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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Combining metabolome and clinical indicators with machine learning provides some promising diagnostic markers to precisely detect smear-positive/negative pulmonary tuberculosis
|
|---|---|
| Published in |
BMC Infectious Diseases, August 2022
|
| DOI | 10.1186/s12879-022-07694-8 |
| Pubmed ID | |
| Authors |
Xin Hu, Jie Wang, Yingjiao Ju, Xiuli Zhang, Wushou’er Qimanguli, Cuidan Li, Liya Yue, Bahetibieke Tuohetaerbaike, Ying Li, Hao Wen, Wenbao Zhang, Changbin Chen, Yefeng Yang, Jing Wang, Fei Chen |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 15% |
| Lecturer | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Student > Doctoral Student | 2 | 8% |
| Unspecified | 1 | 4% |
| Other | 6 | 23% |
| Unknown | 9 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 19% |
| Medicine and Dentistry | 4 | 15% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Environmental Science | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 10 | 38% |
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 26 August 2022.
All research outputs
#15,591,755
of 23,179,757 outputs
Outputs from BMC Infectious Diseases
#4,551
of 7,772 outputs
Outputs of similar age
#236,006
of 432,975 outputs
Outputs of similar age from BMC Infectious Diseases
#81
of 129 outputs
Altmetric has tracked 23,179,757 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,772 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 33rd percentile – i.e., 33% 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 432,975 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.