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Using crystallography, topology and graph set analysis for the description of the hydrogen bond network of triamterene: a rational approach to solid form selection

Overview of attention for article published in Chemistry Central Journal, July 2017
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  • Good Attention Score compared to outputs of the same age (71st percentile)

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Title
Using crystallography, topology and graph set analysis for the description of the hydrogen bond network of triamterene: a rational approach to solid form selection
Published in
Chemistry Central Journal, July 2017
DOI 10.1186/s13065-017-0293-1
Pubmed ID
Authors

David S. Hughes, Amit Delori, Abida Rehman, William Jones

Abstract

This study has demonstrated the use of crystallography, topology and graph set analysis in the description and classification of the complex hydrogen bonded network of triamterene. The aim is to give a brief overview of the methodology used to discuss the crystal structure of triamterene with a view to extending the study to include the solvates, cocrystals and salts of this compound. Graphical abstract One of the structurally significant dimers (supramolecular synthons) of triamterene identified by this study.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 23%
Student > Bachelor 3 14%
Other 2 9%
Researcher 2 9%
Professor 1 5%
Other 3 14%
Unknown 6 27%
Readers by discipline Count As %
Chemistry 10 45%
Environmental Science 3 14%
Materials Science 1 5%
Unknown 8 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 November 2017.
All research outputs
#6,638,477
of 25,988,468 outputs
Outputs from Chemistry Central Journal
#105
of 410 outputs
Outputs of similar age
#94,443
of 329,492 outputs
Outputs of similar age from Chemistry Central Journal
#1
of 1 outputs
Altmetric has tracked 25,988,468 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 410 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 81% 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 329,492 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 71% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them