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Chemoattraction of macrophages by secretory molecules derived from cells expressing the signal peptide of eosinophil cationic protein

Overview of attention for article published in BMC Systems Biology, August 2012
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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1 X user
patent
2 patents

Citations

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13 Dimensions

Readers on

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25 Mendeley
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Title
Chemoattraction of macrophages by secretory molecules derived from cells expressing the signal peptide of eosinophil cationic protein
Published in
BMC Systems Biology, August 2012
DOI 10.1186/1752-0509-6-105
Pubmed ID
Authors

Yu-Shu Liu, Pei-Wen Tsai, Yong Wang, Tan-chi Fan, Chia-Hung Hsieh, Margaret Dah-Tsyr Chang, Tun-Wen Pai, Chien-Fu Huang, Chung-Yu Lan, Hao-Teng Chang

Abstract

Eosinophil cationic protein is a clinical asthma biomarker that would be released into blood, especially gathered in bronchia. The signal peptide of eosinophil cationic protein (ECPsp) plays an important role in translocating ECP to the extracellular space. We previously reported that ECPsp inhibits microbial growth and regulates the expression of mammalian genes encoding tumor growth factor-α (TGF-α) and epidermal growth factor receptor (EGFR).

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

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 20%
Researcher 3 12%
Professor 2 8%
Other 2 8%
Professor > Associate Professor 2 8%
Other 5 20%
Unknown 6 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 28%
Biochemistry, Genetics and Molecular Biology 3 12%
Medicine and Dentistry 3 12%
Computer Science 2 8%
Mathematics 1 4%
Other 2 8%
Unknown 7 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 11 April 2019.
All research outputs
#4,486,111
of 22,675,759 outputs
Outputs from BMC Systems Biology
#136
of 1,142 outputs
Outputs of similar age
#31,942
of 169,121 outputs
Outputs of similar age from BMC Systems Biology
#3
of 28 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% 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 well, scoring higher than 87% 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 169,121 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 80% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.