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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 (#31 of 59,832)
  • 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
1143 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
49 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 1,143 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 31%
Researcher 14 29%
Student > Master 8 16%
Student > Postgraduate 5 10%
Other 3 6%
Other 6 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 37%
Biochemistry, Genetics and Molecular Biology 16 33%
Computer Science 7 14%
Medicine and Dentistry 3 6%
Chemistry 3 6%
Other 4 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 566. 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 21 August 2019.
All research outputs
#12,785
of 13,533,080 outputs
Outputs from bioRxiv
#31
of 59,832 outputs
Outputs of similar age
#681
of 308,432 outputs
Outputs of similar age from bioRxiv
#1
of 5,355 outputs
Altmetric has tracked 13,533,080 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 59,832 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. 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 308,432 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 5,355 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.