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False positives complicate ancient pathogen identifications using high-throughput shotgun sequencing

Overview of attention for article published in BMC Research Notes, February 2014
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
14 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
86 Mendeley
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Title
False positives complicate ancient pathogen identifications using high-throughput shotgun sequencing
Published in
BMC Research Notes, February 2014
DOI 10.1186/1756-0500-7-111
Pubmed ID
Authors

Michael G Campana, Nelly Robles García, Frank J Rühli, Noreen Tuross

Abstract

Identification of historic pathogens is challenging since false positives and negatives are a serious risk. Environmental non-pathogenic contaminants are ubiquitous. Furthermore, public genetic databases contain limited information regarding these species. High-throughput sequencing may help reliably detect and identify historic pathogens.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 2 2%
Germany 1 1%
South Africa 1 1%
United Kingdom 1 1%
Estonia 1 1%
United States 1 1%
Unknown 79 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 35%
Student > Master 11 13%
Researcher 10 12%
Student > Bachelor 6 7%
Student > Doctoral Student 4 5%
Other 14 16%
Unknown 11 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 47%
Biochemistry, Genetics and Molecular Biology 13 15%
Arts and Humanities 5 6%
Medicine and Dentistry 5 6%
Social Sciences 4 5%
Other 6 7%
Unknown 13 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 31 May 2017.
All research outputs
#1,409,868
of 24,694,993 outputs
Outputs from BMC Research Notes
#160
of 4,448 outputs
Outputs of similar age
#14,002
of 226,486 outputs
Outputs of similar age from BMC Research Notes
#5
of 73 outputs
Altmetric has tracked 24,694,993 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,448 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. 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 226,486 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 93% of its contemporaries.
We're also able to compare this research output to 73 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.