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Competitive mapping allows for the identification and exclusion of human DNA contamination in ancient faunal genomic datasets

Overview of attention for article published in BMC Genomics, November 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
twitter
18 X users
facebook
1 Facebook page

Readers on

mendeley
40 Mendeley
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Title
Competitive mapping allows for the identification and exclusion of human DNA contamination in ancient faunal genomic datasets
Published in
BMC Genomics, November 2020
DOI 10.1186/s12864-020-07229-y
Pubmed ID
Authors

Tatiana R. Feuerborn, Eleftheria Palkopoulou, Tom van der Valk, Johanna von Seth, Arielle R. Munters, Patrícia Pečnerová, Marianne Dehasque, Irene Ureña, Erik Ersmark, Vendela Kempe Lagerholm, Maja Krzewińska, Ricardo Rodríguez-Varela, Anders Götherström, Love Dalén, David Díez-del-Molino

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 33%
Student > Master 8 20%
Researcher 6 15%
Student > Bachelor 3 8%
Professor 1 3%
Other 1 3%
Unknown 8 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 30%
Biochemistry, Genetics and Molecular Biology 11 28%
Social Sciences 3 8%
Environmental Science 2 5%
Arts and Humanities 1 3%
Other 1 3%
Unknown 10 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 05 February 2021.
All research outputs
#1,650,839
of 23,267,128 outputs
Outputs from BMC Genomics
#378
of 10,735 outputs
Outputs of similar age
#46,948
of 508,818 outputs
Outputs of similar age from BMC Genomics
#7
of 189 outputs
Altmetric has tracked 23,267,128 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,735 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 96% 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 508,818 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 90% of its contemporaries.
We're also able to compare this research output to 189 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 96% of its contemporaries.