Evidence map›Paper›PMID 42728977›Full record

ArticleRoyal Society open science2026

Percolation transition of

Weiyu Zhang, Furong Jia, Jianying Wang, Yu Liu, Gezhi Xiu

Abstract read
In one paragraph

Article in Royal Society open science, 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
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

5 authors.

Weiyu ZhangInstitute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing, People's Republic of China.ORCID https://orcid.org/0000-0002-1086-9055
Furong JiaInstitute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing, People's Republic of China.
Jianying WangThrust of Urban Governance and Design, Society Hub, The Hong Kong University of Science and Technology - Guangzhou Campus, Guangzhou, Guangdong, People's Republic of China.ORCID https://orcid.org/0000-0003-2199-4393
Yu LiuInstitute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing, People's Republic of China.ORCID https://orcid.org/0000-0002-0016-2902
Gezhi XiuInstitute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing, People's Republic of China.ORCID https://orcid.org/0000-0003-0475-6617

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cities are held together by a small subset of recurrent origin-destination ties, but extracting this backbone from noisy mobility data remains difficult, and most models still prioritize distance over connectivity. We build directed mobility networks from 48 months of mobile-phone data across eight US cities (2018-2021) and apply a rank-based percolation filter that retains, for each origin, its top-

Indexed as

complex systemhuman mobilitypercolationurban science

Identifiers

PMID42728977
PMCPMC13561036

What OpenQuestion holds

Textmetadata
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.