Evidence map›Paper›PMID 31887180›Full record

ArticlePloS one2019

Simulating the route of the Tang-Tibet Ancient Road for one branch of the Silk Road across the Qinghai-Tibet Plateau.

Zhuoma Lancuo, Guangliang Hou, Changjun Xu, Yuying Liu, Yan Zhu, Wen Wang, Yongkun Zhang

Abstract readHistorical Article
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

7 authors.

Zhuoma LancuoKey Laboratory of Physical Geography and Environmental Process, College of Geography, Qinghai Normal University, Xining, Qinghai Province, China.
Guangliang HouKey Laboratory of Physical Geography and Environmental Process, College of Geography, Qinghai Normal University, Xining, Qinghai Province, China.ORCID 0000-0001-6084-182X
Changjun XuKey Laboratory of Geomantic Technology and Application of Qinghai Province, Provincial geomantic Center of Qinghai, Xining, Qinghai Province, China.
Yuying LiuDepartment of computer technology and application, Qinghai University, Xining, Qinghai Province, China.
Yan ZhuKey Laboratory of Physical Geography and Environmental Process, College of Geography, Qinghai Normal University, Xining, Qinghai Province, China.
Wen WangState Key Laboratories of Plateau Ecology and Agriculture, Qinghai University, Xining, Qinghai Province, China.
Yongkun ZhangState Key Laboratories of Plateau Ecology and Agriculture, Qinghai University, Xining, Qinghai Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the only route formed in the inner Qinghai-Tibet plateau, the Tang-Tibet Ancient Road promoted the extension of the Overland Silk Roads to the inner Qinghai-Tibet plateau. Considering the Complex geographical and environmental factors of inner Qinghai-Tibet Plateau, we constructed a weighted trade route network based on geographical integration factors, and then adopted the principle of minimum cost and the shortest path on the network to simulate the ancient Tang-Tibet Ancient Road. We then compared the locations of known key points documented in the literature, and found a significant correspondence in the Qinghai section. However, there was a certain deviation between the key points recorded in Tibetan section and the simulated route; we found that the reason is the relative oxygen content (ROC) became a limited factor of the choice of the Tibetan section road. Moreover, we argue that the warm and humid climate and the human migration to the hinterland of the Qinghai-Tibet plateau were the fundamental driving forces for the formation of the Tang-Tibet Ancient Road.

Indexed as

ClimateGeographyHistory, AncientHuman MigrationHumansSilkTibetSilk

Identifiers

PMID31887180
PMCPMC6936881

What OpenQuestion holds

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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.