R: A Language and Environment for Statistical Computing

The structure of intelligence in children with specific learning disabilities is different as compared to typically development children

Giofrè, D., & Cornoldi, C. (2015) · Intelligence · doi:10.1016/j.intell.2015.07.002 · Cited by 71

The climate sensitivity of carbon, timber, and species richness covaries with forest age in boreal–temperate North America

Thom, D., Golivets, M., Edling, L., Meigs, G. W., Gourevitch, J. D., Sonter, L. J., Galford, G. L., & Keeton, W. S. (2019) · Global Change Biology · doi:10.1111/gcb.14656 · Cited by 71

Highly efficient and genotype-independent barley gene editing based on anther culture

Han, Y., Broughton, S., Liu, L., Zhang, X.-Q., Zeng, J., He, X., & Li, C. (2021) · Plant Communications · doi:10.1016/j.xplc.2020.100082 · Cited by 73

Bayesian estimation in random effects meta‐analysis using a non‐informative prior

Bodnar, O., Link, A., Arendacká, B., Possolo, A., & Elster, C. (2017) · Statistics in Medicine · doi:10.1002/sim.7156 · Cited by 73

Alterations in ruminal bacterial populations at induction and recovery from diet-induced milk fat depression in dairy cows

Pitta, D. W., Indugu, N., Vecchiarelli, B., Rico, D. E., & Harvatine, K. J. (2018) · Journal of Dairy Science · doi:10.3168/jds.2016-12514 · Cited by 73

MicroRNA expression distinguishes SCLC from NSCLC lung tumor cells and suggests a possible pathological relationship between SCLCs and NSCLCs

Du, L., Schageman, J. J., Irnov, Girard, L., Hammond, S. M., Minna, J. D., Gazdar, A. F., & Pertsemlidis, A. (2010) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/1756-9966-29-75 · Cited by 73

Current role of social benefits in ecosystem service assessments

Schmidt, K., Sachse, R., & Walz, A. (2016) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2016.01.005 · Cited by 73

Viroid-like colonists of human microbiomes

Zheludev, I. N., Edgar, R. C., Lopez-Galiano, M. J., de la Peña, M., Babaian, A., Bhatt, A. S., & Fire, A. Z. (2024) · Cell · doi:10.1016/j.cell.2024.09.033 · Cited by 73

Sex and Gender Differences in Testing, Hospital Admission, Clinical Presentation, and Drivers of Severe Outcomes From COVID-19

Scully, E. P., Schumock, G., Fu, M., Massaccesi, G., Muschelli, J., Betz, J., Klein, E. Y., West, N. E., Robinson, M., Garibaldi, B. T., et al. (2021) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofab448 · Cited by 73

Viroid-like colonists of human microbiomes

Zheludev, I. N., Edgar, R. C., Lopez-Galiano, M. J., de la Peña, M., Babaian, A., Bhatt, A. S., & Fire, A. Z. (2024) · doi:10.1101/2024.01.20.576352 · Cited by 73

Different syngeneic tumors show distinctive intrinsic tumor-immunity and mechanisms of actions (MOA) of anti-PD-1 treatment

Jin, Y., An, X., Mao, B., Sun, R., Kumari, R., Chen, X., Shan, Y., Zang, M., Xu, L., Muntel, J., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-07153-z · Cited by 73

Compulsive sexual behavior: prefrontal and limbic volume and interactions

Schmidt, C., Morris, L. S., Kvamme, T. L., Hall, P., Birchard, T., & Voon, V. (2017) · Human Brain Mapping · doi:10.1002/hbm.23447 · Cited by 69

Individualized household allergen intervention lowers allergen level but not asthma medication use: a randomized controlled trial

DiMango, E., Serebrisky, D., Narula, S., Shim, C., Keating, C., Sheares, B., Perzanowski, M., Miller, R., DiMango, A., Andrews, H., et al. (2016) · The Journal of Allergy and Clinical Immunology: In Practice · doi:10.1016/j.jaip.2016.01.016 · Cited by 72

Occupational exposure to pesticides: Genetic danger to farmworkers and manufacturing workers – A meta-analytical review

Silva Pinto, B. G., Marques Soares, T. K., Azevedo Linhares, M., & Castilhos Ghisi, N. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.141382 · Cited by 72

Dynamic proteome profiling of individual proteins in human skeletal muscle after a high-fat diet and resistance exercise

Camera, D. M., Burniston, J. G., Pogson, M. A., Smiles, W. J., & Hawley, J. A. (2017) · The FASEB Journal · doi:10.1096/fj.201700531r · Cited by 72

Work engagement, burnout and personal accomplishments among social workers: A comparison between those working in children and adults’ services in England

Hussein, S. (2018) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-018-0872-z · Cited by 73

IMPACT OF SPECIFIC PHOBIA ON THE RISK OF ONSET OF MENTAL DISORDERS: A 10-YEAR PROSPECTIVE-LONGITUDINAL COMMUNITY STUDY OF ADOLESCENTS AND YOUNG ADULTS: Research Article: Specific Phobia Predicts Psychopathology

Lieb, R., Miché, M., Gloster, A. T., Beesdo-Baum, K., Meyer, A. H., & Wittchen, H.-U. (2016) · Depression and Anxiety · doi:10.1002/da.22487 · Cited by 73

Indoor visible mold and mold odor are associated with new-onset childhood wheeze in a dose-dependent manner

Shorter, C., Crane, J., Pierse, N., Barnes, P., Kang, J., Wickens, K., Douwes, J., Stanley, T., Täubel, M., Hyvärinen, A., et al. (2018) · Indoor Air · doi:10.1111/ina.12413 · Cited by 72

Brain state expression and transitions are related to complex executive cognition in normative neurodevelopment

Medaglia, J. D., Satterthwaite, T. D., Kelkar, A., Ciric, R., Moore, T. M., Ruparel, K., Gur, R. C., Gur, R. E., & Bassett, D. S. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.048 · Cited by 64

Genetic influences on brain gene expression in rats selected for tameness and aggression

Heyne, H. O., Lautenschläger, S., Nelson, R., Besnier, F., Rotival, M., Cagan, A., Kozhemyakina, R., Plyusnina, I. Z., Trut, L., Carlborg, Ö., et al. (2014) · Genetics · doi:10.1534/genetics.114.168948 · Cited by 72

Beyond Post hoc Explanations: A Comprehensive Framework for Accountable AI in Medical Imaging Through Transparency, Interpretability, and Explainability

Singh, Y., Hathaway, Q. A., Keishing, V., Salehi, S., Wei, Y., Horvat, N., Vera-Garcia, D. V., Choudhary, A., Mula Kh, A., Quaia, E., et al. (2025) · Bioengineering · doi:10.3390/bioengineering12080879 · Cited by 72

Media use, attention, mental health and academic performance among 8 to 12 year old children

Cardoso-Leite, P., Buchard, A., Tissieres, I., Mussack, D., & Bavelier, D. (2021) · PLOS ONE · doi:10.1371/journal.pone.0259163 · Cited by 72

Functional trait diversity across trophic levels determines herbivore impact on plant community biomass

Deraison, H., Badenhausser, I., Loeuille, N., Scherber, C., & Gross, N. (2015) · Ecology Letters · doi:10.1111/ele.12529 · Cited by 69

Quality of life in adolescents and adults with autism spectrum disorder: results from a nationwide Danish survey using self-reports and parental proxy-reports

Knüppel, A., Telléus, G. K., Jakobsen, H., & Lauritsen, M. B. (2018) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2018.09.004 · Cited by 71

Transcriptional network analysis of human astrocytic endfoot genes reveals region-specific associations with dementia status and tau pathology

Simon, M. J., Wang, M. X., Murchison, C. F., Roese, N. E., Boespflug, E. L., Woltjer, R. L., & Iliff, J. J. (2018) · Scientific Reports · doi:10.1038/s41598-018-30779-x · Cited by 71

Maternal speech decreases pain scores and increases oxytocin levels in preterm infants during painful procedures

Filippa, M., Monaci, M. G., Spagnuolo, C., Serravalle, P., Daniele, R., & Grandjean, D. (2021) · Scientific Reports · doi:10.1038/s41598-021-96840-4 · Cited by 71

Cognitive Workload and Learning Assessment During the Implementation of a Next-Generation Air Traffic Control Technology Using Functional Near-Infrared Spectroscopy

Harrison, J., Izzetoglu, K., Ayaz, H., Willems, B., Hah, S., Ahlstrom, U., Woo, H., Shewokis, P. A., Bunce, S. C., & Onaral, B. (2014) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2014.2319822 · Cited by 71

A serious game for children with Attention Deficit Hyperactivity Disorder: Who benefits the most?

Bul, K. C. M., Doove, L. L., Franken, I. H. A., Oord, S. V. D., Kato, P. M., & Maras, A. (2018) · PLOS ONE · doi:10.1371/journal.pone.0193681 · Cited by 71

A multi-center prospective cohort study of patient transfers from the intensive care unit to the hospital ward

Stelfox, H. T., Leigh, J. P., Dodek, P. M., Turgeon, A. F., Forster, A. J., Lamontagne, F., Fowler, R. A., Soo, A., & Bagshaw, S. M. (2017) · Intensive Care Medicine · doi:10.1007/s00134-017-4910-1 · Cited by 70

Machine Learning in Human Olfactory Research

Lötsch, J., Kringel, D., & Hummel, T. (2019) · Chemical Senses · doi:10.1093/chemse/bjy067 · Cited by 71

Meta-emotions in daily life: Associations with emotional awareness and depression

Bailen, N. H., Wu, H., & Thompson, R. J. (2019) · Emotion · doi:10.1037/emo0000488 · Cited by 70

Attacking science on social media: How user comments affect perceived trustworthiness and credibility

Gierth, L., & Bromme, R. (2020) · Public Understanding of Science · doi:10.1177/0963662519889275 · Cited by 71

The Landscape of Recombination Events That Create Nonribosomal Peptide Diversity

Baunach, M., Chowdhury, S., Stallforth, P., & Dittmann, E. (2021) · Molecular Biology and Evolution · doi:10.1093/molbev/msab015 · Cited by 72

Need for cognition in children and adolescents: behavioral correlates and relations to academic achievement and potential.

Luong, C., Strobel, A., Wollschläger, R., Greiff, S., Vainikainen, M.-P., & Preckel, F. (2017) · Learning and Individual Differences · doi:10.1016/j.lindif.2016.10.019 · Cited by 71

The use of miRNA microarrays for the analysis of cancer samples with global miRNA decrease

Wu, D., Hu, Y., Tong, S., Williams, B. R. G., Smyth, G. K., & Gantier, M. P. (2013) · RNA · doi:10.1261/rna.035055.112 · Cited by 71

Does practice quality mediate the relationship between practice time and outcome in mindfulness-based stress reduction?

Goldberg, S. B., Knoeppel, C., Davidson, R. J., & Flook, L. (2020) · Journal of Counseling Psychology · doi:10.1037/cou0000369 · Cited by 73

The legacy of deer overabundance: long-term delays in herbaceous understory recovery

Pendergast, T. H., Hanlon, S. M., Long, Z. M., Royo, A. A., & Carson, W. P. (2016) · Canadian Journal of Forest Research · doi:10.1139/cjfr-2015-0280 · Cited by 71

Respiratory and mental health effects of wildfires: an ecological study in Galician municipalities (north-west Spain)

Caamano-Isorna, F., Figueiras, A., Sastre, I., Montes-Martínez, A., Taracido, & Piñeiro-Lamas, M. (2011) · Environmental Health · doi:10.1186/1476-069x-10-48 · Cited by 71

Test driving ToxCast: endocrine profiling for 1858 chemicals included in phase II

Filer, D., Patisaul, H. B., Schug, T., Reif, D., & Thayer, K. (2014) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2014.09.021 · Cited by 71

Training interval in cardiopulmonary resuscitation.

Oermann, M. H., Krusmark, M. A., Kardong-Edgren, S., Jastrzembski, T. S., & Gluck, K. A. (2020) · PLOS ONE · doi:10.1371/journal.pone.0226786 · Cited by 71

Acute and chronic effects of perfluoroalkyl substance mixtures on larval American bullfrogs (Rana catesbeiana)

Flynn, R. W., Chislock, M. F., Gannon, M. E., Bauer, S. J., Tornabene, B. J., Hoverman, J. T., & Sepúlveda, M. S. (2019) · Chemosphere · doi:10.1016/j.chemosphere.2019.124350 · Cited by 70

Error biases in inner and overt speech: evidence from tongue twisters

Corley, M., Brocklehurst, P. H., & Moat, H. S. (2011) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/a0021321 · Cited by 70

An update on the implication of physical activity on semen quality: a systematic review and meta-analysis

Ibañez-Perez, J., Santos-Zorrozua, B., Lopez-Lopez, E., Matorras, R., & Garcia-Orad, A. (2019) · Archives of Gynecology and Obstetrics · doi:10.1007/s00404-019-05045-8 · Cited by 70

In vivo multiplex molecular imaging of vascular inflammation using surface-enhanced Raman spectroscopy

Noonan, J., Asiala, S. M., Grassia, G., MacRitchie, N., Gracie, K., Carson, J., Moores, M., Girolami, M., Bradshaw, A. C., Guzik, T. J., et al. (2018) · Theranostics · doi:10.7150/thno.28665 · Cited by 69

The familial risk of autism spectrum disorder with and without intellectual disability

Xie, S., Karlsson, H., Dalman, C., Widman, L., Rai, D., Gardner, R. M., Magnusson, C., Sandin, S., Tabb, L. P., Newschaffer, C. J., et al. (2020) · Autism Research · doi:10.1002/aur.2417 · Cited by 64

Patient-related risk factors for in-hospital functional decline in older adults: a systematic review and meta-analysis

Geyskens, L., Jeuris, A., Deschodt, M., Van Grootven, B., Gielen, E., & Flamaing, J. (2022) · Age and Ageing · doi:10.1093/ageing/afac007 · Cited by 70

Birth weight as a risk factor for neonatal mortality: Breed-specific approach to identify at-risk puppies

Mugnier, A., Mila, H., Guiraud, F., Brévaux, J., Lecarpentier, M., Martinez, C., Mariani, C., Adib-Lesaux, A., Chastant-Maillard, S., Saegerman, C., et al. (2019) · Preventive Veterinary Medicine · doi:10.1016/j.prevetmed.2019.104746 · Cited by 70

Effect of the interaction between childhood abuse and rs1360780 of the FKBP5 gene on gray matter volume in a general population sample

Grabe, H. J., Wittfeld, K., Van der Auwera, S., Janowitz, D., Hegenscheid, K., Habes, M., Homuth, G., Barnow, S., John, U., Nauck, M., et al. (2016) · Human Brain Mapping · doi:10.1002/hbm.23123 · Cited by 67

Effects Of Mindfulness-Based Interventions On Disruptive Behavior: A Meta-Analysis Of Single-Case Research

Klingbeil, D. A., Fischer, A. J., Renshaw, T. L., Bloomfield, B. S., Polakoff, B., Willenbrink, J. B., Copek, R. A., & Chan, K. T. (2017) · Psychology in the Schools · doi:10.1002/pits.21982 · Cited by 67

Cyberbullying through the lens of social influence: Predicting cyberbullying perpetration from perceived peer-norm, cyberspace regulations and ingroup processes

Piccoli, V., Carnaghi, A., Grassi, M., Stragà, M., & Bianchi, M. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2019.09.001 · Cited by 71

Sweat-inducing physiological challenges do not result in acute changes in hair cortisol concentrations

Grass, J., Kirschbaum, C., Miller, R., Gao, W., Steudte-Schmiedgen, S., & Stalder, T. (2015) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2014.12.023 · Cited by 70

Smartphone-Based Psychotherapeutic Micro-Interventions to Improve Mood in a Real-World Setting

Meinlschmidt, G., Lee, J.-H., Stalujanis, E., Belardi, A., Oh, M., Jung, E. K., Kim, H.-C., Alfano, J., Yoo, S.-S., & Tegethoff, M. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01112 · Cited by 68

Social jetlag and depression status: Results obtained from the Netherlands Study of Depression and Anxiety

Knapen, S. E., Riemersma-van der Lek, R. F., Antypa, N., Meesters, Y., Penninx, B. W. J. H., & Schoevers, R. A. (2018) · Chronobiology International · doi:10.1080/07420528.2017.1374966 · Cited by 70

Geostatistical modelling of malaria indicator survey data to assess the effects of interventions on the geographical distribution of malaria prevalence in children less than 5 years in Uganda

Ssempiira, J., Nambuusi, B., Kissa, J., Agaba, B., Makumbi, F., Kasasa, S., & Vounatsou, P. (2017) · PLOS ONE · doi:10.1371/journal.pone.0174948 · Cited by 70

Social interaction recruits mentalizing and reward systems in middle childhood

Alkire, D., Levitas, D., Warnell, K. R., & Redcay, E. (2018) · Human Brain Mapping · doi:10.1002/hbm.24221 · Cited by 69

Velocity of temperature and flowering time in wheat – assisting breeders to keep pace with climate change

Zheng, B., Chenu, K., & Chapman, S. C. (2016) · Global Change Biology · doi:10.1111/gcb.13118 · Cited by 64

Comfort and Attitudes Towards Robots Among Young, Middle‐Aged, and Older Adults: A Cross‐Sectional Study

Backonja, U., Hall, A. K., Painter, I., Kneale, L., Lazar, A., Cakmak, M., Thompson, H. J., & Demiris, G. (2018) · Journal of Nursing Scholarship · doi:10.1111/jnu.12430 · Cited by 68

On-field player workload exposure and knee injury risk monitoring via deep learning

Johnson, W. R., Mian, A., Lloyd, D. G., & Alderson, J. A. (2019) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2019.07.002 · Cited by 69

Combining attention training with internet-based cognitive-behavioural self-help for social anxiety: a randomised controlled trial

Boettcher, J., Hasselrot, J., Sund, E., Andersson, G., & Carlbring, P. (2014) · Cognitive Behaviour Therapy · doi:10.1080/16506073.2013.809141 · Cited by 68

Guiding Novice Web Workers in Making Image Descriptions Using Templates

Morash, V. S., Siu, Y.-T., Miele, J. A., Hasty, L., & Landau, S. (2015) · ACM Transactions on Accessible Computing · doi:10.1145/2764916 · Cited by 69

Characterization of the upper respiratory tract microbiomes of patients with pandemic H1N1 influenza

Chaban, B., Albert, A., Links, M. G., Gardy, J., Tang, P., & Hill, J. E. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069559 · Cited by 69

The effect of a biochar temperature series on denitrification: which biochar properties matter?

Weldon, S., Rasse, D. P., Budai, A., Tomic, O., & Dörsch, P. (2019) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2019.04.018 · Cited by 72

A comparative study of family-specific protein–ligand complex affinity prediction based on random forest approach.

Wang, Y., Guo, Y., Kuang, Q., Pu, X., Ji, Y., Zhang, Z., & Li, M. (2015) · Journal of Computer-Aided Molecular Design · doi:10.1007/s10822-014-9827-y · Cited by 69

A demonstration of conservation genomics for threatened species management

Wright, B. R., Farquharson, K. A., McLennan, E. A., Belov, K., Hogg, C. J., & Grueber, C. E. (2020) · Molecular Ecology Resources · doi:10.1111/1755-0998.13211 · Cited by 69

Imagery enhancements increase the effectiveness of cognitive behavioural group therapy for social anxiety disorder: A benchmarking study

McEvoy, P. M., Erceg-Hurn, D. M., Saulsman, L. M., & Thibodeau, M. A. (2015) · Behaviour Research and Therapy · doi:10.1016/j.brat.2014.12.011 · Cited by 69

Interference between conversation and a concurrent visuomotor task.

Boiteau, T. W., Malone, P. S., Peters, S. A., & Almor, A. (2014) · Journal of Experimental Psychology: General · doi:10.1037/a0031858 · Cited by 69

A CSB-PAF1C axis restores processive transcription elongation after DNA damage repair

van den Heuvel, D., Spruijt, C. G., González-Prieto, R., Kragten, A., Paulsen, M. T., Zhou, D., Wu, H., Apelt, K., van der Weegen, Y., Yang, K., et al. (2020) · doi:10.1101/2020.01.04.894808 · Cited by 69

Evidence for the effect of homes on wildfire suppression costs

Gude, P. H., Jones, K., Rasker, R., & Greenwood, M. C. (2013) · International Journal of Wildland Fire · doi:10.1071/wf11095 · Cited by 69

Fate plasticity and reprogramming in genetically distinct populations of Danio leucophores

Lewis, V. M., Saunders, L. M., Larson, T. A., Bain, E. J., Sturiale, S. L., Gur, D., Chowdhury, S., Flynn, J. D., Allen, M. C., Deheyn, D. D., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1901021116 · Cited by 69

Hyperspectral imagery for disaggregation of land surface temperature with selected regression algorithms over different land use land cover scenes

Ghosh, A., & Joshi, P. K. (2014) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2014.07.003 · Cited by 69

Wildfires can increase regulated nitrate, arsenic, and disinfection byproduct violations and concentrations in public drinking water supplies

Pennino, M. J., Leibowitz, S. G., Compton, J. E., Beyene, M. T., & LeDuc, S. D. (2022) · Science of The Total Environment · doi:10.1016/j.scitotenv.2021.149890 · Cited by 69

Development of the Spence Children’s Anxiety Scale - Short Version (SCAS-S)

Ahlen, J., Vigerland, S., & Ghaderi, A. (2018) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/s10862-017-9637-3 · Cited by 69

Contextual Richness and Word Learning: Context Enhances Comprehension but Retrieval Enhances Retention

van den Broek, G. S. E., Takashima, A., Segers, E., & Verhoeven, L. (2018) · Language Learning · doi:10.1111/lang.12285 · Cited by 67

Thermal limits in native and alien freshwater peracarid Crustacea: the role of habitat use and oxygen limitation

Verberk, W. C. E. P., Leuven, R. S. E. W., van der Velde, G., & Gabel, F. (2018) · Functional Ecology · doi:10.1111/1365-2435.13050 · Cited by 68

An exploration of the associations between facets of interoceptive awareness and body image in adolescents

Todd, J., Aspell, J. E., Barron, D., & Swami, V. (2019) · Body Image · doi:10.1016/j.bodyim.2019.10.004 · Cited by 65

Making “what works” work: A meta-analytic study of the effect of treatment integrity on outcomes of evidence-based interventions for juveniles with antisocial behavior

Goense, P. B., Assink, M., Stams, G.-J., Boendermaker, L., & Hoeve, M. (2016) · Aggression and Violent Behavior · doi:10.1016/j.avb.2016.08.003 · Cited by 68

Effects and acceptance of precision education in an AI-supported smart learning environment

Hu, Y.-H. (2022) · Education and Information Technologies · doi:10.1007/s10639-021-10664-3 · Cited by 68

Non-Consensual Synthetic Intimate Imagery: Prevalence, Attitudes, and Knowledge in 10 Countries

Umbach, R., Henry, N., Beard, G. F., & Berryessa, C. M. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642382 · Cited by 73

Documenting or operating: where is time spent in general surgery residency?

Cox, M. L., Farjat, A. E., Risoli, T., Peskoe, S., Goldstein, B. A., Turner, D. A., & Migaly, J. (2018) · Journal of Surgical Education · doi:10.1016/j.jsurg.2018.10.010 · Cited by 68

Functional yogurt with strawberries and chia seeds

Kowaleski, J., Quast, L. B., Steffens, J., Lovato, F., Rodrigues dos Santos, L., Zambiazi da Silva, S., Maschio de Souza, D., & Felicetti, M. A. (2020) · Food Bioscience · doi:10.1016/j.fbio.2020.100726 · Cited by 68

Human development index, children’s health-related quality of life and movement behaviors: a compositional data analysis

Dumuid, D., Maher, C., Lewis, L. K., Stanford, T. E., Martín Fernández, J. A., Ratcliffe, J., Katzmarzyk, P. T., Barreira, T. V., Chaput, J.-P., Fogelholm, M., et al. (2018) · Quality of Life Research · doi:10.1007/s11136-018-1791-x · Cited by 68

Effectiveness of providing university students with a mindfulness-based intervention to increase resilience to stress: 1-year follow-up of a pragmatic randomised controlled trial

Galante, J., Stochl, J., Dufour, G., Vainre, M., Wagner, A. P., & Jones, P. B. (2021) · Journal of Epidemiology and Community Health · doi:10.1136/jech-2020-214390 · Cited by 68

Post-vaccination Omicron infections induce broader immunity across antigenic space than prototype mRNA COVID-19 booster vaccination or primary infection

Wang, W., Lusvarghi, S., Subramanian, R., Epsi, N. J., Wang, R., Goguet, E., Fries, A. C., Echegaray, F., Vassell, R., Coggins, S., et al. (2022) · doi:10.1101/2022.07.05.498883 · Cited by 68

Loneliness during COVID-19: Development and influencing factors

Lampraki, C., Hoffman, A., Roquet, A., & Jopp, D. S. (2022) · PLOS ONE · doi:10.1371/journal.pone.0265900 · Cited by 68

Population-level variability in the social climates of four chimpanzee societies

Cronin, K. A., van Leeuwen, E. J. C., Vreeman, V., & Haun, D. B. M. (2014) · Evolution and Human Behavior · doi:10.1016/j.evolhumbehav.2014.05.004 · Cited by 68

Microplastics in a deep, dimictic lake of the North German Plain with special regard to vertical distribution patterns

Tamminga, M., & Fischer, E. K. (2020) · Environmental Pollution · doi:10.1016/j.envpol.2020.115507 · Cited by 68

Emerging and legacy contaminants across land-use gradients and the risk to aquatic ecosystems

Sardiña, P., Leahy, P., Metzeling, L., Stevenson, G., & Hinwood, A. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.133842 · Cited by 67

Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys

Ferri-García, R., & Rueda, M. D. M. (2020) · PLOS ONE · doi:10.1371/journal.pone.0231500 · Cited by 67

The Universal Form of Treatment Options (UFTO) as an alternative to do not attempt cardiopulmonary resuscitation (DNACPR) orders: a mixed methods evaluation of the effects on clinical practice and patient care

Fritz, Z., Malyon, A., Frankau, J. M., Parker, R. A., Cohn, S., Laroche, C. M., Palmer, C. R., & Fuld, J. P. (2013) · PLoS ONE · doi:10.1371/journal.pone.0070977 · Cited by 67

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