The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Metagenomic Analysis of Human Diarrhea: Viral Detection and Discovery
Open accessAbstract
Worldwide, approximately 1.8 million children die from diarrhea annually, and millions more suffer multiple episodes of nonfatal diarrhea. On average, in up to 40% of cases, no etiologic agent can be identified. The advent of metagenomic sequencing has enabled systematic and unbiased characterization of microbial populations; thus, metagenomic approaches have the potential to define the spectrum of viruses, including novel viruses, present in stool during episodes of acute diarrhea. The detection of novel or unexpected viruses would then enable investigations to assess whether these agents play a causal role in human diarrhea. In this study, we characterized the eukaryotic viral communities present in diarrhea specimens from 12 children by employing a strategy of "micro-mass sequencing" that entails minimal starting sample quantity (<100 mg stool), minimal sample purification, and limited sequencing (384 reads per sample). Using this methodology we detected known enteric viruses as well as multiple sequences from putatively novel viruses with only limited sequence similarity to viruses in GenBank.
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.
Integrity signals
Registry
Cites
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.
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
Base-Calling of Automated Sequencer Traces Using Phred. II. Error Probabilities
Ewing, B., & Green, P. (1998) · Genome Research · doi:10.1101/gr.8.3.186 · Cited by 5,439
Environmental genome shotgun sequencing of the sargasso sea
Venter, J. C., Remington, K., Heidelberg, J. F., Halpern, A. L., Rusch, D., Eisen, J. A., Wu, D., Paulsen, I., Nelson, K. E., Nelson, W., et al. (2004) · Science · doi:10.1126/science.1093857 · Cited by 4,376
Community structure and metabolism through reconstruction of microbial genomes from the environment
Tyson, G. W., Chapman, J., Hugenholtz, P., Allen, E. E., Ram, R. J., Richardson, P. M., Solovyev, V. V., Rubin, E. M., Rokhsar, D. S., & Banfield, J. F. (2004) · Nature · doi:10.1038/nature02340 · Cited by 2,417
Cited by
Disease-Specific Alterations in the Enteric Virome in Inflammatory Bowel Disease
Norman, J. M., Handley, S. A., Baldridge, M. T., Droit, L., Liu, C. Y., Keller, B. C., Kambal, A., Monaco, C. L., Zhao, G., Fleshner, P., et al. (2015) · Cell · doi:10.1016/j.cell.2015.01.002 · Cited by 1,285
Self-citationEarly life dynamics of the human gut virome and bacterial microbiome in infants
Lim, E. S., Zhou, Y., Zhao, G., Bauer, I. K., Droit, L., Ndao, I. M., Warner, B. B., Tarr, P. I., Wang, D., & Holtz, L. R. (2015) · Nature Medicine · doi:10.1038/nm.3950 · Cited by 658
Self-citationLaboratory mice born to wild mice have natural microbiota and model human immune responses
Rosshart, S. P., Herz, J., Vassallo, B. G., Hunter, A., Wall, M. K., Badger, J. H., McCulloch, J. A., Anastasakis, D. G., Sarshad, A. A., Leonardi, I., et al. (2019) · Science · doi:10.1126/science.aaw4361 · Cited by 572
Self-citationRules of engagement: molecular insights from host–virus arms races
Daugherty, M. D., & Malik, H. S. (2012) · Annual Review of Genetics · doi:10.1146/annurev-genet-110711-155522 · Cited by 515
De Benedictis, P., Schultz-Cherry, S., Burnham, A., & Cattoli, G. (2011) · Infection, Genetics and Evolution · doi:10.1016/j.meegid.2011.07.024 · Cited by 479
“They termed the virus MLB1 (AstV-MLB1) and went onto characterize the genome, demonstrating that AstV-MLB1 was highly divergent from any of the known astroviruses (Finkbeiner et al., 2008b).”
BackgroundMethod
Metadata
- Authors
- Finkbeiner, S. R., Allred, A. F., Tarr, P. I., Klein, E. J., Kirkwood, C. D., & Wang, D.
- Venue
- PLoS Pathogens
- Publisher
- Public Library of Science (PLoS)
- Published
- 2008-02-29
- Volume
- 4
- Issue
- 2
- Pages
- e1000011
- ISSN
- 1553-7366 (ISSN-L)
- 1553-7374
- OpenAlex
- W2096605667
- Cited by
- 361
- References
- 3
- FWCI
- 16.85
- Type
- journal article
- Language
- en
- Open access
- gold
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: Metagenomic Analysis of Human Diarrhea: Viral Detection and Discovery. https://app.cochat.ai/papers/10.1371/journal.ppat.1000011
- The paper
- Finkbeiner, S. R., Allred, A. F., Tarr, P. I., Klein, E. J., Kirkwood, C. D., & Wang, D. (2008). Metagenomic Analysis of Human Diarrhea: Viral Detection and Discovery. PLoS Pathogens. https://doi.org/10.1371/journal.ppat.1000011
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.
