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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Acidosis-mediated increase in IFN-γ-induced PD-L1 expression on cancer cells as an immune escape mechanism in solid tumors
|
|---|---|
| Published in |
Molecular Cancer, December 2023
|
| DOI | 10.1186/s12943-023-01900-0 |
| Pubmed ID | |
| Authors |
Philipp Knopf, Dimitri Stowbur, Sabrina H. L. Hoffmann, Natalie Hermann, Andreas Maurer, Valentina Bucher, Marilena Poxleitner, Bredi Tako, Dominik Sonanini, Balaji Krishnamachary, Sanhita Sinharay, Birgit Fehrenbacher, Irene Gonzalez-Menendez, Felix Reckmann, David Bomze, Lukas Flatz, Daniela Kramer, Martin Schaller, Stephan Forchhammer, Zaver M. Bhujwalla, Leticia Quintanilla-Martinez, Klaus Schulze-Osthoff, Mark D. Pagel, Marieke F. Fransen, Martin Röcken, André F. Martins, Bernd J. Pichler, Kamran Ghoreschi, Manfred Kneilling |
X Demographics
The data shown below were collected from the profiles of 9 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 | 5 | 56% |
| Canada | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 44% |
| Scientists | 3 | 33% |
| Practitioners (doctors, other healthcare professionals) | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 33% |
| Student > Master | 1 | 33% |
| Professor | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 1 | 33% |
| Biochemistry, Genetics and Molecular Biology | 1 | 33% |
| Immunology and Microbiology | 1 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 15 January 2024.
All research outputs
#2,249,517
of 25,342,911 outputs
Outputs from Molecular Cancer
#126
of 1,910 outputs
Outputs of similar age
#32,009
of 335,088 outputs
Outputs of similar age from Molecular Cancer
#7
of 34 outputs
Altmetric has tracked 25,342,911 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,910 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 93% 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 335,088 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.