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De novo identification of viral pathogens from cell culture hologenomes

Overview of attention for article published in BMC Research Notes, January 2012
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

policy
1 policy source
twitter
1 X user
facebook
5 Facebook pages
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
41 Mendeley
citeulike
1 CiteULike
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Title
De novo identification of viral pathogens from cell culture hologenomes
Published in
BMC Research Notes, January 2012
DOI 10.1186/1756-0500-5-11
Pubmed ID
Authors

Ashok Patowary, Rajendra Kumar Chauhan, Meghna Singh, Shamsudheen KV, Vinita Periwal, Kushwaha KP, Gajanand N Sapkal, Vijay P Bondre, Milind M Gore, Sridhar Sivasubbu, Vinod Scaria

Abstract

Fast, specific identification and surveillance of pathogens is the cornerstone of any outbreak response system, especially in the case of emerging infectious diseases and viral epidemics. This process is generally tedious and time-consuming thus making it ineffective in traditional settings. The added complexity in these situations is the non-availability of pure isolates of pathogens as they are present as mixed genomes or hologenomes. Next-generation sequencing approaches offer an attractive solution in this scenario as it provides adequate depth of sequencing at fast and affordable costs, apart from making it possible to decipher complex interactions between genomes at a scale that was not possible before. The widespread application of next-generation sequencing in this field has been limited by the non-availability of an efficient computational pipeline to systematically analyze data to delineate pathogen genomes from mixed population of genomes or hologenomes.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
Chile 1 2%
France 1 2%
New Zealand 1 2%
Denmark 1 2%
United States 1 2%
Unknown 34 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 27%
Researcher 10 24%
Student > Master 4 10%
Student > Bachelor 3 7%
Professor 3 7%
Other 9 22%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 46%
Biochemistry, Genetics and Molecular Biology 7 17%
Medicine and Dentistry 5 12%
Computer Science 4 10%
Engineering 2 5%
Other 2 5%
Unknown 2 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 18 September 2023.
All research outputs
#4,474,966
of 25,013,816 outputs
Outputs from BMC Research Notes
#653
of 4,480 outputs
Outputs of similar age
#36,018
of 252,994 outputs
Outputs of similar age from BMC Research Notes
#14
of 78 outputs
Altmetric has tracked 25,013,816 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,480 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 85% 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 252,994 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.