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Binding of transition metals to S100 proteins

Overview of attention for article published in Science China Life Sciences, July 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
21 Mendeley
Title
Binding of transition metals to S100 proteins
Published in
Science China Life Sciences, July 2016
DOI 10.1007/s11427-016-5088-4
Pubmed ID
Authors

Benjamin A. Gilston, Eric P. Skaar, Walter J. Chazin

Abstract

The S100 proteins are a unique class of EF-hand Ca(2+) binding proteins distributed in a cell-specific, tissue-specific, and cell cycle-specific manner in humans and other vertebrates. These proteins are distinguished by their distinctive homodimeric structure, both intracellular and extracellular functions, and the ability to bind transition metals at the dimer interface. Here we summarize current knowledge of S100 protein binding of Zn(2+), Cu(2+) and Mn(2+) ions, focusing on binding affinities, conformational changes that arise from metal binding, and the roles of transition metal binding in S100 protein function.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 5 24%
Student > Master 4 19%
Student > Ph. D. Student 3 14%
Professor > Associate Professor 3 14%
Student > Doctoral Student 3 14%
Other 3 14%
Readers by discipline Count As %
Unspecified 6 29%
Biochemistry, Genetics and Molecular Biology 5 24%
Agricultural and Biological Sciences 4 19%
Chemistry 4 19%
Medicine and Dentistry 1 5%
Other 1 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 July 2016.
All research outputs
#6,951,436
of 12,521,683 outputs
Outputs from Science China Life Sciences
#147
of 521 outputs
Outputs of similar age
#113,507
of 262,933 outputs
Outputs of similar age from Science China Life Sciences
#6
of 27 outputs
Altmetric has tracked 12,521,683 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 521 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 71% 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 262,933 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.