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GRAPES-DD: exploiting decision diagrams for index-driven search in biological graph databases

Overview of attention for article published in BMC Bioinformatics, April 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 X users

Citations

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4 Dimensions

Readers on

mendeley
12 Mendeley
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Title
GRAPES-DD: exploiting decision diagrams for index-driven search in biological graph databases
Published in
BMC Bioinformatics, April 2021
DOI 10.1186/s12859-021-04129-0
Pubmed ID
Authors

Nicola Licheri, Vincenzo Bonnici, Marco Beccuti, Rosalba Giugno

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Professor 2 17%
Student > Ph. D. Student 2 17%
Student > Bachelor 1 8%
Lecturer 1 8%
Other 0 0%
Unknown 3 25%
Readers by discipline Count As %
Engineering 2 17%
Computer Science 1 8%
Agricultural and Biological Sciences 1 8%
Chemistry 1 8%
Earth and Planetary Sciences 1 8%
Other 0 0%
Unknown 6 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 April 2021.
All research outputs
#13,748,377
of 23,308,124 outputs
Outputs from BMC Bioinformatics
#4,293
of 7,380 outputs
Outputs of similar age
#204,848
of 434,646 outputs
Outputs of similar age from BMC Bioinformatics
#137
of 193 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,380 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 38th percentile – i.e., 38% 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 434,646 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 50% of its contemporaries.
We're also able to compare this research output to 193 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.