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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Metagenomic prediction of antimicrobial resistance in critically ill patients with lower respiratory tract infections
|
|---|---|
| Published in |
Genome Medicine, July 2022
|
| DOI | 10.1186/s13073-022-01072-4 |
| Pubmed ID | |
| Authors |
Paula Hayakawa Serpa, Xianding Deng, Mazin Abdelghany, Emily Crawford, Katherine Malcolm, Saharai Caldera, Monica Fung, Aaron McGeever, Katrina L. Kalantar, Amy Lyden, Rajani Ghale, Thomas Deiss, Norma Neff, Steven A. Miller, Sarah B. Doernberg, Charles Y. Chiu, Joseph L. DeRisi, Carolyn S. Calfee, Charles R. Langelier |
X Demographics
The data shown below were collected from the profiles of 17 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 | 12% |
| India | 2 | 12% |
| United States | 1 | 6% |
| Ecuador | 1 | 6% |
| Unknown | 11 | 65% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 47% |
| Scientists | 7 | 41% |
| Practitioners (doctors, other healthcare professionals) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 13% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Master | 3 | 6% |
| Other | 2 | 4% |
| Student > Bachelor | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 26 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 17% |
| Agricultural and Biological Sciences | 4 | 8% |
| Immunology and Microbiology | 4 | 8% |
| Medicine and Dentistry | 3 | 6% |
| Nursing and Health Professions | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 28 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 22 August 2022.
All research outputs
#1,522,482
of 24,024,220 outputs
Outputs from Genome Medicine
#334
of 1,483 outputs
Outputs of similar age
#33,937
of 422,548 outputs
Outputs of similar age from Genome Medicine
#17
of 40 outputs
Altmetric has tracked 24,024,220 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,483 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has done well, scoring higher than 77% 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 422,548 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 91% of its contemporaries.
We're also able to compare this research output to 40 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 60% of its contemporaries.