↓ Skip to main content

Initial characterization of the human central proteome

Overview of attention for article published in BMC Systems Biology, January 2011
Altmetric Badge

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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
64 Dimensions

Readers on

mendeley
233 Mendeley
citeulike
10 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Initial characterization of the human central proteome
Published in
BMC Systems Biology, January 2011
DOI 10.1186/1752-0509-5-17
Pubmed ID
Authors

Thomas R Burkard, Melanie Planyavsky, Ines Kaupe, Florian P Breitwieser, Tilmann Bürckstümmer, Keiryn L Bennett, Giulio Superti-Furga, Jacques Colinge

Abstract

On the basis of large proteomics datasets measured from seven human cell lines we consider their intersection as an approximation of the human central proteome, which is the set of proteins ubiquitously expressed in all human cells. Composition and properties of the central proteome are investigated through bioinformatics analyses.

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

Geographical breakdown

Country Count As %
United States 4 2%
Portugal 2 <1%
Germany 2 <1%
Singapore 2 <1%
Sudan 1 <1%
France 1 <1%
Australia 1 <1%
Chile 1 <1%
Lithuania 1 <1%
Other 7 3%
Unknown 211 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 65 28%
Researcher 58 25%
Student > Master 28 12%
Student > Bachelor 19 8%
Other 12 5%
Other 32 14%
Unknown 19 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 117 50%
Biochemistry, Genetics and Molecular Biology 40 17%
Chemistry 15 6%
Medicine and Dentistry 14 6%
Computer Science 9 4%
Other 22 9%
Unknown 16 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 14 March 2019.
All research outputs
#2,217,019
of 22,705,019 outputs
Outputs from BMC Systems Biology
#51
of 1,142 outputs
Outputs of similar age
#13,379
of 182,667 outputs
Outputs of similar age from BMC Systems Biology
#3
of 39 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 95% 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 182,667 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 92% of its contemporaries.
We're also able to compare this research output to 39 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 92% of its contemporaries.