單細胞分析 (Chinese Wikipedia)
Analysis of information sources in references of the Wikipedia article "單細胞分析" in Chinese language version.
refsWebsite
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Chinese rank
11th place
332nd place
1st place
1st place
low place
low place
doi.org (Global: 2nd place; Chinese: 23rd place)
- Wang D, Bodovitz S. Single cell analysis: the new frontier in 'omics'. Trends in Biotechnology. June 2010, 28 (6): 281–90. PMC 2876223
. PMID 20434785. doi:10.1016/j.tibtech.2010.03.002. - Habibi I, Cheong R, Lipniacki T, Levchenko A, Emamian ES, Abdi A. Computation and measurement of cell decision making errors using single cell data. PLoS Computational Biology. April 2017, 13 (4): e1005436. PMC 5397092 . PMID 28379950. doi:10.1371/journal.pcbi.1005436.
- Altschuler SJ, Wu LF. Cellular heterogeneity: do differences make a difference?. Cell. May 2010, 141 (4): 559–63 [2020-01-17]. PMC 2918286 . PMID 20478246. doi:10.1016/j.cell.2010.04.033. （原始内容存档于2017-04-19）.
- Mora-Castilla, S., et al. "Miniaturization technologies for efficient single-cell library preparation for next-generation sequencing" Journal of Laboratory Automation (2016): 557–67, https://doi.org/10.1177/2211068216630741
- Huang L, Ma F, Chapman A, Lu S, Xie XS. Single-Cell Whole-Genome Amplification and Sequencing: Methodology and Applications. Annual Review of Genomics and Human Genetics. 2015, 16 (1): 79–102. PMID 26077818. doi:10.1146/annurev-genom-090413-025352.
- Wu AR, Wang J, Streets AM, Huang Y. Single-Cell Transcriptional Analysis. Annual Review of Analytical Chemistry. June 2017, 10 (1): 439–462. PMID 28301747. doi:10.1146/annurev-anchem-061516-045228.
- Tsioris K, Torres AJ, Douce TB, Love JC. A new toolbox for assessing single cells. Annual Review of Chemical and Biomolecular Engineering. 2014, 5: 455–77. PMC 4309009 . PMID 24910919. doi:10.1146/annurev-chembioeng-060713-035958.
- Comi TJ, Do TD, Rubakhin SS, Sweedler JV. Categorizing Cells on the Basis of their Chemical Profiles: Progress in Single-Cell Mass Spectrometry. Journal of the American Chemical Society. March 2017, 139 (11): 3920–3929. PMC 5364434 . PMID 28135079. doi:10.1021/jacs.6b12822.
- Zhang L, Vertes A. Single-Cell Mass Spectrometry Approaches to Explore Cellular Heterogeneity. Angewandte Chemie. April 2018, 57 (17): 4466–4477. PMID 29218763. doi:10.1002/anie.201709719.
- Lee JH. De Novo Gene Expression Reconstruction in Space. Trends in Molecular Medicine. July 2017, 23 (7): 583–593. PMC 5514424 . PMID 28571832. doi:10.1016/j.molmed.2017.05.004.
mysciencework.com (Global: low place; Chinese: low place)
- Altschuler SJ, Wu LF. Cellular heterogeneity: do differences make a difference?. Cell. May 2010, 141 (4): 559–63 [2020-01-17]. PMC 2918286 . PMID 20478246. doi:10.1016/j.cell.2010.04.033. （原始内容存档于2017-04-19）.
nih.gov (Global: 4th place; Chinese: 5th place)
ncbi.nlm.nih.gov
- Wang D, Bodovitz S. Single cell analysis: the new frontier in 'omics'. Trends in Biotechnology. June 2010, 28 (6): 281–90. PMC 2876223 . PMID 20434785. doi:10.1016/j.tibtech.2010.03.002.
- Habibi I, Cheong R, Lipniacki T, Levchenko A, Emamian ES, Abdi A. Computation and measurement of cell decision making errors using single cell data. PLoS Computational Biology. April 2017, 13 (4): e1005436. PMC 5397092 . PMID 28379950. doi:10.1371/journal.pcbi.1005436.
- Altschuler SJ, Wu LF. Cellular heterogeneity: do differences make a difference?. Cell. May 2010, 141 (4): 559–63 [2020-01-17]. PMC 2918286 . PMID 20478246. doi:10.1016/j.cell.2010.04.033. （原始内容存档于2017-04-19）.
- Zheng GX et al, Nat Commun. 2017, “Massively parallel digital transcriptional profiling of single cells”, DOI:10.1038/ncomms14049 （页面存档备份，存于互联网档案馆）
- Huang L, Ma F, Chapman A, Lu S, Xie XS. Single-Cell Whole-Genome Amplification and Sequencing: Methodology and Applications. Annual Review of Genomics and Human Genetics. 2015, 16 (1): 79–102. PMID 26077818. doi:10.1146/annurev-genom-090413-025352.
- Wu AR, Wang J, Streets AM, Huang Y. Single-Cell Transcriptional Analysis. Annual Review of Analytical Chemistry. June 2017, 10 (1): 439–462. PMID 28301747. doi:10.1146/annurev-anchem-061516-045228.
- Tsioris K, Torres AJ, Douce TB, Love JC. A new toolbox for assessing single cells. Annual Review of Chemical and Biomolecular Engineering. 2014, 5: 455–77. PMC 4309009 . PMID 24910919. doi:10.1146/annurev-chembioeng-060713-035958.
- Comi TJ, Do TD, Rubakhin SS, Sweedler JV. Categorizing Cells on the Basis of their Chemical Profiles: Progress in Single-Cell Mass Spectrometry. Journal of the American Chemical Society. March 2017, 139 (11): 3920–3929. PMC 5364434 . PMID 28135079. doi:10.1021/jacs.6b12822.
- Zhang L, Vertes A. Single-Cell Mass Spectrometry Approaches to Explore Cellular Heterogeneity. Angewandte Chemie. April 2018, 57 (17): 4466–4477. PMID 29218763. doi:10.1002/anie.201709719.
- Lee JH. De Novo Gene Expression Reconstruction in Space. Trends in Molecular Medicine. July 2017, 23 (7): 583–593. PMC 5514424 . PMID 28571832. doi:10.1016/j.molmed.2017.05.004.
semanticscholar.org (Global: 11th place; Chinese: 332nd place)
- Huang L, Ma F, Chapman A, Lu S, Xie XS. Single-Cell Whole-Genome Amplification and Sequencing: Methodology and Applications. Annual Review of Genomics and Human Genetics. 2015, 16 (1): 79–102. PMID 26077818. doi:10.1146/annurev-genom-090413-025352.
- Wu AR, Wang J, Streets AM, Huang Y. Single-Cell Transcriptional Analysis. Annual Review of Analytical Chemistry. June 2017, 10 (1): 439–462. PMID 28301747. doi:10.1146/annurev-anchem-061516-045228.
- Zhang L, Vertes A. Single-Cell Mass Spectrometry Approaches to Explore Cellular Heterogeneity. Angewandte Chemie. April 2018, 57 (17): 4466–4477. PMID 29218763. doi:10.1002/anie.201709719.
web.archive.org (Global: 1st place; Chinese: 1st place)
- Altschuler SJ, Wu LF. Cellular heterogeneity: do differences make a difference?. Cell. May 2010, 141 (4): 559–63 [2020-01-17]. PMC 2918286 . PMID 20478246. doi:10.1016/j.cell.2010.04.033. （原始内容存档于2017-04-19）.
- Zheng GX et al, Nat Commun. 2017, “Massively parallel digital transcriptional profiling of single cells”, DOI:10.1038/ncomms14049 （页面存档备份，存于互联网档案馆）