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The diagnostic value of metagenomic next-generation sequencing for identifying Streptococcus pneumoniae in paediatric bacterial meningitis

Overview of attention for article published in BMC Infectious Diseases, June 2019
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Readers on

mendeley
51 Mendeley
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Title
The diagnostic value of metagenomic next-generation sequencing for identifying Streptococcus pneumoniae in paediatric bacterial meningitis
Published in
BMC Infectious Diseases, June 2019
DOI 10.1186/s12879-019-4132-y
Pubmed ID
Authors

Xi-xi Zhang, Ling-yun Guo, Lin-lin Liu, Ao Shen, Wen-ya Feng, Wen-hua Huang, Hui-li Hu, Bing Hu, Xin Guo, Tian-ming Chen, He-ying Chen, Yong-qiang Jiang, Gang Liu

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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 12%
Researcher 5 10%
Student > Doctoral Student 5 10%
Student > Bachelor 5 10%
Student > Master 5 10%
Other 10 20%
Unknown 15 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 24%
Medicine and Dentistry 10 20%
Unspecified 2 4%
Immunology and Microbiology 2 4%
Agricultural and Biological Sciences 1 2%
Other 2 4%
Unknown 22 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 December 2022.
All research outputs
#2,953,553
of 23,275,636 outputs
Outputs from BMC Infectious Diseases
#950
of 7,791 outputs
Outputs of similar age
#63,865
of 352,990 outputs
Outputs of similar age from BMC Infectious Diseases
#22
of 209 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,791 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done well, scoring higher than 87% 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 352,990 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 81% of its contemporaries.
We're also able to compare this research output to 209 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.