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SCoPE-MS: mass spectrometry of single mammalian cells quantifies proteome heterogeneity during cell differentiation

Overview of attention for article published in Genome Biology, October 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
6 news outlets
blogs
7 blogs
twitter
95 X users
facebook
1 Facebook page
wikipedia
2 Wikipedia pages
googleplus
2 Google+ users
video
1 YouTube creator

Citations

dimensions_citation
597 Dimensions

Readers on

mendeley
782 Mendeley
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Title
SCoPE-MS: mass spectrometry of single mammalian cells quantifies proteome heterogeneity during cell differentiation
Published in
Genome Biology, October 2018
DOI 10.1186/s13059-018-1547-5
Pubmed ID
Authors

Bogdan Budnik, Ezra Levy, Guillaume Harmange, Nikolai Slavov

X Demographics

X Demographics

The data shown below were collected from the profiles of 95 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 782 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Switzerland 1 <1%
Canada 1 <1%
Unknown 777 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 197 25%
Researcher 146 19%
Student > Bachelor 68 9%
Student > Master 67 9%
Student > Doctoral Student 34 4%
Other 112 14%
Unknown 158 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 245 31%
Agricultural and Biological Sciences 151 19%
Chemistry 56 7%
Engineering 32 4%
Neuroscience 28 4%
Other 96 12%
Unknown 174 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 137. 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 24 February 2024.
All research outputs
#302,096
of 25,385,509 outputs
Outputs from Genome Biology
#121
of 4,468 outputs
Outputs of similar age
#6,386
of 361,509 outputs
Outputs of similar age from Genome Biology
#5
of 87 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 97% 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 361,509 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 98% of its contemporaries.
We're also able to compare this research output to 87 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.