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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Addressing uncertainty in genome-scale metabolic model reconstruction and analysis
|
|---|---|
| Published in |
Genome Biology, February 2021
|
| DOI | 10.1186/s13059-021-02289-z |
| Pubmed ID | |
| Authors |
David B. Bernstein, Snorre Sulheim, Eivind Almaas, Daniel Segrè |
X Demographics
The data shown below were collected from the profiles of 62 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 States | 19 | 31% |
| United Kingdom | 5 | 8% |
| Switzerland | 3 | 5% |
| Germany | 3 | 5% |
| Netherlands | 2 | 3% |
| Denmark | 2 | 3% |
| France | 2 | 3% |
| New Zealand | 2 | 3% |
| Japan | 2 | 3% |
| Other | 9 | 15% |
| Unknown | 13 | 21% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 34 | 55% |
| Members of the public | 24 | 39% |
| Practitioners (doctors, other healthcare professionals) | 2 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Unknown | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 189 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 20% |
| Researcher | 31 | 16% |
| Student > Master | 23 | 12% |
| Student > Bachelor | 13 | 7% |
| Other | 10 | 5% |
| Other | 24 | 13% |
| Unknown | 51 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 51 | 27% |
| Agricultural and Biological Sciences | 23 | 12% |
| Chemical Engineering | 13 | 7% |
| Immunology and Microbiology | 12 | 6% |
| Computer Science | 8 | 4% |
| Other | 20 | 11% |
| Unknown | 62 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 29 June 2021.
All research outputs
#1,107,435
of 25,387,668 outputs
Outputs from Genome Biology
#812
of 4,470 outputs
Outputs of similar age
#31,420
of 454,158 outputs
Outputs of similar age from Genome Biology
#26
of 92 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 454,158 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 93% of its contemporaries.
We're also able to compare this research output to 92 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 71% of its contemporaries.