The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Distinguishing infectivity in patients with pulmonary tuberculosis using deep learning
|
|---|---|
| Published in |
Frontiers in Public Health, November 2023
|
| DOI | 10.3389/fpubh.2023.1247141 |
| Pubmed ID | |
| Authors |
Yi Gao, Yiwen Zhang, Chengguang Hu, Pengyuan He, Jian Fu, Feng Lin, Kehui Liu, Xianxian Fu, Rui Liu, Jiarun Sun, Feng Chen, Wei Yang, Yuanping Zhou |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 27 November 2023.
All research outputs
#22,293,065
of 24,880,704 outputs
Outputs from Frontiers in Public Health
#9,324
of 13,224 outputs
Outputs of similar age
#126,627
of 160,018 outputs
Outputs of similar age from Frontiers in Public Health
#121
of 363 outputs
Altmetric has tracked 24,880,704 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,224 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 1st percentile – i.e., 1% 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 160,018 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 363 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.