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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The application research of AI image recognition and processing technology in the early diagnosis of the COVID-19
|
|---|---|
| Published in |
BMC Medical Imaging, February 2022
|
| DOI | 10.1186/s12880-022-00753-1 |
| Pubmed ID | |
| Authors |
Wenyu Chen, Ming Yao, Zhenyu Zhu, Yanbao Sun, Xiuping Han |
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 % |
|---|---|---|
| United States | 2 | 33% |
| China | 1 | 17% |
| Netherlands | 1 | 17% |
| Comoros | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Practitioners (doctors, other healthcare professionals) | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 8% |
| Lecturer | 4 | 8% |
| Student > Master | 4 | 8% |
| Researcher | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 22 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 14% |
| Unspecified | 4 | 8% |
| Engineering | 4 | 8% |
| Nursing and Health Professions | 3 | 6% |
| Medicine and Dentistry | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 24 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 01 March 2022.
All research outputs
#3,497,097
of 24,833,726 outputs
Outputs from BMC Medical Imaging
#21
of 650 outputs
Outputs of similar age
#78,476
of 434,510 outputs
Outputs of similar age from BMC Medical Imaging
#3
of 31 outputs
Altmetric has tracked 24,833,726 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 650 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done particularly well, scoring higher than 96% 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 434,510 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.