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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep learning-based growth prediction for sub-solid pulmonary nodules on CT images
|
|---|---|
| Published in |
Frontiers in oncology, October 2022
|
| DOI | 10.3389/fonc.2022.1002953 |
| Pubmed ID | |
| Authors |
Ri-qiang Liao, An-wei Li, Hong-hong Yan, Jun-tao Lin, Si-yang Liu, Jing-wen Wang, Jian-sheng Fang, Hong-bo Liu, Yong-he Hou, Chao Song, Hui-fang Yang, Bin Li, Ben-yuan Jiang, Song Dong, Qiang Nie, Wen-zhao Zhong, Yi-long Wu, Xue-ning Yang |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 33% |
| Student > Bachelor | 1 | 17% |
| Unknown | 3 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 33% |
| Unknown | 4 | 67% |
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 October 2022.
All research outputs
#19,961,193
of 25,392,582 outputs
Outputs from Frontiers in oncology
#9,332
of 22,436 outputs
Outputs of similar age
#304,272
of 438,249 outputs
Outputs of similar age from Frontiers in oncology
#798
of 1,725 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,436 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 49th percentile – i.e., 49% 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 438,249 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,725 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.