Article in Biology, 2021. 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
0.5field-weighted citation impact, top 28% of its field
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, 5 citations in OpenAlex.
Universitat Pompeu Fabra · ESUniversity of Bologna · ITL. N. Gumilyov Eurasian National University · KZUniversity College London · GBInstitució Catalana de Recerca i Estudis Avançats · ESInternational Centre for Advanced Mediterranean Agronomic Studies · ITUniversitat Autònoma de Barcelona · ESUniversity of the Basque Country · ES
Funding
QUANTITATIVE STUDIES OF THE CENTRAL VISUAL SYSTEMR01EY002017 · NEI · NEW YORK UNIVERSITY · PI MOVSHON, J ANTHONY · 1986 to 2008
$1.7M
Departament d'Economia i Coneixement de la Generalitat de Catalunya GRC 2017 SGR 880European Union Horizon 2020 grant agreement No. 864203MINECO, Spain BFU2017-86471-PMinisterio de Ciencia, Innovación y Universidades PGC2018-0955931-B-100Ministry of the Education and Science of the Republic of Kazakhstan Grant number AP09261134
6 · The paper itself
Abstract
The Asian Central Steppe, consisting of current-day Kazakhstan and Russia, has acted as a highway for major migrations throughout history. Therefore, describing the genetic composition of past populations in Central Asia holds value to understanding human mobility in this pivotal region. In this study, we analyse paleogenomic data generated from five humans from Kuygenzhar, Kazakhstan. These individuals date to the early to mid-18th century, shortly after the Kazakh Khanate was founded, a union of nomadic tribes of Mongol Golden Horde and Turkic origins. Genomic analysis identifies that these individuals are admixed with varying proportions of East Asian ancestry, indicating a recent admixture event from East Asia. The high amounts of DNA from the anaerobic Gram-negative bacteria
Indexed as
ancient pathogensbacteriaCentral Asian steppepaleogenomicsred complex
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.
Genomic Analysis of 18th-Century Kazakh Individuals and Their Oral Microbiome. · full record | OpenQuestion