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Drug2Gene: an exhaustive resource to explore effectively the drug-target relation network

Overview of attention for article published in BMC Bioinformatics, March 2014
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
11 X users
googleplus
1 Google+ user

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
75 Mendeley
citeulike
8 CiteULike
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Title
Drug2Gene: an exhaustive resource to explore effectively the drug-target relation network
Published in
BMC Bioinformatics, March 2014
DOI 10.1186/1471-2105-15-68
Pubmed ID
Authors

Helge G Roider, Nadia Pavlova, Ivaylo Kirov, Stoyan Slavov, Todor Slavov, Zlatyo Uzunov, Bertram Weiss

Abstract

Information about drug-target relations is at the heart of drug discovery. There are now dozens of databases providing drug-target interaction data with varying scope, and focus. Therefore, and due to the large chemical space, the overlap of the different data sets is surprisingly small. As searching through these sources manually is cumbersome, time-consuming and error-prone, integrating all the data is highly desirable. Despite a few attempts, integration has been hampered by the diversity of descriptions of compounds, and by the fact that the reported activity values, coming from different data sets, are not always directly comparable due to usage of different metrics or data formats.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Germany 2 3%
Netherlands 1 1%
Bulgaria 1 1%
Belgium 1 1%
United Kingdom 1 1%
Russia 1 1%
Luxembourg 1 1%
Unknown 64 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 27%
Student > Ph. D. Student 16 21%
Student > Master 11 15%
Professor 7 9%
Student > Bachelor 4 5%
Other 11 15%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 32%
Computer Science 13 17%
Chemistry 9 12%
Biochemistry, Genetics and Molecular Biology 8 11%
Medicine and Dentistry 4 5%
Other 9 12%
Unknown 8 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 10 December 2019.
All research outputs
#3,775,334
of 22,747,498 outputs
Outputs from BMC Bioinformatics
#1,454
of 7,268 outputs
Outputs of similar age
#37,755
of 220,818 outputs
Outputs of similar age from BMC Bioinformatics
#21
of 93 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,268 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 79% 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 220,818 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 82% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.