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Mendeley readers
Attention Score in Context
Title |
A large-scale proteomic analysis of human embryonic stem cells
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Published in |
BMC Genomics, December 2007
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DOI | 10.1186/1471-2164-8-478 |
Pubmed ID | |
Authors |
Thomas C Schulz, Anna Maria 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 4% |
United States | 2 | 4% |
France | 2 | 4% |
Brazil | 1 | 2% |
Unknown | 43 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 19 | 38% |
Student > Ph. D. Student | 11 | 22% |
Student > Bachelor | 3 | 6% |
Professor | 3 | 6% |
Professor > Associate Professor | 3 | 6% |
Other | 4 | 8% |
Unknown | 7 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 25 | 50% |
Biochemistry, Genetics and Molecular Biology | 9 | 18% |
Medicine and Dentistry | 4 | 8% |
Environmental Science | 1 | 2% |
Business, Management and Accounting | 1 | 2% |
Other | 4 | 8% |
Unknown | 6 | 12% |
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
#5,650,815
of 22,705,019 outputs
Outputs from BMC Genomics
#2,345
of 10,624 outputs
Outputs of similar age
#31,519
of 155,986 outputs
Outputs of similar age from BMC Genomics
#21
of 86 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,624 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 77% 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 155,986 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 79% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.