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生信数据挖掘发表SCI，为何拒稿率越来越高？因为现在会用R等软件，画个热图、火山图、PPI网络的人越来越多了，大家一窝蜂地每3、5天一篇文章的质量去刷，可想而知数据量和作图都是粗糙的，审稿人自然开始审美疲劳了。不过高分的生信SCI不在少数其实，猫头鹰博士给大家分析了一下2019年高分期刊（影响因子3.5分~12分）纯生信文章的统计结果，检索了2019年全年，共发现~750篇，平均62篇/月。我们按照年接收量＞10篇的标准对杂志（>3.4分）统计，如果按照接收数量排序，J Cell Biochem（3.4分）、J Cell Physiol（4.5分）、Front Oncol（4.13分）、Sci Rep（4.011）、Front Genet（3.517分）、Cancers(Basel)（6.16分），如下： 纯生信友好期刊 | 2019接收量 | 影响因子 | J Cell Biochem | 83 | 3.40 | J Cell Physiol | 68 | 4.50 | Front Oncol | 60 | 4.13 | Sci Rep | 58 | 4.01 | Front Genet | 47 | 3.52 | Cancers (Basel) | 43 | 6.16 | Cancer Cell Int | 39 | 3.44 | Aging (Albany NY) | 37 | 5.52 | Bioinformatics | 33 | 4.53 | J Transl Med | 24 | 4.10 | Biomed Pharmacother | 22 | 3.74 | Int J Mol Sci | 22 | 4.18 | EBioMedicine | 18 | 6.68 | J Cell Mol Med | 18 | 4.66 | Nucleic Acids Res | 12 | 11.15 | Breast Cancer Res Treat | 11 | 3.47 | Epigenomics | 11 | 4.40 | Int J Cancer | 11 | 4.98 | Brief Bioinform | 10 | 9.10 | Oncogene | 10 | 6.63 |
纯生信友好期刊 | 影响因子 | 2019接收量 | Nat Commun | 11.88 | 6 | Nucleic Acids Res | 11.15 | 12 | Brief Bioinform | 9.10 | 10 | Clin Cancer Res | 8.91 | 7 | J Immunother Cancer | 8.68 | 7 | Cancer Res | 8.38 | 5 | EBioMedicine | 6.68 | 18 | Oncogene | 6.63 | 10 | Cancers (Basel) | 6.16 | 43 | Mol Oncol | 5.96 | 7 | Cell Death Dis | 5.96 | 6 | J Clin Med | 5.69 | 7 | J Exp Clin Cancer Res | 5.65 | 7 | Aging (Albany NY) | 5.52 | 37 | Clin Epigenetics | 5.50 | 7 | Oncoimmunology | 5.33 | 6 | Cancer Epidemiol Biomarkers Prev | 5.06 | 5 | Int J Cancer | 4.98 | 11 | Cancer Immunol Immunother | 4.90 | 6 | Cancer Sci | 4.75 | 7 | Cancer Gene Ther | 4.68 | 5 | J Cell Mol Med | 4.66 | 18 | Bioinformatics | 4.53 | 33 | J Cell Physiol | 4.50 | 68 | Mol Cancer Res | 4.48 | 5 | PLoS Comput Biol | 4.43 | 5 | Epigenomics | 4.40 | 11 | Gynecol Oncol | 4.39 | 7 | Int J Mol Sci | 4.18 | 22 | Front Oncol | 4.13 | 60 | J Transl Med | 4.10 | 24 | Sci Rep | 4.01 | 58 | Carcinogenesis | 4.00 | 7 | Front Pharmacol | 3.85 | 6 | Biomed Pharmacother | 3.74 | 22 | Oral Oncol | 3.73 | 5 | Ann Transl Med | 3.69 | 6 | Int J Oncol | 3.57 | 9 | Front Genet | 3.52 | 47 | Breast Cancer Res Treat | 3.47 | 11 | Life Sci | 3.45 | 5 | Cancer Cell Int | 3.44 | 39 | World J Gastroenterol | 3.41 | 7 | Mol Carcinog | 3.41 | 5 | J Cell Biochem | 3.40 | 83 |
其中大于5分的杂志里Cancers (Basel)、Aging (Albany NY)、EBioMedicine对纯生信类的文章最为友好的，好中一些。
文章名 | 杂志 | 影响因子 | A comprehensive PDX gastric cancer collection captures cancer cell intrinsic transcriptional MSI traits. | Cancer Res | 8.378 | Identification of Coding and Long Noncoding RNAs Differentially Expressed in Tumors and Preferentially Expressed in Healthy Tissues.(泛癌) | Identifying and targeting cancer-specific metabolism with network-based drug target prediction.(泛癌) | EBioMedicine | 6.68 | Pathway-based biomarker identification with crosstalk analysis for robust prognosis prediction in hepatocellular carcinoma. | Increased glycolysis correlates with elevated immune activity in tumor immune microenvironment.(泛癌) | Incorporation of long non-coding RNA expression profile in the 2017 ELN risk classification can improve prognostic prediction of acute myeloid leukemia patients. | Identification of candidate diagnostic and prognostic biomarkers for pancreatic carcinoma. | Comprehensive characterization of the rRNA metabolism-related genes in human cancer.(泛癌) | Oncogene | 6.634 | Histoepigenetic analysis of HPV- and tobacco-associated head and neck cancer identifies both subtype-specific and common therapeutic targets despite divergent microenvironments. | Identification of SERPINE1 as a Regulator of Glioblastoma Cell Dispersal with Transcriptome Profiling | Cancers (Basel) | 6.16 | The YAP1-NMU Axis Is Associated with Pancreatic Cancer Progression and Poor Outcome: Identification of a Novel Diagnostic Biomarker and Therapeutic Target. | KRAS-Driven Lung Adenocarcinoma and B Cell Infiltration: Novel Insights for Immunotherapy.免疫浸润 | Clinical Impact of RANK Signalling in Ovarian Cancer. | Identification of microRNAs involved in pathways which characterize the expression subtypes of NSCLC. | Mol Oncol | 5.962 | Identification of lncRNAs associated with early-stage breast cancer and their prognostic implications. | Differentially expressed autophagy-related genes are potential prognostic and diagnostic biomarkers in clear-cell renal cell carcinoma. | Aging (Albany NY) | 5.515 | TPM2 as a potential predictive biomarker for atherosclerosis.非肿瘤 | An eight-long non-coding RNA signature as a candidate prognostic biomarker for bladder cancer. | Identification and validation of four hub genes involved in the plaque deterioration of atherosclerosis. | Identification of potential blood biomarkers for Parkinson's disease（非肿瘤）by gene expression and DNA methylation data integration analysis. | Clin Epigenetics | 5.496 |
2．单疾病的多组学（转录组、DNA甲基化、ATAC-seq）联合分析；3．单细胞测序数据分析：聚类分析、PCA/t-SNE降维、细胞分群、拟时分析、TCGA数据验证的创新模式；总之，以此类推，分数和工作量是成正比的，猫头鹰博士相信2020年生信分析依然大有作为。欢迎咨询，我们会给您提供个性化的分析方案，免费的哦。
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