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EvoMiner: frequent subtree mining in phylogenetic databases

Overview of attention for article published in Knowledge and Information Systems, July 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
12 Mendeley
Title
EvoMiner: frequent subtree mining in phylogenetic databases
Published in
Knowledge and Information Systems, July 2013
DOI 10.1007/s10115-013-0676-0
Authors

Akshay Deepak, David Fernández-Baca, Srikanta Tirthapura, Michael J. Sanderson, Michelle M. McMahon

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 %
New Caledonia 1 8%
Belgium 1 8%
Brazil 1 8%
Unknown 9 75%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 33%
Student > Master 2 17%
Student > Ph. D. Student 1 8%
Student > Doctoral Student 1 8%
Professor 1 8%
Other 1 8%
Unknown 2 17%
Readers by discipline Count As %
Computer Science 6 50%
Agricultural and Biological Sciences 3 25%
Unknown 3 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 July 2014.
All research outputs
#7,866,480
of 23,849,058 outputs
Outputs from Knowledge and Information Systems
#76
of 614 outputs
Outputs of similar age
#67,349
of 200,892 outputs
Outputs of similar age from Knowledge and Information Systems
#4
of 7 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 614 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 65% 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 200,892 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.