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The International Diabetes Federation diabetes atlas methodology for estimating global and national prevalence of diabetes in adults
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Citations
Cited by
Saeedi, P., Petersohn, I., Salpea, P., Malanda, B., Karuranga, S., Unwin, N., Colagiuri, S., Guariguata, L., Motala, A. A., Ogurtsova, K., et al. (2019) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2019.107843 · Cited by 10,792
Self-citationSun, H., Saeedi, P., Karuranga, S., Pinkepank, M., Ogurtsova, K., Duncan, B. B., Stein, C., Basit, A., Chan, J. C. N., Mbanya, J. C., et al. (2022) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2021.109119 · Cited by 10,123
Global estimates of diabetes prevalence for 2013 and projections for 2035
Guariguata, L., Whiting, D. R., Hambleton, I., Beagley, J., Linnenkamp, U., & Shaw, J. E. (2014) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2013.11.002 · Cited by 4,642
Self-citationGlobal estimates of undiagnosed diabetes in adults
Beagley, J., Guariguata, L., Weil, C., & Motala, A. A. (2014) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2013.11.001 · Cited by 586
Self-citationNon-invasive glucose monitoring technology in diabetes management: A review
Vashist, S. K. (2012) · Analytica Chimica Acta · doi:10.1016/j.aca.2012.03.043 · Cited by 575
Potential of insulin nanoparticle formulations for oral delivery and diabetes treatment.
Wong, C. Y., Al-Salami, H., & Dass, C. R. (2017) · Journal of Controlled Release · doi:10.1016/j.jconrel.2017.09.003 · Cited by 257
Gao, D., Ning, N., Wang, C., Wang, Y., Li, Q., Meng, Z., Liu, Y., & Li, Q. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073965 · Cited by 232
Telemedicine Application in the Care of Diabetes Patients: Systematic Review and Meta-Analysis
Marcolino, M. S., Maia, J. X., Alkmim, M. B. M., Boersma, E., & Ribeiro, A. L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0079246 · Cited by 215
“Diabetes mellitus (DM) has taken epidemic proportions throughout the world and is considered among the most challenging health problems in the 21st century [1].”
BackgroundPereira, P. F., Alfenas, R. D. C. G., & Araújo, R. M. A. (2014) · Jornal de Pediatria · doi:10.1016/j.jped.2013.02.024 · Cited by 89
Bajgrowicz-Cieslak, M., Alqurashi, Y., Elshereif, M. I., Yetisen, A. K., Hassan, M. U., & Butt, H. (2017) · RSC Advances · doi:10.1039/c7ra11184c · Cited by 32
Metadata
- Authors
- Guariguata, L., Whiting, D., Weil, C., & Unwin, N.
- Venue
- Diabetes Research and Clinical Practice
- Publisher
- Elsevier BV
- Published
- 2011-12
- Volume
- 94
- Issue
- 3
- Pages
- 322-332
- ISSN
- 0168-8227 (ISSN-L)
- OpenAlex
- W1969616767
- Cited by
- 441
- References
- 0
- FWCI
- 48.72
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.