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Drug Target Commons 2.0: a community platform for systematic analysis of drug–target interaction profiles

Overview of attention for article published in Database: The Journal of Biological Databases & Curation, September 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

twitter
7 tweeters

Readers on

mendeley
22 Mendeley
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Title
Drug Target Commons 2.0: a community platform for systematic analysis of drug–target interaction profiles
Published in
Database: The Journal of Biological Databases & Curation, September 2018
DOI 10.1093/database/bay083
Pubmed ID
Authors

ZiaurRehman Tanoli, Zaid Alam, Markus Vähä-Koskela, Balaguru Ravikumar, Alina Malyutina, Alok Jaiswal, Jing Tang, Krister Wennerberg, Tero Aittokallio

Abstract

Drug Target Commons (DTC) is a web platform (database with user interface) for community-driven bioactivity data integration and standardization for comprehensive mapping, reuse and analysis of compound-target interaction profiles. End users can search, upload, edit, annotate and export expert-curated bioactivity data for further analysis, using an application programmable interface, database dump or tab-delimited text download options. To guide chemical biology and drug-repurposing applications, DTC version 2.0 includes updated clinical development information for the compounds and target gene-disease associations, as well as cancer-type indications for mutant protein targets, which are critical for precision oncology developments.

Twitter Demographics

The data shown below were collected from the profiles of 7 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 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 %
Researcher 6 27%
Professor 3 14%
Student > Master 3 14%
Student > Ph. D. Student 2 9%
Student > Postgraduate 2 9%
Other 6 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 23%
Unspecified 5 23%
Agricultural and Biological Sciences 3 14%
Chemistry 3 14%
Medicine and Dentistry 2 9%
Other 4 18%

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 02 October 2018.
All research outputs
#3,688,867
of 12,733,544 outputs
Outputs from Database: The Journal of Biological Databases & Curation
#223
of 629 outputs
Outputs of similar age
#100,050
of 264,294 outputs
Outputs of similar age from Database: The Journal of Biological Databases & Curation
#1
of 1 outputs
Altmetric has tracked 12,733,544 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 629 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 64% 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 264,294 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 61% 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