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A large-scale proteomic analysis of human embryonic stem cells

Overview of attention for article published in BMC Genomics, January 2007
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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 (82nd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
43 Mendeley
connotea
1 Connotea
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Title
A large-scale proteomic analysis of human embryonic stem cells
Published in
BMC Genomics, January 2007
DOI 10.1186/1471-2164-8-478
Pubmed ID
Authors

Thomas C Schulz, Anna Swistowska, Ying Liu, Andrzej Swistowski, Gail Palmarini, Sandii N Brimble, Eric Sherrer, Allan J Robins, Mahendra S Rao, Xianmin Zeng

Abstract

Much of our current knowledge of the molecular expression profile of human embryonic stem cells (hESCs) is based on transcriptional approaches. These analyses are only partly predictive of protein expression however, and do not shed light on post-translational regulation, leaving a large gap in our knowledge of the biology of pluripotent stem cells.

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 %
United Kingdom 2 5%
France 2 5%
United States 2 5%
Brazil 1 2%
Unknown 36 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 44%
Student > Ph. D. Student 11 26%
Professor > Associate Professor 3 7%
Professor 3 7%
Student > Bachelor 3 7%
Other 2 5%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 58%
Biochemistry, Genetics and Molecular Biology 9 21%
Medicine and Dentistry 4 9%
Business, Management and Accounting 1 2%
Neuroscience 1 2%
Other 2 5%
Unknown 1 2%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 06 February 2008.
All research outputs
#563,332
of 3,632,209 outputs
Outputs from BMC Genomics
#498
of 3,347 outputs
Outputs of similar age
#15,428
of 85,534 outputs
Outputs of similar age from BMC Genomics
#30
of 169 outputs
Altmetric has tracked 3,632,209 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,347 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 85% 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 85,534 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 169 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.