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VIGLA-M: visual gene expression data analytics

Overview of attention for article published in BMC Bioinformatics, April 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
24 Mendeley
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Title
VIGLA-M: visual gene expression data analytics
Published in
BMC Bioinformatics, April 2019
DOI 10.1186/s12859-019-2695-7
Authors

Ismael Navas-Delgado, José García-Nieto, Esteban López-Camacho, Maciej Rybinski, Rocio Lavado, Miguel Ángel Berciano Guerrero, José F. Aldana-Montes

Twitter Demographics

The data shown below were collected from the profiles of 8 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 21%
Student > Bachelor 3 13%
Student > Master 3 13%
Student > Ph. D. Student 3 13%
Student > Doctoral Student 2 8%
Other 6 25%
Unknown 2 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 25%
Computer Science 5 21%
Agricultural and Biological Sciences 4 17%
Neuroscience 2 8%
Engineering 2 8%
Other 2 8%
Unknown 3 13%

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 03 July 2020.
All research outputs
#5,337,942
of 18,094,095 outputs
Outputs from BMC Bioinformatics
#2,177
of 6,356 outputs
Outputs of similar age
#100,758
of 280,038 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 59 outputs
Altmetric has tracked 18,094,095 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 6,356 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 280,038 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 63% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.