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The solvent component of macromolecular crystals

Overview of attention for article published in Acta Crystallographica: Section D (International Union of Crystallography - IUCr), April 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 3,180)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

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3 news outlets
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1 blog
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12 X users

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134 Mendeley
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Article details
Title
The solvent component of macromolecular crystals
Published in
Acta Crystallographica: Section D (International Union of Crystallography - IUCr), April 2015
DOI 10.1107/s1399004715006045
Pubmed ID
Authors
Abstract

The mother liquor from which a biomolecular crystal is grown will contain water, buffer molecules, native ligands and cofactors, crystallization precipitants and additives, various metal ions, and often small-molecule ligands or inhibitors. On average, about half the volume of a biomolecular crystal consists of this mother liquor, whose components form the disordered bulk solvent. Its scattering contributions can be exploited in initial phasing and must be included in crystal structure refinement as a bulk-solvent model. Concomitantly, distinct electron density originating from ordered solvent components must be correctly identified and represented as part of the atomic crystal structure model. Herein, are reviewed (i) probabilistic bulk-solvent content estimates, (ii) the use of bulk-solvent density modification in phase improvement, (iii) bulk-solvent models and refinement of bulk-solvent contributions and (iv) modelling and validation of ordered solvent constituents. A brief summary is provided of current tools for bulk-solvent analysis and refinement, as well as of modelling, refinement and analysis of ordered solvent components, including small-molecule ligands.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
Denmark 1 <1%
Unknown 131 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 39 29%
Researcher 25 19%
Student > Master 17 13%
Student > Bachelor 9 7%
Student > Doctoral Student 8 6%
Other 16 12%
Unknown 20 15%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 38 28%
Agricultural and Biological Sciences 29 22%
Chemistry 21 16%
Physics and Astronomy 6 4%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 13 10%
Unknown 23 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 02 November 2021.
All research outputs
#1,452,336
of 34,360,257 outputs
Outputs from Acta Crystallographica: Section D (International Union of Crystallography - IUCr)
#29
of 3,180 outputs
Outputs of similar age
#14,428
of 306,371 outputs
Outputs of similar age from Acta Crystallographica: Section D (International Union of Crystallography - IUCr)
#1
of 63 outputs
Altmetric has tracked 34,360,257 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,180 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 99% 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 306,371 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.