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Metagenomic analysis of viral nucleic acid extraction methods in respiratory clinical samples

Overview of attention for article published in BMC Genomics, October 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

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2 X users

Citations

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41 Dimensions

Readers on

mendeley
65 Mendeley
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Title
Metagenomic analysis of viral nucleic acid extraction methods in respiratory clinical samples
Published in
BMC Genomics, October 2018
DOI 10.1186/s12864-018-5152-5
Pubmed ID
Authors

Dan Zhang, Xiuyu Lou, Hao Yan, Junhang Pan, Haiyan Mao, Hongfeng Tang, Yan Shu, Yun Zhao, Lei Liu, Junping Li, Jiang Chen, Yanjun Zhang, Xuejun Ma

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 15%
Student > Ph. D. Student 8 12%
Student > Bachelor 8 12%
Student > Master 7 11%
Student > Doctoral Student 3 5%
Other 10 15%
Unknown 19 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 20%
Agricultural and Biological Sciences 11 17%
Immunology and Microbiology 5 8%
Veterinary Science and Veterinary Medicine 3 5%
Business, Management and Accounting 2 3%
Other 7 11%
Unknown 24 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 12 February 2019.
All research outputs
#14,427,892
of 23,108,064 outputs
Outputs from BMC Genomics
#5,731
of 10,708 outputs
Outputs of similar age
#194,525
of 350,222 outputs
Outputs of similar age from BMC Genomics
#77
of 189 outputs
Altmetric has tracked 23,108,064 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,708 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 350,222 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
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 gotten more attention than average, scoring higher than 52% of its contemporaries.