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Challenges and recommendations to improve the installability and archival stability of omics computational tools

Overview of attention for article published in bioRxiv
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#27 of 49,887)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
1094 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
40 Mendeley
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Title
Challenges and recommendations to improve the installability and archival stability of omics computational tools
Published in
bioRxiv
DOI 10.1101/452532
Authors

Mangul, Serghei, Mosqueiro, Thiago, Abdill, Richard J, Duong, Dat, Mitchell, Keith, Sarwal, Varuni, Hill, Brian, Brito, Jaqueline, Littman, Russell, Statz, Benjamin, Lam, Angela, Dayama, Gargi, Grieneisen, Laura, Martin, Lana, Flint, Jonathan, Eskin, Eleazar, Blekhman, Ran

Twitter Demographics

The data shown below were collected from the profiles of 1,094 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 40%
Student > Master 9 23%
Researcher 8 20%
Unspecified 3 8%
Student > Postgraduate 2 5%
Other 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 35%
Biochemistry, Genetics and Molecular Biology 9 23%
Computer Science 6 15%
Unspecified 3 8%
Medicine and Dentistry 3 8%
Other 5 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 545. 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 May 2019.
All research outputs
#12,668
of 12,979,817 outputs
Outputs from bioRxiv
#27
of 49,887 outputs
Outputs of similar age
#699
of 303,995 outputs
Outputs of similar age from bioRxiv
#1
of 5,357 outputs
Altmetric has tracked 12,979,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 49,887 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has done particularly well, scoring higher than 99% 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 303,995 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 99% of its contemporaries.
We're also able to compare this research output to 5,357 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.