| Title |
Helping Roles of Artificial Intelligence (AI) in the Screening and Evaluation of COVID-19 Based on the CT Images
|
|---|---|
| Published in |
Journal of Inflammation Research, March 2021
|
| DOI | 10.2147/jir.s301866 |
| Pubmed ID | |
| Authors |
Hui Xie, Qing Li, Ping-Feng Hu, Sen-Hua Zhu, Jian-Fang Zhang, Hong-Da Zhou, Hai-Bo Zhou |
X Demographics
The data shown below were collected from the profiles of 83 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 | 9 | 11% |
| United Kingdom | 9 | 11% |
| India | 7 | 8% |
| Canada | 2 | 2% |
| Nigeria | 2 | 2% |
| Algeria | 1 | 1% |
| Egypt | 1 | 1% |
| Italy | 1 | 1% |
| Mexico | 1 | 1% |
| Other | 9 | 11% |
| Unknown | 41 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 79 | 95% |
| Scientists | 4 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 11% |
| Lecturer > Senior Lecturer | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Student > Master | 2 | 7% |
| Lecturer | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 14 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 21% |
| Engineering | 2 | 7% |
| Nursing and Health Professions | 1 | 4% |
| Social Sciences | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 15 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 52. 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 June 2021.
All research outputs
#817,252
of 25,597,324 outputs
Outputs from Journal of Inflammation Research
#22
of 978 outputs
Outputs of similar age
#23,414
of 453,051 outputs
Outputs of similar age from Journal of Inflammation Research
#5
of 56 outputs
Altmetric has tracked 25,597,324 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 978 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has done particularly well, scoring higher than 97% 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 453,051 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 56 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 92% of its contemporaries.