endogenous tagging reveals differential regulation of Ca 2+ channels at single AZs during presynaptic homeostatic potentiation and depression

Gratz, S. J., Goel, P., Bruckner, J. J., Hernandez, R. X., Khateeb, K., Macleod, G. T., Dickman, D. K., & O’Connor-Giles, K. M. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.3068-18.2019 · Cited by 103

Time course and magnitude of alpha-synuclein inclusion formation and nigrostriatal degeneration in the rat model of synucleinopathy triggered by intrastriatal α-synuclein preformed fibrils

Patterson, J. R., Duffy, M. F., Kemp, C. J., Howe, J. W., Collier, T. J., Stoll, A. C., Miller, K. M., Patel, P., Levine, N. D., Moore, D. J., et al. (2019) · Neurobiology of Disease · doi:10.1016/j.nbd.2019.104525 · Cited by 108

Reactive Oxygen Species-Mediated Loss of Synaptic Akt1 Signaling Leads to Deficient Activity-Dependent Protein Translation Early in Alzheimer's Disease

Ahmad, F., Singh, K. P., Das, D., Gowaikar, R., Shaw, E., Ramachandran, A., Rupanagudi, K. V., Kommaddi, R. P., Bennett, D. A., & Ravindranath, V. (2017) · Antioxidants and Redox Signaling · doi:10.1089/ars.2016.6860 · Cited by 99

The paired t test and beyond: Recommendations for testing the central tendencies of two paired samples in research on speech, language and hearing pathology.

Rietveld, T., & van Hout, R. (2015) · Journal of Communication Disorders · doi:10.1016/j.jcomdis.2017.07.002 · Cited by 99

Terminal attack trajectories of peregrine falcons are described by the proportional navigation guidance law of missiles

Brighton, C. H., Thomas, A. L. R., & Taylor, G. K. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1714532114 · Cited by 92

Spring phenology at different altitudes is becoming more uniform under global warming in Europe

Chen, L., Huang, J., Ma, Q., Hänninen, H., Rossi, S., Piao, S. L., & Bergeron, Y. (2018) · Global Change Biology · doi:10.1111/gcb.14288 · Cited by 98

MVApp—Multivariate Analysis Application for Streamlined Data Analysis and Curation

Julkowska, M., Saadé, S., Agarwal, G., Gao, G. F., Pailles, Y., Morton, M. J. L., Awlia, M., & Tester, M. A. (2019) · PLANT PHYSIOLOGY · doi:10.1104/pp.19.00235 · Cited by 94

Functional dedifferentiation of associative resting state networks in older adults – A longitudinal study

Malagurski, B., Liem, F., Oschwald, J., Mérillat, S., & Jäncke, L. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116680 · Cited by 104

Outlier analysis for defect detection using sparse sampling in guided wave structural health monitoring

Jagadeeshwar, T. L., Kanakambaran, S., Kalyani, S., Rajagopal, P., & Srinivasan, B. (2021) · Structural Control and Health Monitoring · doi:10.1002/stc.2690 · Cited by 97

Effects of High-Definition and Conventional tDCS on Response Inhibition

Hogeveen, J., Grafman, J., Aboseria, M., David, A., Bikson, M., & Hauner, K. K. (2016) · Brain Stimulation · doi:10.1016/j.brs.2016.04.015 · Cited by 95

Soil carbon changes after establishing woodland and agroforestry trees in a grazed pasture

Upson, M., Burgess, P. J., & Morison, J. I. L. (2016) · Geoderma · doi:10.1016/j.geoderma.2016.07.002 · Cited by 95

A Normalization Methods for Backpropagation: A Comparative Study

Eesa, A. S., & Arabo, W. K. (2017) · Science Journal of University of Zakho · doi:10.25271/2017.5.4.381 · Cited by 96

Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution

Bulot, F. M. J., Russell, H. S., Rezaei, M., Johnson, M. S., Ossont, S. J., Morris, A. K. R., Basford, P. J., Easton, N. H. C., Foster, G. L., Loxham, M., et al. (2020) · Sensors · doi:10.3390/s20082219 · Cited by 96

A Novel Outlier Detection Method for Multivariate Data

Almardeny, Y., Boujnah, N., & Cleary, F. (2020) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2020.3036524 · Cited by 99

Systematization of Knowledge (SoK): A Systematic Review of Software-Based Web Phishing Detection

Dou, Z., Khalil, I. M., Khreishah, A. A., Al‐Fuqaha, A., & Guizani, M. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2752087 · Cited by 95

VizNet

Hu, K., Gaikwad, S. S., Hulsebos, M., Bakker, M. A., Zgraggen, E., Hidalgo, C. A., Kraska, T., Li, G., Satyanarayan, A., & Demiralp, Ç. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300892 · Cited by 98

Quality control strategies for brain MRI segmentation and parcellation: Practical approaches and recommendations - insights from the Maastricht study

Sánchez, J. M., de Jong, J. J. A., Drenthen, G. S., Beran, M., Backes, W. H., Stehouwer, C. D. A., Schram, M. T., Linden, D. E. J., & Jansen, J. F. A. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118174 · Cited by 92

To Remove or not to Remove: the Impact of Outlier Handling on Significance Testing in Testosterone Data

Pollet, T., & van der Meij, L. (2016) · Adaptive Human Behavior and Physiology · doi:10.1007/s40750-016-0050-z · Cited by 94

Detecting physically unrealistic outliers in ACE-FTS atmospheric measurements

Sheese, P. E., Boone, C. D., & Walker, K. A. (2015) · Atmospheric measurement techniques · doi:10.5194/amt-8-741-2015 · Cited by 94

Machine learning for industrial sensing and control: A survey and practical perspective

Lawrence, N. P., Damarla, S. K., Kim, J. W., Tulsyan, A., Amjad, F., Wang, K., Chachuat, B., Lee, J. M., Huang, B., & Gopaluni, R. B. (2024) · Control Engineering Practice · doi:10.1016/j.conengprac.2024.105841 · Cited by 112

Monitoring of Urban Impervious Surfaces Using Time Series of High-Resolution Remote Sensing Images in Rapidly Urbanized Areas: A Case Study of Shenzhen

Zhang, T., & Huang, X. (2018) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2018.2804440 · Cited by 93

Machine learning methods for detecting urinary tract infection and analysing daily living activities in people with dementia

Enshaeifar, S., Zoha, A., Skillman, S., Markides, A., Acton, S. T., Elsaleh, T., Kenny, M., Rostill, H., Nilforooshan, R., & Barnaghi, P. M. (2019) · PLoS ONE · doi:10.1371/journal.pone.0209909 · Cited by 93

Signatures of antagonistic pleiotropy in a bacterial flagellin epitope

Parys, K., Colaianni, N. R., Lee, H., Hohmann, U., Edelbacher, N., Trgovcevic, A., Blahovska, Z., Lee, D., Mechtler, A., Muhari-Portik, Z., et al. (2021) · Cell Host & Microbe · doi:10.1016/j.chom.2021.02.008 · Cited by 85

General Visual and Contingent Thermal Cues Interact to Elicit Attraction in Female Aedes aegypti Mosquitoes

Liu, M. Z., & Vosshall, L. B. (2019) · Current Biology · doi:10.1016/j.cub.2019.06.001 · Cited by 86

Impacts of past abrupt land change on local biodiversity globally

Jung, M., Rowhani, P., & Scharlemann, J. P. W. (2019) · Nature Communications · doi:10.1038/s41467-019-13452-3 · Cited by 95

Pulse arrival time as a surrogate of blood pressure

Finnegan, E., Davidson, S. M., Harford, M., Jorge, J., Watkinson, P., Young, D., Tarassenko, L., & Villarroel, M. (2021) · Scientific Reports · doi:10.1038/s41598-021-01358-4 · Cited by 105

Global projections of drought hazard in a warming climate: a prime for disaster risk management

Carrão, H., Naumann, G., & Barbosa, P. (2017) · Climate Dynamics · doi:10.1007/s00382-017-3740-8 · Cited by 96

Reliability and validity of a self-administered tool for online neuropsychological testing: The Amsterdam Cognition Scan

Feenstra, H. E. M., Murre, J. M. J., Vermeulen, I., Kieffer, J. M., & Schagen, S. B. (2017) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2017.1339017 · Cited by 89

The Self-Expressive Customization of a Product Can Improve Performance

Kaiser, U., Schreier, M., & Janiszewski, C. A. (2016) · Journal of Marketing Research · doi:10.1509/jmr.14.0293 · Cited by 96

Integrating the mitigating effect of forests into quantitative rockfall risk analysis – Two case studies in Switzerland

Moos, C., Fehlmann, M., Trappmann, D., Stoffel, M., & Dorren, L. K. A. (2017) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2017.09.036 · Cited by 88

Challenging Moral Attitudes With Moral Messages

Luttrell, A., Philipp-Muller, A. Z., & Petty, R. E. (2019) · Psychological Science · doi:10.1177/0956797619854706 · Cited by 93

Geodetic evidence for a buoyant mantle plume beneath the Eifel volcanic area, NW Europe

Kreemer, C., Blewitt, G., & Davis, P. M. (2020) · Geophysical Journal International · doi:10.1093/gji/ggaa227 · Cited by 87

A state‐of‐health estimation method considering capacity recovery of lithium batteries

Guo, Y., Yu, P., Zhu, C., Zhao, K., Wang, L., & Wang, K. (2022) · International Journal of Energy Research · doi:10.1002/er.8671 · Cited by 86

Multiple environmental exposures along daily mobility paths and depressive symptoms: A smartphone-based tracking study

Roberts, H., & Helbich, M. (2021) · Environment International · doi:10.1016/j.envint.2021.106635 · Cited by 86

Nostalgia confers psychological wellbeing by increasing authenticity

Kelley, N. J., Davis, W. E., Dang, J., Liu, L., Wildschut, T., & Sedikides, C. (2022) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2022.104379 · Cited by 101

Stuck in a sad place: Biased attentional disengagement in rumination.

Grafton, B., Southworth, F., Watkins, E. R., & MacLeod, C. (2015) · Emotion · doi:10.1037/emo0000103 · Cited by 89

The shifted Wald distribution for response time data analysis.

Anders, R., Alario, F. ‐., & van Maanen, L. (2016) · Psychological Methods · doi:10.1037/met0000066 · Cited by 93

On the cortical connectivity in the macaque brain: a comparison of diffusion tractography and histological tracing data

Girard, G., Caminiti, R., Battaglia-Mayer, A., St-Onge, E., Ambrosen, K. S., Eskildsen, S. F., Krug, K., Dyrby, T. B., Descoteaux, M., Thiran, J.-P., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117201 · Cited by 83

Blood-brain barrier leakage in systemic lupus erythematosus is associated with gray matter loss and cognitive impairment

Kamintsky, L., Beyea, S., Fisk, J., Hashmi, J., Omisade, A., Calkin, C., Bardouille, T., Bowen, C., Quraan, M., Mitnitski, A., et al. (2020) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2020-218004 · Cited by 69

CloudRCA

Zhang, Y., Guan, Z., Qian, H., Xu, L., Liu, H., Wen, Q., Sun, L., Jiang, J., Fan, L., & Ke, M. (2021) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/3459637.3481903 · Cited by 85

Outlier detection method based on high-density iteration

Zhou, Y., Xia, H., Yu, D., Cheng, J., & Li, J. (2024) · Information Sciences · doi:10.1016/j.ins.2024.120286 · Cited by 85

Working memory updating and binding training: Bayesian evidence supporting the absence of transfer.

De Simoni, C., & von Bastian, C. C. (2018) · Journal of Experimental Psychology: General · doi:10.1037/xge0000453 · Cited by 84

Quality control of global solar radiation data with satellite-based products

Urraca-Valle, R., Gracia-Amillo, A. M., arne, H. T., Martínez-de-Pisón, F. J., Trentmann, J., Lindfors, A. V., Riihelä, A., & Sanz-García, A. (2017) · Solar Energy · doi:10.1016/j.solener.2017.09.032 · Cited by 84

Heart rate and swimming activity as stress indicators for Atlantic salmon (Salmo salar)

Svendsen, E., Føre, M., Økland, F., Gräns, A., Hedger, R. D., Alfredsen, J. A., Uglem, I., Rosten, C. M., Frank, K., Erikson, U., et al. (2020) · Aquaculture · doi:10.1016/j.aquaculture.2020.735804 · Cited by 84

Abiotic conditions shape spatial and temporal morphological variation in North American birds

Youngflesh, C., Saracco, J. F., Siegel, R. B., & Tingley, M. W. (2022) · Nature Ecology & Evolution · doi:10.1038/s41559-022-01893-x · Cited by 83

Estimation of ionospheric total electron content (TEC) from GNSS observations

Seemala, G. K. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-99262-6.00022-5 · Cited by 84

Dashed expectations in service experiences. Effects of robots human-likeness on customers’ responses

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