| Title |
A Computational Model of Neoadjuvant PD-1 Inhibition in Non-Small Cell Lung Cancer
|
|---|---|
| Published in |
The AAPS Journal, June 2019
|
| DOI | 10.1208/s12248-019-0350-x |
| Pubmed ID | |
| Authors |
Mohammad Jafarnejad, Chang Gong, Edward Gabrielson, Imke H. Bartelink, Paolo Vicini, Bing Wang, Rajesh Narwal, Lorin Roskos, Aleksander S. Popel |
X Demographics
The data shown below were collected from the profiles of 4 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 | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 113 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 17% |
| Student > Ph. D. Student | 18 | 16% |
| Student > Bachelor | 12 | 11% |
| Student > Master | 12 | 11% |
| Professor > Associate Professor | 7 | 6% |
| Other | 12 | 11% |
| Unknown | 33 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 13 | 12% |
| Biochemistry, Genetics and Molecular Biology | 12 | 11% |
| Mathematics | 11 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 10 | 9% |
| Medicine and Dentistry | 9 | 8% |
| Other | 20 | 18% |
| Unknown | 38 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 30 July 2019.
All research outputs
#13,297,546
of 23,151,828 outputs
Outputs from The AAPS Journal
#670
of 1,298 outputs
Outputs of similar age
#166,190
of 351,424 outputs
Outputs of similar age from The AAPS Journal
#7
of 35 outputs
Altmetric has tracked 23,151,828 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,298 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 351,424 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 51% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.