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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ChiMera: an easy to use pipeline for bacterial genome based metabolic network reconstruction, evaluation and visualization
|
|---|---|
| Published in |
BMC Bioinformatics, November 2022
|
| DOI | 10.1186/s12859-022-05056-4 |
| Pubmed ID | |
| Authors |
Gustavo Tamasco, Manish Kumar, Karsten Zengler, Rafael Silva-Rocha, Ricardo Roberto da Silva |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 22% |
| India | 1 | 11% |
| United Kingdom | 1 | 11% |
| Sweden | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 78% |
| Members of the public | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 20% |
| Student > Ph. D. Student | 3 | 20% |
| Researcher | 2 | 13% |
| Student > Bachelor | 1 | 7% |
| Unspecified | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 3 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 20% |
| Chemical Engineering | 2 | 13% |
| Agricultural and Biological Sciences | 2 | 13% |
| Chemistry | 2 | 13% |
| Physics and Astronomy | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 4 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 06 December 2022.
All research outputs
#6,800,484
of 23,942,830 outputs
Outputs from BMC Bioinformatics
#2,541
of 7,466 outputs
Outputs of similar age
#129,330
of 463,755 outputs
Outputs of similar age from BMC Bioinformatics
#35
of 154 outputs
Altmetric has tracked 23,942,830 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,466 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 64% 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 463,755 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 71% of its contemporaries.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.