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X Demographics
Mendeley readers
Attention Score in Context
Title |
High-quality genome-scale metabolic network reconstruction of probiotic bacterium Escherichia coli Nissle 1917
|
---|---|
Published in |
BMC Bioinformatics, December 2022
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DOI | 10.1186/s12859-022-05108-9 |
Pubmed ID | |
Authors |
Max van ‘t Hof, Omkar S. Mohite, Jonathan M. Monk, Tilmann Weber, Bernhard O. Palsson, Morten O. A. Sommer |
X Demographics
The data shown below were collected from the profiles of 16 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 | 6% |
Korea, Republic of | 1 | 6% |
China | 1 | 6% |
Netherlands | 1 | 6% |
United States | 1 | 6% |
Sweden | 1 | 6% |
United Kingdom | 1 | 6% |
Denmark | 1 | 6% |
Unknown | 8 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 56% |
Scientists | 7 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 3 | 14% |
Researcher | 3 | 14% |
Student > Ph. D. Student | 2 | 10% |
Student > Master | 2 | 10% |
Unknown | 11 | 52% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 6 | 29% |
Computer Science | 1 | 5% |
Chemistry | 1 | 5% |
Engineering | 1 | 5% |
Unknown | 12 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 30 October 2023.
All research outputs
#4,303,612
of 25,805,386 outputs
Outputs from BMC Bioinformatics
#1,436
of 7,751 outputs
Outputs of similar age
#83,322
of 481,281 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 131 outputs
Altmetric has tracked 25,805,386 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,751 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 81% 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 481,281 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 82% of its contemporaries.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.