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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Advances in machine learning-based bacteria analysis for forensic identification: identity, ethnicity, and site of occurrence
|
|---|---|
| Published in |
Frontiers in Microbiology, December 2023
|
| DOI | 10.3389/fmicb.2023.1332857 |
| Pubmed ID | |
| Authors |
Geyao Xu, Xianzhuo Teng, Xing-Hua Gao, Li Zhang, Hongwei Yan, Rui-Qun Qi |
X Demographics
The data shown below were collected from the profiles of 6 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 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 22% |
| Student > Ph. D. Student | 1 | 11% |
| Lecturer | 1 | 11% |
| Unknown | 5 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 22% |
| Medicine and Dentistry | 1 | 11% |
| Unknown | 6 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 07 January 2024.
All research outputs
#14,703,858
of 25,537,395 outputs
Outputs from Frontiers in Microbiology
#10,517
of 29,509 outputs
Outputs of similar age
#128,784
of 347,640 outputs
Outputs of similar age from Frontiers in Microbiology
#133
of 829 outputs
Altmetric has tracked 25,537,395 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 29,509 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 62% 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 347,640 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 62% of its contemporaries.
We're also able to compare this research output to 829 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.