| Title |
Predictive impact of antibiotics in patients with advanced non small-cell lung cancer receiving immune checkpoint inhibitors
|
|---|---|
| Published in |
Cancer Chemotherapy and Pharmacology, November 2019
|
| DOI | 10.1007/s00280-019-03993-1 |
| Pubmed ID | |
| Authors |
Anne Schett, Sacha I. Rothschild, Alessandra Curioni-Fontecedro, Stephan Krähenbühl, Martin Früh, S. Schmid, Christoph Driessen, Markus Joerger |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 43% |
| Japan | 1 | 14% |
| Canada | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 11% |
| Other | 4 | 9% |
| Researcher | 4 | 9% |
| Student > Postgraduate | 4 | 9% |
| Student > Master | 3 | 6% |
| Other | 8 | 17% |
| Unknown | 19 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 47% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Immunology and Microbiology | 1 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Unknown | 21 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 13 February 2020.
All research outputs
#6,828,934
of 24,151,461 outputs
Outputs from Cancer Chemotherapy and Pharmacology
#596
of 2,517 outputs
Outputs of similar age
#141,898
of 464,417 outputs
Outputs of similar age from Cancer Chemotherapy and Pharmacology
#4
of 20 outputs
Altmetric has tracked 24,151,461 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,517 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 76% 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 464,417 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 69% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.