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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Machine Learning Model for Distinguishing Pathological Subtypes of Non-Small Cell Lung Cancer
|
|---|---|
| Published in |
Frontiers in oncology, May 2022
|
| DOI | 10.3389/fonc.2022.875761 |
| Pubmed ID | |
| Authors |
Hongyue Zhao, Yexin Su, Mengjiao Wang, Zhehao Lyu, Peng Xu, Yuying Jiao, Linhan Zhang, Wei Han, Lin Tian, Peng Fu |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 43% |
| Professor > Associate Professor | 1 | 14% |
| Researcher | 1 | 14% |
| Unknown | 2 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 43% |
| Business, Management and Accounting | 1 | 14% |
| Medicine and Dentistry | 1 | 14% |
| Unknown | 2 | 29% |
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 13 June 2022.
All research outputs
#20,673,680
of 25,392,582 outputs
Outputs from Frontiers in oncology
#11,323
of 22,436 outputs
Outputs of similar age
#331,894
of 443,980 outputs
Outputs of similar age from Frontiers in oncology
#737
of 1,609 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% 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 29th percentile – i.e., 29% 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 443,980 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,609 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.