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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated whole-slide images assessment of immune infiltration in resected non-small-cell lung cancer: towards better risk-stratification
|
|---|---|
| Published in |
Journal of Translational Medicine, June 2022
|
| DOI | 10.1186/s12967-022-03458-9 |
| Pubmed ID | |
| Authors |
Huan Lin, Xipeng Pan, Zhengyun Feng, Lixu Yan, Junjie Hua, Yanting Liang, Chu Han, Zeyan Xu, Yumeng Wang, Lin Wu, Yanfen Cui, Xiaomei Huang, Zhenwei Shi, Xin Chen, Xiaobo Chen, Qingling Zhang, Changhong Liang, Ke Zhao, Zhenhui Li, Zaiyi Liu |
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 % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
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 % |
|---|---|---|
| Unspecified | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Professor | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Researcher | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 7 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 23% |
| Unspecified | 1 | 8% |
| Computer Science | 1 | 8% |
| Design | 1 | 8% |
| Unknown | 7 | 54% |
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 08 June 2022.
All research outputs
#18,682,729
of 23,972,543 outputs
Outputs from Journal of Translational Medicine
#2,910
of 4,242 outputs
Outputs of similar age
#301,286
of 448,384 outputs
Outputs of similar age from Journal of Translational Medicine
#66
of 112 outputs
Altmetric has tracked 23,972,543 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,242 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 26th percentile – i.e., 26% 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 448,384 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.