Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 32

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Impact of smoking cessation, coffee and bread consumption on the intestinal microbial composition among Saudis: A cross-sectional study

Harakeh, Steve, Angelakis, Emmanouil, Karamitros, Timokratis, Bachar, Dipankar, Bahijri, Suhad, Ajabnoor, Ghada, Alfadul, Sulaiman M., Farraj, Suha A., Al Amri, Turki, Al-Hejin, Ahmed, Ahmed, Abdalla, Mirza, Ahmed A., Didier, Raoult, Azhar, Esam I.·2020·PLOS ONE

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0230895

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Research works printed but not linked: 38

  1. E Angelakis, 2012, The relationship between gut microbiota and weight gain in humans, Future microbiology, 7, 91, 10.2217/fmb.11.142 · DOI · Paper page
  2. SM Harakeh, 2016, Gut Microbiota: A Contributing Factor to Obesity, Front Cell Infect Microbiol, 6, 95, 10.3389/fcimb.2016.00095 · DOI
  3. A Spor, 2011, Unravelling the effects of the environment and host genotype on the gut microbiome, Nature reviews Microbiology, 9, 279, 10.1038/nrmicro2540 · DOI · Paper page
  4. T Nakayama, 2013, Influence of coffee (Coffea arabica) and galacto-oligosaccharide consumption on intestinal microbiota and the host responses, FEMS microbiology letters, 343, 161, 10.1111/1574-6968.12142 · DOI · Paper page
  5. L Biedermann, 2013, Smoking Cessation Induces Profound Changes in the Composition of the Intestinal Microbiota in Humans, PloS one, 8, 10.1371/journal.pone.0059260 · DOI
  6. E Angelakis, 2015, A Metagenomic Investigation of the Duodenal Microbiota Reveals Links with Obesity, PloS one, 10, e0137784, 10.1371/journal.pone.0137784 · DOI
  7. MA A-SG Darwish, 2014, Lifestyle and Dietary Behaviors among Saudi Preschool Children Attending Primary Health Care Centers, Eastern Saudi Arabia, Int J Family Med, 2014, 432732
  8. SSM Alqarni, 2016, A Review of Prevalence of Obesity in Saudi Arabia, Journal of Obesity & Eating Disorders, 2, 25
  9. HM Al-Hazzaa, 2012, Lifestyle factors associated with overweight and obesity among Saudi adolescents, BMC public health, 12, 354, 10.1186/1471-2458-12-354 · DOI
  10. M Yasir, 2015, Comparison of the gut microbiota of people in France and Saudi Arabia, Nutrition & diabetes, 5, e153, 10.1038/nutd.2015.3 · DOI
  11. ET K, 2015, Lifestyle Factors and their Relation to Measures of Obesity Amongst Adults Living in Jeddah- Saudi Arabia: A Cross-Sectional Study, Curr Res Nutr Food Sci, 3
  12. SM Bahijri, 2016, The Prevalence of Diabetes and Prediabetes in the Adult Population of Jeddah, Saudi Arabia—A Community-Based Survey, PLoS One, 11, e0152559, 10.1371/journal.pone.0152559 · DOI
  13. R Al-Raddadi, 2018, Prevalence of lifestyle practices that might affect bone health in relation to vitamin D status among female Saudi adolescents, Nutrition, 45, 108, 10.1016/j.nut.2017.07.015 · DOI
  14. K Mydaa, 2019, Factors associated with adherence to Mediterranean diet among Saudi non-diabetic patients attending primary health care centers: A cross-sectional study, Journal of Taibah University Medical Sciences, 14, 139, 10.1016/j.jtumed.2019.01.006 · DOI
  15. RC Edgar, 2013, UPARSE: highly accurate OTU sequences from microbial amplicon reads, Nat Methods, 10, 996, 10.1038/nmeth.2604 · DOI · Paper page
  16. EG Zoetendal, 2006, Isolation of RNA from bacterial samples of the human gastrointestinal tract, Nature protocols, 1, 954, 10.1038/nprot.2006.143 · DOI
  17. E Angelakis, 2016, Gut microbiome and dietary patterns in different Saudi populations and monkeys, Scientific Reports, 6, 32191, 10.1038/srep32191 · DOI
  18. E Angelakis, 2016, Glycans affect DNA extraction and induce substantial differences in gut metagenomic studies, Scientific Reports, 6, 26276, 10.1038/srep26276 · DOI
  19. JG Caporaso, 2010, QIIME allows analysis of high-throughput community sequencing data, Nature Methods, 7, 335, 10.1038/nmeth.f.303 · DOI · Paper page
  20. C Quast, 2013, The SILVA ribosomal RNA gene database project: improved data processing and web-based tools, Nucleic acids research, 41, D590
  21. L Guillou, 2013, The Protist Ribosomal Reference database (PR2): a catalog of unicellular eukaryote small sub-unit rRNA sequences with curated taxonomy, Nucleic acids research, 41, D597
  22. N Segata, 2011, Metagenomic biomarker discovery and explanation, Genome biology, 12, R60, 10.1186/gb-2011-12-6-r60 · DOI · Paper page
  23. NV Patin, 2013, Effects of OTU clustering and PCR artifacts on microbial diversity estimates, Microb Ecol, 65, 709, 10.1007/s00248-012-0145-4 · DOI
  24. A CHAO, 2003, Nonparametric estimation of Shannon’s index of diversity when there are unseen species in sample, Environmental and Ecological Statistics, 10, 429, 10.1023/A:1026096204727 · DOI · Paper page
  25. EL Chatelier, 2013, Richness of human gut microbiome correlates with metabolic markers, Nature, 500, 541, 10.1038/nature12506 · DOI · Paper page
  26. J Qin, 2010, A human gut microbial gene catalogue established by metagenomic sequencing, Nature, 464, 59, 10.1038/nature08821 · DOI · Paper page
  27. Y Guo, 2018, Modulation of the gut microbiome: a systematic review of the effect of bariatric surgery, European journal of endocrinology, 178, 43, 10.1530/EJE-17-0403 · DOI
  28. RE Ley, 2008, Evolution of mammals and their gut microbes, Science (New York, NY), 320, 1647, 10.1126/science.1155725 · DOI · Paper page
  29. J Qin, 2010, A human gut microbial gene catalogue established by metagenomic sequencing, Nature, 464, 59, 10.1038/nature08821 · DOI · Paper page
  30. C De Filippo, 2010, Impact of diet in shaping gut microbiota revealed by a comparative study in children from Europe and rural Africa, Proceedings of the National Academy of Sciences of the United States of America, 107, 14691, 10.1073/pnas.1005963107 · DOI · Paper page
  31. T Yatsunenko, 2012, Human gut microbiome viewed across age and geography, Nature, 486, 222, 10.1038/nature11053 · DOI · Paper page
  32. JS Escobar, 2014, The gut microbiota of Colombians differs from that of Americans, Europeans and Asians, BMC microbiology, 14, 311, 10.1186/s12866-014-0311-6 · DOI
  33. SL Schnorr, 2014, Gut microbiome of the Hadza hunter-gatherers, Nature Communications, 5, 3654, 10.1038/ncomms4654 · DOI · Paper page
  34. LA David, 2013, Diet rapidly and reproducibly alters the human gut microbiome, Nature, 505, 559, 10.1038/nature12820 · DOI · Paper page
  35. A Cotillard, 2013, Dietary intervention impact on gut microbial gene richness, Nature, 500, 585, 10.1038/nature12480 · DOI · Paper page
  36. D Gniechwitz, 2007, Dietary fiber from coffee beverage: degradation by human fecal microbiota, Journal of agricultural and food chemistry, 55, 6989, 10.1021/jf070646b · DOI · Paper page
  37. M Jaquet, 2009, Impact of coffee consumption on the gut microbiota: a human volunteer study, International journal of food microbiology, 130, 117, 10.1016/j.ijfoodmicro.2009.01.011 · DOI · Paper page
  38. JL Benjamin, 2012, Smokers with active Crohn’s disease have a clinically relevant dysbiosis of the gastrointestinal microbiota, Inflammatory bowel diseases, 18, 1092, 10.1002/ibd.21864 · DOI

Metadata

Authors
Harakeh, S., Angelakis, E., Karamitros, T., Bachar, D., Bahijri, S., Ajabnoor, G., Alfadul, S. M., Farraj, S. A., Al Amri, T., Al-Hejin, A., Ahmed, A., Mirza, A. A., Didier, R., & Azhar, E. I.
Venue
PLOS ONE
Published
2020-04-29
Volume
15
Issue
4
Pages
e0230895
ISSN
1932-6203
Cited by
32
References
2
Language
en
Funders
King Abdulaziz City for Science and Technology (AR-34-191)

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Impact of smoking cessation, coffee and bread consumption on the intestinal microbial composition among Saudis: A cross-sectional study. https://app.cochat.ai/papers/10.1371/journal.pone.0230895
The paper
Harakeh, S., Angelakis, E., Karamitros, T., Bachar, D., Bahijri, S., Ajabnoor, G., Alfadul, S. M., Farraj, S. A., Al Amri, T., Al-Hejin, A., Ahmed, A., Mirza, A. A., Didier, R., & Azhar, E. I. (2020). Impact of smoking cessation, coffee and bread consumption on the intestinal microbial composition among Saudis: A cross-sectional study. PLOS ONE. https://doi.org/10.1371/journal.pone.0230895

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.