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A comparison of single-cell trajectory inference methods: towards more accurate and robust 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
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
3 blogs
twitter
154 tweeters
wikipedia
2 Wikipedia pages
googleplus
1 Google+ user
video
1 video uploader

Citations

dimensions_citation
81 Dimensions

Readers on

mendeley
383 Mendeley
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Title
A comparison of single-cell trajectory inference methods: towards more accurate and robust tools
Published in
bioRxiv
DOI 10.1101/276907
Authors

Saelens, Wouter, Cannoodt, Robrecht, Todorov, Helena, Saeys, Yvan

Twitter Demographics

The data shown below were collected from the profiles of 154 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 383 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 383 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 118 31%
Researcher 73 19%
Student > Master 44 11%
Student > Bachelor 32 8%
Student > Postgraduate 21 5%
Other 47 12%
Unknown 48 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 100 26%
Agricultural and Biological Sciences 94 25%
Computer Science 37 10%
Immunology and Microbiology 20 5%
Engineering 19 5%
Other 57 15%
Unknown 56 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 108. 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 26 March 2020.
All research outputs
#320,067
of 22,512,567 outputs
Outputs from bioRxiv
#2,136
of 175,345 outputs
Outputs of similar age
#7,958
of 298,369 outputs
Outputs of similar age from bioRxiv
#47
of 4,266 outputs
Altmetric has tracked 22,512,567 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 175,345 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has done particularly well, scoring higher than 98% 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 298,369 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 97% of its contemporaries.
We're also able to compare this research output to 4,266 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 98% of its contemporaries.