Title |
Automated generation of genome-scale metabolic draft reconstructions based on KEGG
|
---|---|
Published in |
BMC Bioinformatics, December 2018
|
DOI | 10.1186/s12859-018-2472-z |
Pubmed ID | |
Authors |
Emil Karlsen, Christian Schulz, Eivind Almaas |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
Russia | 1 | 14% |
Unknown | 4 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 5 | 71% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Members of the public | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 148 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 31 | 21% |
Researcher | 25 | 17% |
Student > Master | 17 | 11% |
Student > Bachelor | 13 | 9% |
Student > Doctoral Student | 8 | 5% |
Other | 20 | 14% |
Unknown | 34 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 43 | 29% |
Agricultural and Biological Sciences | 25 | 17% |
Computer Science | 8 | 5% |
Engineering | 7 | 5% |
Immunology and Microbiology | 6 | 4% |
Other | 18 | 12% |
Unknown | 41 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 10 December 2018.
All research outputs
#7,668,611
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#3,077
of 7,387 outputs
Outputs of similar age
#156,221
of 438,699 outputs
Outputs of similar age from BMC Bioinformatics
#87
of 189 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% 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 has gotten more attention than average, scoring higher than 50% 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 438,699 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 189 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.