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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification and Validation of Efficacy of Immunological Therapy for Lung Cancer From Histopathological Images Based on Deep Learning
|
|---|---|
| Published in |
Frontiers in Genetics, February 2021
|
| DOI | 10.3389/fgene.2021.642981 |
| Pubmed ID | |
| Authors |
Yachao Yang, Jialiang Yang, Yuebin Liang, Bo Liao, Wen Zhu, Xiaofei Mo, Kaimei Huang |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 25% |
| Switzerland | 1 | 25% |
| Italy | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 13% |
| Student > Doctoral Student | 4 | 8% |
| Researcher | 4 | 8% |
| Other | 3 | 6% |
| Student > Ph. D. Student | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 24 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 19% |
| Computer Science | 5 | 10% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Engineering | 2 | 4% |
| Immunology and Microbiology | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 26 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 22 August 2023.
All research outputs
#14,488,430
of 24,309,087 outputs
Outputs from Frontiers in Genetics
#3,529
of 13,065 outputs
Outputs of similar age
#257,537
of 521,429 outputs
Outputs of similar age from Frontiers in Genetics
#130
of 507 outputs
Altmetric has tracked 24,309,087 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,065 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 71% 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 521,429 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 507 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.