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Characterizing the human hematopoietic CDome

Overview of attention for article published in Frontiers in Genetics, September 2014
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Title
Characterizing the human hematopoietic CDome
Published in
Frontiers in Genetics, September 2014
DOI 10.3389/fgene.2014.00331
Pubmed ID
Authors

Mike Stein Barnkob, Christian Simon, Lars Rønn Olsen

Abstract

In this study, we performed extensive semi-automated data collection from the primary and secondary literature in an effort to characterize the expression of all membrane proteins within the CD scheme on hematopoietic cells. Utilizing over 6000 data points across 305 CD molecules on 206 cell types, we seek to give a preliminary characterization of the "human hematopoietic CDome." We encountered severe gaps in the knowledge of CD protein expression, mostly resulting from incomplete and unstructured data generation, which we argue inhibit both basic research as well as therapies seeking to target membrane proteins. We detail these shortcomings and propose strategies to overcome these issues. Analyzing the available data, we explore the functional characteristics of the CD molecules both individually and across the groups of hematopoietic cells on which they are expressed. We compare protein and mRNA data for a subset of CD molecules, and explore cell functions in the context of CD protein expression. We find that the presence and function of CD molecules serve as good indicators for the overall function of the cells that express them, suggesting that increasing our knowledge about the cellular CDome may serve to stratify cells on a more functional level.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 2 10%
United States 1 5%
Unknown 18 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 33%
Student > Bachelor 5 24%
Researcher 5 24%
Professor > Associate Professor 1 5%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 2 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 29%
Biochemistry, Genetics and Molecular Biology 3 14%
Physics and Astronomy 2 10%
Engineering 2 10%
Medicine and Dentistry 2 10%
Other 2 10%
Unknown 4 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 September 2014.
All research outputs
#20,237,640
of 22,764,165 outputs
Outputs from Frontiers in Genetics
#8,564
of 11,758 outputs
Outputs of similar age
#210,700
of 252,140 outputs
Outputs of similar age from Frontiers in Genetics
#96
of 111 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,758 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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