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Extracting and connecting chemical structures from text sources using chemicalize.org

Overview of attention for article published in Journal of Cheminformatics, April 2013
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

blogs
3 blogs
twitter
5 X users
googleplus
1 Google+ user

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
60 Mendeley
citeulike
3 CiteULike
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Title
Extracting and connecting chemical structures from text sources using chemicalize.org
Published in
Journal of Cheminformatics, April 2013
DOI 10.1186/1758-2946-5-20
Pubmed ID
Authors

Christopher Southan, Andras Stracz

Abstract

Exploring bioactive chemistry requires navigating between structures and data from a variety of text-based sources. While PubChem currently includes approximately 16 million document-extracted structures (15 million from patents) the extent of public inter-document and document-to-database links is still well below any estimated total, especially for journal articles. A major expansion in access to text-entombed chemistry is enabled by chemicalize.org. This on-line resource can process IUPAC names, SMILES, InChI strings, CAS numbers and drug names from pasted text, PDFs or URLs to generate structures, calculate properties and launch searches. Here, we explore its utility for answering questions related to chemical structures in documents and where these overlap with database records. These aspects are illustrated using a common theme of Dipeptidyl Peptidase 4 (DPPIV) inhibitors.

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

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Germany 1 2%
Brazil 1 2%
Netherlands 1 2%
India 1 2%
United States 1 2%
Unknown 53 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Researcher 15 25%
Student > Bachelor 8 13%
Student > Doctoral Student 4 7%
Professor > Associate Professor 4 7%
Other 9 15%
Unknown 5 8%
Readers by discipline Count As %
Chemistry 16 27%
Agricultural and Biological Sciences 9 15%
Medicine and Dentistry 6 10%
Computer Science 5 8%
Engineering 4 7%
Other 12 20%
Unknown 8 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 14 December 2018.
All research outputs
#1,676,682
of 24,620,470 outputs
Outputs from Journal of Cheminformatics
#122
of 916 outputs
Outputs of similar age
#13,346
of 198,950 outputs
Outputs of similar age from Journal of Cheminformatics
#6
of 16 outputs
Altmetric has tracked 24,620,470 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 916 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done well, scoring higher than 86% 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 198,950 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 93% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.