Evidence map›Paper›PMID 41852416›Full record

ArticleFrontiers in microbiomes2025

Serial nitrogen-phosphate co-limitation controls the primary productivity in the transitional waters of northern South China Sea and the Pearl River Estuary.

Yuanhao Liu, Xunying Zhou, Ruoyu Niu, Rongman Yan, Shuaishuai Xu, Kangli Guo, Jing Guo, Jianchang Tao, Sha Wu, Shengwei Hou

Abstract read
In one paragraph

Article in Frontiers in microbiomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Yuanhao LiuDepartment of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Xunying ZhouDepartment of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Ruoyu NiuDepartment of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Rongman YanDepartment of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Shuaishuai XuDepartment of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Kangli GuoDepartment of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Jing GuoDepartment of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Jianchang TaoDepartment of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Sha WuDepartment of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Shengwei HouDepartment of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nitrogen (N) and phosphorus (P) are essential nutrients for marine phytoplankton, playing a crucial role in shaping the structure of microbial communities. Nutrients in coastal seawater are influenced by multiple factors, including ocean currents, terrestrial runoff, and anthropogenic activities, leading to region-specific patterns of nutrient limitation. This study investigates nutrient limitation in the transitional waters near Sanmen Island, located at the confluence of the Pearl River Estuary (PRE) and the northern South China Sea. Using 4-hourly

Indexed as

cyanobacterianitrogen limitationPearl River Estuaryprimary productivitySouth China Sea

Identifiers

PMID41852416
PMCPMC12993680

What OpenQuestion holds

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LicenceCC BY
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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.