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Sequenceserver: a modern graphical user interface for custom BLAST databases

Overview of attention for article published in Molecular Biology and Evolution, August 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
64 X users

Citations

dimensions_citation
191 Dimensions

Readers on

mendeley
214 Mendeley
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Title
Sequenceserver: a modern graphical user interface for custom BLAST databases
Published in
Molecular Biology and Evolution, August 2019
DOI 10.1093/molbev/msz185
Pubmed ID
Authors

Anurag Priyam, Ben J Woodcroft, Vivek Rai, Ismail Moghul, Alekhya Munagala, Filip Ter, Hiten Chowdhary, Iwo Pieniak, Lawrence J Maynard, Mark Anthony Gibbins, HongKee Moon, Austin Davis-Richardson, Mahmut Uludag, Nathan S Watson-Haigh, Richard Challis, Hiroyuki Nakamura, Emeline Favreau, Esteban A Gómez, Tomás Pluskal, Guy Leonard, Wolfgang Rumpf, Yannick Wurm

X Demographics

X Demographics

The data shown below were collected from the profiles of 64 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 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
United States 1 <1%
Czechia 1 <1%
Norway 1 <1%
Unknown 210 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 18%
Student > Ph. D. Student 35 16%
Student > Master 29 14%
Student > Bachelor 23 11%
Student > Doctoral Student 8 4%
Other 22 10%
Unknown 58 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 31%
Biochemistry, Genetics and Molecular Biology 50 23%
Environmental Science 8 4%
Computer Science 5 2%
Social Sciences 4 2%
Other 18 8%
Unknown 62 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 August 2021.
All research outputs
#1,068,055
of 25,399,318 outputs
Outputs from Molecular Biology and Evolution
#443
of 5,218 outputs
Outputs of similar age
#22,536
of 353,615 outputs
Outputs of similar age from Molecular Biology and Evolution
#13
of 70 outputs
Altmetric has tracked 25,399,318 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,218 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.6. This one has done particularly well, scoring higher than 91% 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 353,615 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.