| Title |
Correction to: Genomics of NSCLC patients both affirm PD-L1 expression and predict their clinical responses to anti-PD-1 immunotherapy
|
|---|---|
| Published in |
BMC Cancer, April 2018
|
| DOI | 10.1186/s12885-018-4200-5 |
| Pubmed ID | |
| Authors |
Kim A. Brogden, Deepak Parashar, Andrea R. Hallier, Terry Braun, Fang Qian, Naiyer A. Rizvi, Aaron D. Bossler, Mohammed M. Milhem, Timothy A. Chan, Taher Abbasi, Shireen Vali |
| Abstract |
It has been highlighted that in the original manuscript [1] Table S3 'An example of the predictive computational modeling process. Specific details on an annexure section of the PD-L1 pathway show the step-by-step reactions, mechanisms, and reaction equations that occur. Such reactions also occurred in all of the other pathways' was omitted and did not appear in the Additional files and that the Additional files were miss-numbered thereafter. This Correction shows the correct and incorrect Additional files. The original article has been updated. |
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 % |
|---|---|---|
| United States | 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 25% |
| Student > Master | 2 | 25% |
| Student > Postgraduate | 1 | 13% |
| Student > Ph. D. Student | 1 | 13% |
| Unknown | 2 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 50% |
| Social Sciences | 1 | 13% |
| Unknown | 3 | 38% |
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 18 April 2018.
All research outputs
#18,603,172
of 23,043,346 outputs
Outputs from BMC Cancer
#5,467
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Outputs of similar age
#255,548
of 329,221 outputs
Outputs of similar age from BMC Cancer
#148
of 228 outputs
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