In one paragraphArticle in Science advances, 2026. 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
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
12 authors.
Kan ZhaoState Key Laboratory of Climate System Prediction and Risk Management; and Key Laboratory for Virtual Geographic Environment of Ministry of Education, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China.ORCID 0000-0001-8662-9739 Yijia LiangState Key Laboratory of Climate System Prediction and Risk Management; and Key Laboratory for Virtual Geographic Environment of Ministry of Education, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China.ORCID 0000-0003-4429-8542 Changchun HuangState Key Laboratory of Climate System Prediction and Risk Management; and Key Laboratory for Virtual Geographic Environment of Ministry of Education, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China.ORCID 0000-0002-3865-6414 Yongjin WangState Key Laboratory of Climate System Prediction and Risk Management; and Key Laboratory for Virtual Geographic Environment of Ministry of Education, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China.ORCID 0000-0001-6021-2724 Weiyi SunState Key Laboratory of Climate System Prediction and Risk Management; and Key Laboratory for Virtual Geographic Environment of Ministry of Education, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China.ORCID 0000-0001-9043-706X Jianjun YinKey Laboratory of Karst Dynamics, Ministry of Natural Resources and Guangxi; and Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China.ORCID 0000-0002-5673-6151 Di HuState Key Laboratory of Climate System Prediction and Risk Management; and Key Laboratory for Virtual Geographic Environment of Ministry of Education, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China.ORCID 0000-0002-9125-9979 Mi YanState Key Laboratory of Climate System Prediction and Risk Management; and Key Laboratory for Virtual Geographic Environment of Ministry of Education, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China.ORCID 0000-0003-4730-3781 Liang NingState Key Laboratory of Climate System Prediction and Risk Management; and Key Laboratory for Virtual Geographic Environment of Ministry of Education, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China.ORCID 0000-0001-5629-0914 Zhaoyuan YuState Key Laboratory of Climate System Prediction and Risk Management; and Key Laboratory for Virtual Geographic Environment of Ministry of Education, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China.ORCID 0000-0003-4225-9435 R Lawrence EdwardsDepartment of Geology and Geophysics, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0002-7027-5881 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
The East Asian summer monsoon anomalies, responsible for floods and droughts across China, pose great challenges to the climate resilience of human society. However, mechanisms and impacts of decadal-scale monsoon variability remain poorly understood due to limited instrumental data. Our annual-resolution speleothem record (1787-2007 CE) from China, along with simulation results, reveals a persistent monsoon weakening since the end of the Little Ice Age, superimposed by decadal oscillations. Five monsoon extremes, triggered by diminished solar output and further amplified by ocean-atmosphere processes in the Atlantic and Pacific oceans, caused widespread megadroughts in China. One marked flood-drought abrupt alternation in the 1850s substantially contributed to the Taiping Rebellion (1851-1864 CE). Our findings demonstrate that monsoon anomalies can cause crop failure and exacerbate overpopulation, ultimately leading to social unrest, particularly in regions experiencing rapid demographic expansion.
Identifiers
PMID42090504
PMCPMC13148317
What OpenQuestion holds
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