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An Analytical System for Single-Cell Metabolomics of Typical Mammalian Cells Based on Highly Sensitive Nano-Liquid Chromatography Tandem Mass Spectrometry

Overview of attention for article published in Mass Spectrometry, March 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 106)
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
43 Mendeley
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Title
An Analytical System for Single-Cell Metabolomics of Typical Mammalian Cells Based on Highly Sensitive Nano-Liquid Chromatography Tandem Mass Spectrometry
Published in
Mass Spectrometry, March 2020
DOI 10.5702/massspectrometry.a0080
Pubmed ID
Authors

Kohta Nakatani, Yoshihiro Izumi, Kosuke Hata, Takeshi Bamba

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 26%
Student > Master 8 19%
Professor > Associate Professor 4 9%
Student > Ph. D. Student 3 7%
Student > Doctoral Student 2 5%
Other 4 9%
Unknown 11 26%
Readers by discipline Count As %
Chemistry 12 28%
Biochemistry, Genetics and Molecular Biology 6 14%
Agricultural and Biological Sciences 5 12%
Engineering 4 9%
Medicine and Dentistry 2 5%
Other 0 0%
Unknown 14 33%
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 02 November 2020.
All research outputs
#4,550,797
of 25,387,668 outputs
Outputs from Mass Spectrometry
#4
of 106 outputs
Outputs of similar age
#98,027
of 404,770 outputs
Outputs of similar age from Mass Spectrometry
#1
of 5 outputs
Altmetric has tracked 25,387,668 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 106 research outputs from this source. They receive a mean Attention Score of 2.5. 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 404,770 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 75% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them