Evidence map›Paper›PMID 30828321›Full record

ArticleFrontiers in microbiology2019

Mary Batrich, Laura Maskeri, Ryan Schubert, Brian Ho, Melanie Kohout, Malik Abdeljaber, Ahmed Abuhasna, Mutah Kholoki, Penelope Psihogios, Tahir Razzaq and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Draft genome sequences of twoMicrobiology resource announcements · 2026
    Article
  3. Article
  4. Article
  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 1 institution in 1 country.

Mary BatrichNiehoff School of Nursing, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, United States.
Laura MaskeriBioinformatics Program, Loyola University Chicago, Chicago, IL, United States.
Ryan SchubertBioinformatics Program, Loyola University Chicago, Chicago, IL, United States.
Brian HoBioinformatics Program, Loyola University Chicago, Chicago, IL, United States.
Melanie KohoutDepartment of Biology, Loyola University Chicago, Chicago, IL, United States.
Malik AbdeljaberDepartment of Biology, Loyola University Chicago, Chicago, IL, United States.
Ahmed AbuhasnaDepartment of Biology, Loyola University Chicago, Chicago, IL, United States.
Mutah KholokiDepartment of Biology, Loyola University Chicago, Chicago, IL, United States.
Penelope PsihogiosDepartment of Biology, Loyola University Chicago, Chicago, IL, United States.
Tahir RazzaqDepartment of Biology, Loyola University Chicago, Chicago, IL, United States.
Samrita SawhneyDepartment of Biology, Loyola University Chicago, Chicago, IL, United States.
Salah SiddiquiDepartment of Biology, Loyola University Chicago, Chicago, IL, United States.
Eyad XoubiDepartment of Biology, Loyola University Chicago, Chicago, IL, United States.
Alexandria CooperDepartment of Biology, Loyola University Chicago, Chicago, IL, United States.
Thomas HatzopoulosDepartment of Computer Science, Loyola University Chicago, Chicago, IL, United States.
Catherine PutontiBioinformatics Program, Loyola University Chicago, Chicago, IL, United States.
Loyola University Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Freshwater lakes are home to bacterial communities with 1000s of interdependent species. Numerous high-throughput 16S rRNA gene sequence surveys have provided insight into the microbial taxa found within these waters. Prior surveys of Lake Michigan waters have identified bacterial species common to freshwater lakes as well as species likely introduced from the urban environment. We cultured bacterial isolates from samples taken from the Chicago nearshore waters of Lake Michigan in an effort to look more closely at the genetic diversity of species found there within. The most abundant genus detected was

Indexed as

freshwatergenomicsheavy metal resistance bacteriaLake MichiganPseudomonas

Identifiers

PMID30828321
PMCPMC6384249
OpenAlexW2914782328

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.