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X Demographics
Mendeley readers
Attention Score in Context
Title |
Next generation sequencing of PD-L1 for predicting response to immune checkpoint inhibitors
|
---|---|
Published in |
Journal for Immunotherapy of Cancer, January 2019
|
DOI | 10.1186/s40425-018-0489-5 |
Pubmed ID | |
Authors |
Jeffrey M. Conroy, Sarabjot Pabla, Mary K. Nesline, Sean T. Glenn, Antonios Papanicolau-Sengos, Blake Burgher, Jonathan Andreas, Vincent Giamo, Yirong Wang, Felicia L. Lenzo, Wiam Bshara, Maya Khalil, Grace K. Dy, Katherine G. Madden, Keisuke Shirai, Konstantin Dragnev, Laura J. Tafe, Jason Zhu, Matthew Labriola, Daniele Marin, Shannon J. McCall, Jeffrey Clarke, Daniel J. George, Tian Zhang, Matthew Zibelman, Pooja Ghatalia, Isabel Araujo-Fernandez, Luis de la Cruz-Merino, Arun Singavi, Ben George, Alexander C. MacKinnon, Jonathan Thompson, Rajbir Singh, Robin Jacob, Deepa Kasuganti, Neel Shah, Roger Day, Lorenzo Galluzzi, Mark Gardner, Carl Morrison |
X Demographics
The data shown below were collected from the profiles of 12 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 | 5 | 42% |
Spain | 2 | 17% |
Italy | 1 | 8% |
Colombia | 1 | 8% |
Canada | 1 | 8% |
Unknown | 2 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 67% |
Scientists | 2 | 17% |
Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 141 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 32 | 23% |
Student > Master | 13 | 9% |
Other | 12 | 9% |
Student > Ph. D. Student | 12 | 9% |
Student > Bachelor | 9 | 6% |
Other | 19 | 13% |
Unknown | 44 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 32 | 23% |
Biochemistry, Genetics and Molecular Biology | 26 | 18% |
Agricultural and Biological Sciences | 13 | 9% |
Immunology and Microbiology | 7 | 5% |
Engineering | 3 | 2% |
Other | 13 | 9% |
Unknown | 47 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 03 June 2021.
All research outputs
#4,210,865
of 25,461,852 outputs
Outputs from Journal for Immunotherapy of Cancer
#1,110
of 3,436 outputs
Outputs of similar age
#89,977
of 447,090 outputs
Outputs of similar age from Journal for Immunotherapy of Cancer
#32
of 77 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,436 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 gotten more attention than average, scoring higher than 67% 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 447,090 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 79% of its contemporaries.
We're also able to compare this research output to 77 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 58% of its contemporaries.