Evidence map›Paper›PMID 40600061›Full record

ArticlemLife2025

Fanfan Meng, Ang Hu, Kyoung-Soon Jang, Jianjun Wang

Abstract read
In one paragraph

Article in mLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. mLife · 2025
    Article
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

4 authors.

Fanfan MengState Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences Nanjing China.ORCID https://orcid.org/0000-0001-5718-1621
Ang HuState Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences Nanjing China.ORCID https://orcid.org/0000-0002-5755-2442
Kyoung-Soon JangBio-Chemical Analysis Team, Korea Basic Science Institute Cheongju South Korea.ORCID https://orcid.org/0000-0001-5451-5788
Jianjun WangState Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences Nanjing China.ORCID https://orcid.org/0000-0001-7039-7136

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dissolved organic matter (DOM) contains thousands of molecules and is key for biogeochemical cycles in aquatic and terrestrial ecosystems by interacting with microbes. Over the last decade, the study of DOM has been advanced and accelerated with the developments of instrumental and statistical approaches. However, it is still challenging in statistical analyses, data visualization, and theoretical interpretations largely due to the complexity of molecular composition and underlying ecological mechanisms. In this study, we developed an R package

Indexed as

dissolved organic matterecological interpretationFT‐ICR MSR packagestatistical analysis

Identifiers

PMID40600061
PMCPMC12207904

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.