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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Utility of PD-L1 immunohistochemistry assays for predicting PD-1/PD-L1 inhibitor response
|
|---|---|
| Published in |
Biomarker Research, March 2017
|
| DOI | 10.1186/s40364-017-0093-8 |
| Pubmed ID | |
| Authors |
Laurence P. Diggs, Eddy C. Hsueh |
| Abstract |
We have seen a notable increase in the application of PD-1/PD-L1 inhibitors for the treatment of several solid and hematogenous malignancies including metastatic melanoma, non-small-cell lung cancer and lymphoma to name a few. The need for biomarkers for identification of a suitable patient population for this type of therapy is now pressing. While specific biomarker assays have been developed for these checkpoint inhibitors based on their respective epitopes, the available studies suggested the clinical utility of these biomarker assays is for response stratification and not patient selection. Further improvement in assay development is needed to utilize this type of assay in identification of ideal patient population for this therapy. |
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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 130 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 18% |
| Student > Ph. D. Student | 17 | 13% |
| Student > Master | 15 | 12% |
| Student > Doctoral Student | 12 | 9% |
| Student > Postgraduate | 10 | 8% |
| Other | 27 | 21% |
| Unknown | 25 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 51 | 39% |
| Biochemistry, Genetics and Molecular Biology | 23 | 18% |
| Immunology and Microbiology | 9 | 7% |
| Agricultural and Biological Sciences | 5 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 2% |
| Other | 8 | 6% |
| Unknown | 31 | 24% |
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 25 March 2017.
All research outputs
#20,411,380
of 22,961,203 outputs
Outputs from Biomarker Research
#255
of 317 outputs
Outputs of similar age
#268,727
of 308,057 outputs
Outputs of similar age from Biomarker Research
#8
of 8 outputs
Altmetric has tracked 22,961,203 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 317 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 1st percentile – i.e., 1% 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 308,057 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.