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.
Mendeley readers
Attention Score in Context
| Title |
Prediction of clinical response to drugs in ovarian cancer using the chemotherapy resistance test (CTR-test)
|
|---|---|
| Published in |
Journal of Ovarian Research, October 2017
|
| DOI | 10.1186/s13048-017-0365-9 |
| Pubmed ID | |
| Authors |
Frank Christian Kischkel, Carina Meyer, Julia Eich, Mani Nassir, Monika Mentze, Ioana Braicu, Annette Kopp-Schneider, Jalid Sehouli |
| Abstract |
In order to validate if the test result of the Chemotherapy Resistance Test (CTR-Test) is able to predict the resistances or sensitivities of tumors in ovarian cancer patients to drugs, the CTR-Test result and the corresponding clinical response of individual patients were correlated retrospectively. Results were compared to previous recorded correlations. The CTR-Test was performed on tumor samples from 52 ovarian cancer patients for specific chemotherapeutic drugs. Patients were treated with monotherapies or drug combinations. Resistances were classified as extreme (ER), medium (MR) or slight (SR) resistance in the CTR-Test. Combination treatment resistances were transformed by a scoring system into these classifications. Accurate sensitivity prediction was accomplished in 79% of the cases and accurate prediction of resistance in 100% of the cases in the total data set. The data set of single agent treatment and drug combination treatment were analyzed individually. Single agent treatment lead to an accurate sensitivity in 44% of the cases and the drug combination to 95% accuracy. The detection of resistances was in both cases to 100% correct. ROC curve analysis indicates that the CTR-Test result correlates with the clinical response, at least for the combination chemotherapy. Those values are similar or better than the values from a publication from 1990. Chemotherapy resistance testing in vitro via the CTR-Test is able to accurately detect resistances in ovarian cancer patients. These numbers confirm and even exceed results published in 1990. Better sensitivity detection might be caused by a higher percentage of drug combinations tested in 2012 compared to 1990. Our study confirms the functionality of the CTR-Test to plan an efficient chemotherapeutic treatment for ovarian cancer patients. |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 31% |
| Student > Ph. D. Student | 2 | 15% |
| Student > Doctoral Student | 2 | 15% |
| Lecturer > Senior Lecturer | 1 | 8% |
| Lecturer | 1 | 8% |
| Other | 2 | 15% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 38% |
| Biochemistry, Genetics and Molecular Biology | 3 | 23% |
| Nursing and Health Professions | 2 | 15% |
| Computer Science | 1 | 8% |
| Engineering | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 1 | 8% |
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 27 June 2018.
All research outputs
#7,542,740
of 23,012,811 outputs
Outputs from Journal of Ovarian Research
#104
of 600 outputs
Outputs of similar age
#124,619
of 328,344 outputs
Outputs of similar age from Journal of Ovarian Research
#4
of 8 outputs
Altmetric has tracked 23,012,811 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 600 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 77% 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 328,344 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 54% of its contemporaries.
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. This one has scored higher than 4 of them.