↓ Skip to main content

Statistical-based database fingerprint: chemical space dependent representation of compound databases

Overview of attention for article published in Journal of Cheminformatics, November 2018
Altmetric Badge

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 (85th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

blogs
1 blog
twitter
5 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
31 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Statistical-based database fingerprint: chemical space dependent representation of compound databases
Published in
Journal of Cheminformatics, November 2018
DOI 10.1186/s13321-018-0311-x
Pubmed ID
Authors

Norberto Sánchez-Cruz, José L. Medina-Franco

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

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Student > Master 6 19%
Student > Bachelor 3 10%
Researcher 3 10%
Other 1 3%
Other 3 10%
Unknown 8 26%
Readers by discipline Count As %
Chemistry 7 23%
Pharmacology, Toxicology and Pharmaceutical Science 3 10%
Biochemistry, Genetics and Molecular Biology 3 10%
Agricultural and Biological Sciences 3 10%
Environmental Science 1 3%
Other 3 10%
Unknown 11 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 03 August 2022.
All research outputs
#2,982,247
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#294
of 891 outputs
Outputs of similar age
#66,238
of 445,457 outputs
Outputs of similar age from Journal of Cheminformatics
#11
of 22 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 67% 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 445,457 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 22 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 54% of its contemporaries.