Automated Author ProfileMahdi, Amar
Mahdi, Amar
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.3 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Summary
Thismetadata record provides details of the data supporting the claims of therelated article: “Genetic interactions among Brca1,Brca2, Palb2 and Trp53 in mammary tumor development”.Therelated study conducted parallel conditional knockout (CKO) of Brca1, Palb2 andBrca2, individually and in combination, along with one copy of Trp53, in themammary gland of nulliparous female mice in order to directly compare thelatency and penetrance of tumour development associated with each gene and thehistopathological and genomic features of the mutant tumours in the samesetting. Type of data:whole exome sequencing, analyses of mouse mammary glands and cultured humancells; flow cytometrySubject ofdata: mouse of mixed background; DAOY cells from ATCCSample size:Number of mice used (n=~25 per genotype) was determined empirically. Number of tumours sequenced (n=5 per hostgenotype) was determined empirically and by available financial resources. DataaccessThe wholeexome sequencing data are openly available in the Sequence Read Archive via the following accession: https://identifiers.org/ncbi/insdc.sra:SRP199480(BioProject accession: PRJNA544737).Supplementary Table S1, which underliesFigure 1 and Table 1 of the related article, is shared openly with this datarecord in the Excel file ‘Table S1.xlsx’.Original blots underlying Figure 5 arealso shared openly with this data record in the PDF files ‘Figure S4.pdf’ and ‘FigureS5.pdf’. Corresponding author(s) for this studyBingXia, Rutgers Cancer Institute of New Jersey, 195 Little Albany Street, NewBrunswick, NJ 08903. Phone: +1 732-235-7410; Email: [email protected], Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY10065. Phone: +1 212-639-2332; Email: [email protected]
Ethics oversight IACUCof Rutgers Robert Wood Johnson Medical School
Authors
- Huo, Yanying ;
- Selenica, Pier ;
- Mahdi, Amar ;
- Pareja, Fresia ;
- Kyker-Snowman, Kelly ;
- Chen, Ying ;
- Kumar, Rahul ;
- Paula, Arnaud Da Cruz ;
- Basili, Thais ;
- Brown, David N ;
- Pei, Xin ;
- Riaz, Nadeem ;
- Tan, Yongmei ;
- Huang, Yu-Xiu ;
- Li, Tao ;
- Barnard, Nicola J ;
- Reis-Filho, Jorge S ;
- Weigelt, Britta ;
- Xia, Bing
Summary
Thismetadata record provides details of the data supporting the claims of therelated article: “Genetic interactions among Brca1,Brca2, Palb2 and Trp53 in mammary tumor development”.Therelated study conducted parallel conditional knockout (CKO) of Brca1, Palb2 andBrca2, individually and in combination, along with one copy of Trp53, in themammary gland of nulliparous female mice in order to directly compare thelatency and penetrance of tumour development associated with each gene and thehistopathological and genomic features of the mutant tumours in the samesetting. Type of data:whole exome sequencing, analyses of mouse mammary glands and cultured humancells; flow cytometrySubject ofdata: mouse of mixed background; DAOY cells from ATCCSample size:Number of mice used (n=~25 per genotype) was determined empirically. Number of tumours sequenced (n=5 per hostgenotype) was determined empirically and by available financial resources. DataaccessThe wholeexome sequencing data are openly available in the Sequence Read Archive via the following accession: https://identifiers.org/ncbi/insdc.sra:SRP199480(BioProject accession: PRJNA544737).Supplementary Table S1, which underliesFigure 1 and Table 1 of the related article, is shared openly with this datarecord in the Excel file ‘Table S1.xlsx’.Original blots underlying Figure 5 arealso shared openly with this data record in the PDF files ‘Figure S4.pdf’ and ‘FigureS5.pdf’. Corresponding author(s) for this studyBingXia, Rutgers Cancer Institute of New Jersey, 195 Little Albany Street, NewBrunswick, NJ 08903. Phone: +1 732-235-7410; Email: [email protected], Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY10065. Phone: +1 212-639-2332; Email: [email protected]
Ethics oversight IACUCof Rutgers Robert Wood Johnson Medical School
Authors
- Huo, Yanying ;
- Selenica, Pier ;
- Mahdi, Amar ;
- Pareja, Fresia ;
- Kyker-Snowman, Kelly ;
- Chen, Ying ;
- Kumar, Rahul ;
- Paula, Arnaud Da Cruz ;
- Basili, Thais ;
- Brown, David N ;
- Pei, Xin ;
- Riaz, Nadeem ;
- Tan, Yongmei ;
- Huang, Yu-Xiu ;
- Li, Tao ;
- Barnard, Nicola J ;
- Reis-Filho, Jorge S ;
- Weigelt, Britta ;
- Xia, Bing