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Magnesium interactions with a CX26 connexon in lipid bilayers

Overview of attention for article published in Journal of Molecular Modeling, July 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
6 Mendeley
Title
Magnesium interactions with a CX26 connexon in lipid bilayers
Published in
Journal of Molecular Modeling, July 2019
DOI 10.1007/s00894-019-4121-5
Pubmed ID
Authors

Juan M. R. Albano, Julio C. Facelli, Marta B. Ferraro, Monica Pickholz

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Student > Ph. D. Student 1 17%
Other 1 17%
Student > Doctoral Student 1 17%
Unknown 1 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 33%
Neuroscience 1 17%
Unknown 3 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 September 2019.
All research outputs
#7,536,841
of 23,152,542 outputs
Outputs from Journal of Molecular Modeling
#181
of 827 outputs
Outputs of similar age
#133,563
of 345,836 outputs
Outputs of similar age from Journal of Molecular Modeling
#3
of 20 outputs
Altmetric has tracked 23,152,542 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 827 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 78% 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 345,836 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 61% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.