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X Demographics
Mendeley readers
Attention Score in Context
Title |
A robust and accurate single-cell data trajectory inference method using ensemble pseudotime
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Published in |
BMC Bioinformatics, February 2023
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DOI | 10.1186/s12859-023-05179-2 |
Pubmed ID | |
Authors |
Yifan Zhang, Duc Tran, Tin Nguyen, Sergiu M. Dascalu, Frederick C. Harris |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 23% |
Sweden | 2 | 15% |
United States | 1 | 8% |
Korea, Republic of | 1 | 8% |
Unknown | 6 | 46% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 8 | 62% |
Members of the public | 5 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 13% |
Student > Master | 3 | 13% |
Student > Bachelor | 2 | 9% |
Unspecified | 1 | 4% |
Student > Doctoral Student | 1 | 4% |
Other | 1 | 4% |
Unknown | 12 | 52% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 22% |
Engineering | 2 | 9% |
Agricultural and Biological Sciences | 1 | 4% |
Unspecified | 1 | 4% |
Neuroscience | 1 | 4% |
Other | 1 | 4% |
Unknown | 12 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 27 February 2023.
All research outputs
#2,686,633
of 24,334,327 outputs
Outputs from BMC Bioinformatics
#797
of 7,516 outputs
Outputs of similar age
#52,012
of 411,337 outputs
Outputs of similar age from BMC Bioinformatics
#12
of 130 outputs
Altmetric has tracked 24,334,327 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,516 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 89% 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 411,337 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 130 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 91% of its contemporaries.