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 |
PD-1/PD-L1 pathway in non-small-cell lung cancer and its relation with EGFR mutation
|
|---|---|
| Published in |
Journal of Translational Medicine, January 2015
|
| DOI | 10.1186/s12967-014-0373-0 |
| Pubmed ID | |
| Authors |
Mei Ji, Yan Liu, Qing Li, Xiao-Dong Li, Wei-Qing Zhao, Hanze Zhang, Xiaofei Zhang, Jing-Ting Jiang, Chang-Ping Wu |
| Abstract |
Immunotherapy has become a crucial modality for non-small-cell lung cancer treatment. Recently, two immune checkpoints, PD-1 and PD-L1, have emerged as important targets for immunotherapy. Their antitumor efficacy has been confirmed by in vitro and in vivo studies. But the correlation between PD-1/PD-L1 expression and EGFR expression was controversial and needs more evidences to support the combination of PD-1/PD-L1 inhibitors and tyrosine kinase inhibitors. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| India | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 161 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 19% |
| Student > Ph. D. Student | 21 | 13% |
| Student > Bachelor | 17 | 10% |
| Student > Master | 17 | 10% |
| Other | 13 | 8% |
| Other | 32 | 20% |
| Unknown | 33 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 56 | 34% |
| Agricultural and Biological Sciences | 26 | 16% |
| Biochemistry, Genetics and Molecular Biology | 22 | 13% |
| Immunology and Microbiology | 9 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 4% |
| Other | 11 | 7% |
| Unknown | 34 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 19 January 2015.
All research outputs
#15,330,390
of 23,577,654 outputs
Outputs from Journal of Translational Medicine
#2,072
of 4,185 outputs
Outputs of similar age
#202,459
of 355,996 outputs
Outputs of similar age from Journal of Translational Medicine
#62
of 127 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,185 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 43rd percentile – i.e., 43% 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 355,996 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.