The data shown below were collected from the profiles of 25 X users 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 |
Artificial Intelligence-Aided Diagnosis Software to Identify Highly Suspicious Pulmonary Nodules
|
|---|---|
| Published in |
Frontiers in oncology, February 2022
|
| DOI | 10.3389/fonc.2021.749219 |
| Pubmed ID | |
| Authors |
Jun Lv, Jianhui Li, Yanzhen Liu, Hong Zhang, Xiangfeng Luo, Min Ren, Yufan Gao, Yanhe Ma, Shuo Liang, Yapeng Yang, Zhenchun Song, Guangming Gao, Guozheng Gao, Yusheng Jiang, Ximing Li |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 4% |
| Colombia | 1 | 4% |
| India | 1 | 4% |
| Egypt | 1 | 4% |
| Unknown | 21 | 84% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 84% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
| Scientists | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 2 | 15% |
| Researcher | 2 | 15% |
| Student > Doctoral Student | 1 | 8% |
| Librarian | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 5 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 23% |
| Medicine and Dentistry | 3 | 23% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
| Physics and Astronomy | 1 | 8% |
| Unknown | 5 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 23 September 2022.
All research outputs
#3,238,701
of 26,166,431 outputs
Outputs from Frontiers in oncology
#866
of 22,913 outputs
Outputs of similar age
#83,695
of 563,696 outputs
Outputs of similar age from Frontiers in oncology
#56
of 1,568 outputs
Altmetric has tracked 26,166,431 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,913 research outputs from this source. They receive a mean Attention Score of 3.1. 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 563,696 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 85% of its contemporaries.
We're also able to compare this research output to 1,568 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 96% of its contemporaries.