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Mendeley readers
Attention Score in Context
Title |
The Application of Artificial Intelligence in the Diagnosis and Drug Resistance Prediction of Pulmonary Tuberculosis
|
---|---|
Published in |
Frontiers in Medicine, July 2022
|
DOI | 10.3389/fmed.2022.935080 |
Pubmed ID | |
Authors |
Shufan Liang, Jiechao Ma, Gang Wang, Jun Shao, Jingwei Li, Hui Deng, Chengdi Wang, Weimin Li |
X Demographics
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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 70 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 9% |
Student > Master | 5 | 7% |
Student > Bachelor | 5 | 7% |
Student > Ph. D. Student | 4 | 6% |
Student > Doctoral Student | 3 | 4% |
Other | 13 | 19% |
Unknown | 34 | 49% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 8 | 11% |
Unspecified | 4 | 6% |
Nursing and Health Professions | 4 | 6% |
Computer Science | 4 | 6% |
Biochemistry, Genetics and Molecular Biology | 3 | 4% |
Other | 8 | 11% |
Unknown | 39 | 56% |
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 31 July 2022.
All research outputs
#18,571,001
of 23,001,641 outputs
Outputs from Frontiers in Medicine
#3,993
of 5,767 outputs
Outputs of similar age
#299,138
of 431,834 outputs
Outputs of similar age from Frontiers in Medicine
#374
of 562 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,767 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one is in the 13th percentile – i.e., 13% 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 431,834 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 562 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.