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X Demographics
Mendeley readers
Attention Score in Context
Title |
Speeding up the core algorithm for the dual calculation of minimal cut sets in large metabolic networks
|
---|---|
Published in |
BMC Bioinformatics, November 2020
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DOI | 10.1186/s12859-020-03837-3 |
Pubmed ID | |
Authors |
Steffen Klamt, Radhakrishnan Mahadevan, Axel von Kamp |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 33% |
Sweden | 1 | 33% |
United Kingdom | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 36% |
Researcher | 4 | 18% |
Lecturer > Senior Lecturer | 1 | 5% |
Student > Bachelor | 1 | 5% |
Student > Doctoral Student | 1 | 5% |
Other | 2 | 9% |
Unknown | 5 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 4 | 18% |
Computer Science | 4 | 18% |
Agricultural and Biological Sciences | 3 | 14% |
Engineering | 2 | 9% |
Mathematics | 1 | 5% |
Other | 2 | 9% |
Unknown | 6 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 11 November 2020.
All research outputs
#15,708,425
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#5,490
of 7,387 outputs
Outputs of similar age
#258,126
of 419,351 outputs
Outputs of similar age from BMC Bioinformatics
#135
of 165 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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 419,351 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.