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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Efficiently Predicting Vancomycin Resistance of Enterococcus Faecium From MALDI-TOF MS Spectra Using a Deep Learning-Based Approach
|
|---|---|
| Published in |
Frontiers in Microbiology, June 2022
|
| DOI | 10.3389/fmicb.2022.821233 |
| Pubmed ID | |
| Authors |
Hsin-Yao Wang, Tsung-Ting Hsieh, Chia-Ru Chung, Hung-Ching Chang, Jorng-Tzong Horng, Jang-Jih Lu, Jia-Hsin Huang |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 18% |
| Researcher | 2 | 12% |
| Student > Doctoral Student | 1 | 6% |
| Lecturer | 1 | 6% |
| Unknown | 10 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 18% |
| Computer Science | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Unknown | 11 | 65% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 03 July 2022.
All research outputs
#16,099,039
of 25,443,857 outputs
Outputs from Frontiers in Microbiology
#14,676
of 29,374 outputs
Outputs of similar age
#229,052
of 447,638 outputs
Outputs of similar age from Frontiers in Microbiology
#603
of 1,322 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 29,374 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 447,638 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,322 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.