You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated image analysis of NSCLC biopsies to predict response to anti-PD-L1 therapy
|
|---|---|
| Published in |
Journal for Immunotherapy of Cancer, May 2019
|
| DOI | 10.1186/s40425-019-0589-x |
| Pubmed ID | |
| Authors |
Sonja Althammer, Tze Heng Tan, Andreas Spitzmüller, Lorenz Rognoni, Tobias Wiestler, Thomas Herz, Moritz Widmaier, Marlon C. Rebelatto, Helene Kaplon, Diane Damotte, Marco Alifano, Scott A. Hammond, Marie-Caroline Dieu-Nosjean, Koustubh Ranade, Guenter Schmidt, Brandon W. Higgs, Keith E. Steele |
X Demographics
The data shown below were collected from the profiles of 24 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 | 7 | 29% |
| Singapore | 1 | 4% |
| Spain | 1 | 4% |
| Mexico | 1 | 4% |
| Ecuador | 1 | 4% |
| Colombia | 1 | 4% |
| Japan | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 10 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 58% |
| Practitioners (doctors, other healthcare professionals) | 5 | 21% |
| Scientists | 4 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 132 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 14% |
| Student > Ph. D. Student | 16 | 12% |
| Student > Master | 13 | 10% |
| Student > Bachelor | 12 | 9% |
| Student > Doctoral Student | 9 | 7% |
| Other | 17 | 13% |
| Unknown | 46 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 35 | 27% |
| Biochemistry, Genetics and Molecular Biology | 10 | 8% |
| Computer Science | 8 | 6% |
| Engineering | 8 | 6% |
| Agricultural and Biological Sciences | 4 | 3% |
| Other | 20 | 15% |
| Unknown | 47 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 07 August 2019.
All research outputs
#2,585,824
of 26,017,215 outputs
Outputs from Journal for Immunotherapy of Cancer
#704
of 3,487 outputs
Outputs of similar age
#53,823
of 366,398 outputs
Outputs of similar age from Journal for Immunotherapy of Cancer
#22
of 72 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,487 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done well, scoring higher than 79% 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 366,398 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 72 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 69% of its contemporaries.