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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome
|
|---|---|
| Published in |
Microbiome, August 2022
|
| DOI | 10.1186/s40168-022-01332-w |
| Pubmed ID | |
| Authors |
Pedro Madrigal, Nitin K. Singh, Jason M. Wood, Elena Gaudioso, Félix Hernández-del-Olmo, Christopher E. Mason, Kasthuri Venkateswaran, Afshin Beheshti |
X Demographics
The data shown below were collected from the profiles of 28 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 | 6 | 21% |
| Latvia | 1 | 4% |
| India | 1 | 4% |
| Sweden | 1 | 4% |
| Ukraine | 1 | 4% |
| Pakistan | 1 | 4% |
| Unknown | 17 | 61% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 54% |
| Scientists | 12 | 43% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 23% |
| Student > Ph. D. Student | 7 | 11% |
| Student > Master | 5 | 8% |
| Student > Doctoral Student | 3 | 5% |
| Other | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 29 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 16% |
| Computer Science | 5 | 8% |
| Agricultural and Biological Sciences | 4 | 6% |
| Medicine and Dentistry | 4 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 35 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 04 June 2023.
All research outputs
#1,134,126
of 24,916,485 outputs
Outputs from Microbiome
#349
of 1,707 outputs
Outputs of similar age
#25,110
of 422,840 outputs
Outputs of similar age from Microbiome
#9
of 62 outputs
Altmetric has tracked 24,916,485 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 1,707 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.5. This one has done well, scoring higher than 79% 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 422,840 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 94% of its contemporaries.
We're also able to compare this research output to 62 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.