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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep learning to estimate durable clinical benefit and prognosis from patients with non-small cell lung cancer treated with PD-1/PD-L1 blockade
|
|---|---|
| Published in |
Frontiers in immunology, November 2022
|
| DOI | 10.3389/fimmu.2022.960459 |
| Pubmed ID | |
| Authors |
Jie Peng, Jing Zhang, Dan Zou, Lushan Xiao, Honglian Ma, Xudong Zhang, Ya Li, Lijie Han, Baowen Xie |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 38% |
| Netherlands | 2 | 25% |
| Hungary | 1 | 13% |
| Switzerland | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 1 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 13% |
| Researcher | 2 | 13% |
| Student > Doctoral Student | 2 | 13% |
| Student > Master | 1 | 7% |
| Unknown | 8 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 20% |
| Computer Science | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Unknown | 10 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 28 November 2022.
All research outputs
#8,861,403
of 26,179,695 outputs
Outputs from Frontiers in immunology
#11,273
of 33,036 outputs
Outputs of similar age
#157,597
of 446,285 outputs
Outputs of similar age from Frontiers in immunology
#516
of 1,927 outputs
Altmetric has tracked 26,179,695 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,036 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has gotten more attention than average, scoring higher than 64% 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 446,285 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 1,927 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.