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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 (99th percentile)

Mentioned by

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

Citations

dimensions_citation
78 Dimensions

Readers on

mendeley
374 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 158 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 374 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 374 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 116 31%
Researcher 70 19%
Student > Master 44 12%
Student > Bachelor 32 9%
Student > Postgraduate 21 6%
Other 48 13%
Unknown 43 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 99 26%
Agricultural and Biological Sciences 92 25%
Computer Science 37 10%
Immunology and Microbiology 21 6%
Engineering 19 5%
Other 56 15%
Unknown 50 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 110. 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
#255,696
of 19,574,987 outputs
Outputs from bioRxiv
#1,719
of 141,150 outputs
Outputs of similar age
#7,437
of 291,403 outputs
Outputs of similar age from bioRxiv
#40
of 4,265 outputs
Altmetric has tracked 19,574,987 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 141,150 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. 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 291,403 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 4,265 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.