↓ 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

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
26 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

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 27%
Student > Master 6 23%
Researcher 4 15%
Other 1 4%
Student > Bachelor 1 4%
Other 2 8%
Unknown 5 19%
Readers by discipline Count As %
Chemistry 7 27%
Biochemistry, Genetics and Molecular Biology 3 12%
Agricultural and Biological Sciences 3 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 8%
Arts and Humanities 1 4%
Other 2 8%
Unknown 8 31%

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 29 November 2018.
All research outputs
#3,797,723
of 13,945,598 outputs
Outputs from Journal of Cheminformatics
#316
of 562 outputs
Outputs of similar age
#126,958
of 367,759 outputs
Outputs of similar age from Journal of Cheminformatics
#45
of 68 outputs
Altmetric has tracked 13,945,598 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 562 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 367,759 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 65% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.