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Genetic affinities among the historical provinces of Romania and Central Europe as revealed by an mtDNA analysis

Overview of attention for article published in BMC Genomic Data, March 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#14 of 1,204)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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2 news outlets
twitter
32 X users
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5 Facebook pages
wikipedia
1 Wikipedia page
googleplus
2 Google+ users

Citations

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12 Dimensions

Readers on

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27 Mendeley
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Title
Genetic affinities among the historical provinces of Romania and Central Europe as revealed by an mtDNA analysis
Published in
BMC Genomic Data, March 2017
DOI 10.1186/s12863-017-0487-5
Pubmed ID
Authors

Relu Cocoş, Sorina Schipor, Montserrat Hervella, Petru Cianga, Roxana Popescu, Claudia Bănescu, Mihai Constantinescu, Alina Martinescu, Florina Raicu

Abstract

As a major crossroads between Asia and Europe, Romania has experienced continuous migration and invasion episodes. The precise routes may have been shaped by the topology of the territory and had diverse impacts on the genetic structure of mitochondrial DNA (mtDNA) in historical Romanian provinces. We studied 714 Romanians from all historical provinces, Wallachia, Dobrudja, Moldavia, and Transylvania, by analyzing the mtDNA control region and coding markers to encompass the complete landscape of mtDNA haplogroups. We observed a homogenous distribution of the majority of haplogroups among the Romanian provinces and a clear association with the European populations. A principal component analysis and multidimensional scaling analysis supported the genetic similarity of the Wallachia, Moldavia, and Dobrudja groups with the Balkans, while the Transylvania population was closely related to Central European groups. These findings could be explained by the topology of the Romanian territory, where the Carpathian Arch played an important role in migration patterns. Signals of Asian maternal lineages were observed in all Romanian historical provinces, indicating gene flow along the migration routes through East Asia and Europe. Our current findings based on the mtDNA analysis of populations in historical provinces of Romania suggest similarity between populations in Transylvania and Central Europe, supported both by the observed clines in haplogroup frequencies for several European and Asian maternal lineages and MDS analyses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 32 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Student > Doctoral Student 3 11%
Researcher 3 11%
Student > Bachelor 2 7%
Professor > Associate Professor 2 7%
Other 4 15%
Unknown 8 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 30%
Biochemistry, Genetics and Molecular Biology 4 15%
Neuroscience 2 7%
Social Sciences 2 7%
Arts and Humanities 1 4%
Other 4 15%
Unknown 6 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 53. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 January 2024.
All research outputs
#797,142
of 25,382,440 outputs
Outputs from BMC Genomic Data
#14
of 1,204 outputs
Outputs of similar age
#16,514
of 321,098 outputs
Outputs of similar age from BMC Genomic Data
#1
of 19 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 321,098 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.