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 |
The good, the bad, and the ugly: hyperprogression in cancer patients following immune checkpoint therapy
|
---|---|
Published in |
Genome Medicine, July 2019
|
DOI | 10.1186/s13073-019-0661-7 |
Pubmed ID | |
Authors |
Erich Sabio, Timothy A. Chan |
X Demographics
The data shown below were collected from the profiles of 19 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 | 8 | 42% |
United Kingdom | 2 | 11% |
Portugal | 1 | 5% |
Australia | 1 | 5% |
Croatia | 1 | 5% |
South Africa | 1 | 5% |
Hungary | 1 | 5% |
Unknown | 4 | 21% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 9 | 47% |
Members of the public | 7 | 37% |
Practitioners (doctors, other healthcare professionals) | 2 | 11% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 40 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 15% |
Student > Ph. D. Student | 5 | 13% |
Student > Master | 5 | 13% |
Other | 3 | 8% |
Professor > Associate Professor | 2 | 5% |
Other | 5 | 13% |
Unknown | 14 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 28% |
Biochemistry, Genetics and Molecular Biology | 6 | 15% |
Agricultural and Biological Sciences | 3 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Immunology and Microbiology | 1 | 3% |
Other | 1 | 3% |
Unknown | 17 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 06 March 2020.
All research outputs
#3,040,690
of 23,511,526 outputs
Outputs from Genome Medicine
#684
of 1,464 outputs
Outputs of similar age
#63,643
of 347,197 outputs
Outputs of similar age from Genome Medicine
#13
of 20 outputs
Altmetric has tracked 23,511,526 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,464 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one has gotten more attention than average, scoring higher than 53% 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 347,197 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 81% 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 is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.