Altman, D. G. (2002). Poor-quality medical research: What can journals do? JAMA,
287(21), 2765–2767. doi:10.1001/jama.287.21.2765.
Article
Google Scholar
Amancio, D. R. (2015). Comparing the topological properties of real and artificially generated scientific manuscripts. Scientometrics,
105(4), 1763–1779. doi:10.1007/s11192-015-1637-z.
Article
Google Scholar
Amancio, D. R., Aluisio, S. M., Oliveira, O. N., & Costa, L. da F. (2012). Complex networks analysis of language complexity. Europhysics Letters,
100(5), 58002. doi:10.1209/0295-5075/100/58002.
Anderson, M. S., Ronning, E. A., De Vries, R., & Martinson, B. C. (2007). The perverse effects of competition on scientists’ work and relationships. Science and Engineering Ethics,
13(4), 437–461. doi:10.1007/s11948-007-9042-5.
Article
Google Scholar
Argamon, S., & Levitan, S. (2005). Measuring the usefulness of function words for authorship attribution. In Proceeding of the 2005 ACH/ALLC conference, June 2005, Victoria, BC, Canada.
Ausloos, M., Nedic, O., Fronczak, A., & Fronczak, P. (2016). Quantifying the quality of peer reviewers through Zipf’s law. Scientometrics,
106(1), 347–368. doi:10.1007/s11192-015-1704-5.
Article
Google Scholar
Bik, E. M., Casadevall, A., & Fang, F. C. (2016). The prevalence of inappropriate image duplication in biomedical research publications. mBio,
7(3), e00809–e00816. doi:10.1128/mBio.00809-16.
Article
Google Scholar
Bohannon, J. (2015). Hoax-detecting software spots fake papers. Science,
348(6230), 18–19. doi:10.1126/science.aab0381.
MathSciNet
Article
Google Scholar
Bornmann, L. (2013). Research misconduct-definitions, manifestations and extent. Publications,
1, 87–98. doi:10.3390/publications1030087.
Article
Google Scholar
Bowen, A., & Casadevall, A. (2015). Increasing disparities between resource inputs and outcomes, as measured by certain health deliverables, in biomedical research. Proceedings of the National Academy of Sciences of the United States of America,
112(36), 11335–11340. doi:10.1073/pnas.1504955112.
Article
Google Scholar
Boyer-Guittaut, M., Poillet, L., Liang, Q., Bôle-Richard, E., Ouyang, X., Benavides, G. A., et al. (2014). The role of GABARAPL1/GEC1 in autophagic flux and mitochondrial quality control in MDA-MB-436 breast cancer cells. Autophagy,
10(6), 986–1003. doi:10.4161/auto.28390.
Article
Google Scholar
Butler, L. (2003). Explaining Australia’s increased share of ISI publications—The effects of a funding formula based on publication counts. Research Policy,
32(1), 143–155. doi:10.1016/S0048-7333(02)00007-0.
Article
Google Scholar
Byrne, J. A., Frost, S., Chen, Y., & Bright, R. K. (2014). Tumor protein D52 (TPD52) and cancer—Oncogene understudy, or understudied oncogene? Tumour Biology,
35(8), 7369–7382. doi:10.1007/s13277-014-2006-x.
Article
Google Scholar
Capes-Davis, A., & Neve, R. M. (2016). Authentication: A standard problem or a problem of standards? PLoS Biology,
14(6), e1002477. doi:10.1371/journal.pbio.1002477.
Article
Google Scholar
Carpena, P., Bernaola-Galván, P., Hackenberg, M., Coronado, A. V., & Oliver, J. L. (2009). Level statistics of words: Finding keywords in literary texts and symbolic sequences. Physical Review E: Statistical, Nonlinear, and Soft Matter Physics,
79(3 Pt 2), 035102. doi:10.1103/PhysRevE.79.035102.
Article
Google Scholar
Casadevall, A., Steen, R. G., & Fang, F. C. (2014). Sources of error in the retracted scientific literature. The FASEB Journal,
28(9), 3847–3855. doi:10.1096/fj.14-256735.
Article
Google Scholar
Citron, D. T., & Ginsparg, P. (2015). Patterns of text reuse in a scientific corpus. Proceedings of the National Academy of Sciences of the United States of America,
112(1), 25–30. doi:10.1073/pnas.1415135111.
Article
Google Scholar
Cover, T. M., & Hart, P. E. (1967). Nearest neighbor pattern classification. IEEE Transactions on Information Theory,
IT-13, 21–27.
Article
MATH
Google Scholar
Delgado López-Cózar, E., Robinson-García, N., & Torres-Salinas, D. (2014). The Google scholar experiment: How to index false papers and manipulate bibliometric indicators. Journla of the Association for Information Science and Technology,
65, 446–454. doi:10.1002/asi.23056.
Article
Google Scholar
Djuric, D. (2015). Penetrating the omerta of predatory publishing: The Romanian connection. Science and Engineering Ethics,
21(1), 183–202. doi:10.1007/s11948-014-9521-4.
Article
Google Scholar
Fahrenberg, U., Biondi, F., Corre, K., Jégourel, C., Kongshøj, S., & Legay, A. (2014). Measuring global similarity between texts. In L. Besacier et al. (Eds.), Statistical language and speech processing, lecture notes in computer science (Vol. 8791, pp. 220–232). Switzerland: Springer International Publishing. doi:10.1007/978-3-319-11397-5_17.
Fanelli, D. (2009). How many scientists fabricate and falsify research? A systematic review and meta-analysis of survey data. PLoS ONE,
4(5), e5738. doi:10.1371/journal.pone.0005738.
Article
Google Scholar
Fang, F. C., & Casadevall, A. (2015). Competitive science: Is competition ruining science? Infection and Immunity,
83(4), 1229–1233. doi:10.1128/IAI.02939-14.
Article
Google Scholar
Fang, F. C., Steen, R. G., & Casadevall, A. (2012). Misconduct accounts for the majority of retracted scientific publications. Proceedings of the National Academy of Sciences of the United States of America,
109(42), 17028–17033. doi:10.1073/pnas.1212247109.
Article
Google Scholar
Ferguson, C., Marcus, A., & Oransky, I. (2014). The peer-review scam. Nature,
515(7528), 480–482.
Article
Google Scholar
Ginsparg, P. (2014). Automated screening: Arxiv screens spot fake papers. Nature,
508(7494), 44. doi:10.1038/508044a.
Article
Google Scholar
He, Y., Chen, F., Cai, Y., & Chen, S. (2015). Knockdown of tumor protein D52-like 2 induces cell growth inhibition and apoptosis in oral squamous cell carcinoma. Cell Biology International,
39(3), 264–271. doi:10.1002/cbin.10388.
Article
Google Scholar
He, Y., Chen, F., Cai, Y., & Chen, S. (2016). Retracted: Knockdown of tumor protein D52-like 2 induces cell growth inhibition and apoptosis in oral squamous cell carcinoma. Cell Biology International,
40(3), 361. doi:10.1002/cbin.10593.
Article
Google Scholar
Hockey, S., & Martin, J. (1988). OCP users’ manual. Oxford: Oxford University Computing Service.
Google Scholar
Hvistendahl, M. (2013). China’s publication bazaar. Science,
342(6162), 1035–1039. doi:10.1126/science.342.6162.1035.
Article
Google Scholar
Konwisorz, A., Springwald, A., Haselberger, M., Goerse, R., Ortmann, O., & Treeck, O. (2010). Knockdown of ICB-1 gene enhanced estrogen responsiveness of ovarian and breast cancer cells. Endocrine-Related Cancer,
17(1), 147–157. doi:10.1677/ERC-09-0095.
Article
Google Scholar
Kornfeld, D. S. (2012). Perspective: Research misconduct: The search for a remedy. Academic Medicine,
87(7), 877–882. doi:10.1097/ACM.0b013e318257ee6a.
Article
Google Scholar
Kreutzberg, G. W. (2004). The rules of good science. EMBO Reports,
5(4), 330–332. doi:10.1038/sj.embor.7400136.
Article
Google Scholar
Labbé, C., & Labbé, D. (2012). Detection of hidden intertextuality in the scientific publications. In 11th International conference on textual data statistical analysis, 2012, Liège, Belgium (pp. 537–551). Liège: LASLA - SESLA.
Labbé, C., & Labbé, D. (2013). Duplicate and fake publications in the scientific literature: How many SCIgen papers in computer science? Scientometrics,
94(1), 379–396. doi:10.1007/s11192-012-0781-y.
Article
Google Scholar
Lesk, M. (2015). How many scientific papers are not original? Proceedings of the National Academy of Sciences of the United States of America,
112(1), 6–7. doi:10.1073/pnas.1422282112.
Article
Google Scholar
Lin, S. (2013). Why serious academic fraud occurs in China. Learned Publishing,
26(1), 24–27. doi:10.1087/20130105.
Article
Google Scholar
Mehri, A., Darooneh, A. H., & Shariati, A. (2012). The complex networks approach for authorship attribution of books. Physica A: Statistical Mechanics and its Applications,
391(7), 2429–2437. doi:10.1016/j.physa.2011.12.011.
Article
Google Scholar
Michels, C., & Schmoch, U. (2012). The growth of science and database coverage. Scientometrics,
93(3), 831–846. doi:10.1007/s11192-012-0732-7.
Article
Google Scholar
Moore, R. A., Derry, S., & McQuay, H. J. (2010). Fraud or flawed: Adverse impact of fabricated or poor quality research. Anaesthesia,
65(4), 327–330. doi:10.1111/j.1365-2044.2010.06295.x.
Article
Google Scholar
Nourse, C. R., Mattei, M. G., Gunning, P., & Byrne, J. A. (1998). Cloning of a third member of the D52 gene family indicates alternative coding sequence usage in D52-like transcripts. Biochimica et Biophysica Acta,
1443(1–2), 155–168.
Article
Google Scholar
Nuijten, M. B., Hartgerink, C. H. J., van Assen, M. A. L. M., Epskamp, S., & Wicherts, J. M. (2015). The prevalence of statistical reporting errors in psychology (1985–2013). Behavior Research Methods. doi:10.3758/s13428-015-0664-2.
Google Scholar
Pan, Z. Y., Yang, Y., Pan, H., Zhang, J., Liu, H., Yang, Y., et al. (2015). Lentivirus-mediated TPD52L2 depletion inhibits the proliferation of liver cancer cells in vitro. International Journal of Clinical and Experimental Medicine,
8(2), 2334–2341.
Google Scholar
Parolo, P. D. B., Pan, R. K., Ghosh, R., Huberman, B. A., Kaski, K., & Fortunato, S. (2015). Attention decay in science. Journal of Informetrics,
9(4), 734–745. doi:10.1016/j.joi.2015.07.006.
Article
Google Scholar
Pautasso, M. (2012). Publication growth in biological sub-fields: Patterns, predictability and sustainability. Sustainability,
4(12), 3234–3247. doi:10.3390/su4123234.
Article
Google Scholar
Retraction. (2016). Lentivirus-mediated TPD52L2 depletion inhibits the proliferation of liver cancer cells in vitro [Retraction]. International Journal of Clinical and Experimental Medicine, 9(6), 12416.
Roslan, N., Bièche, I., Bright, R. K., Lidereau, R., Chen, Y., & Byrne, J. A. (2014). TPD52 represents a survival factor in ERBB2-amplified breast cancer cells. Molecular Carcinogenesis,
53, 807–819. doi:10.1002/mc.22038.
Article
Google Scholar
Shehata, M., Bieche, I., Boutros, R., Weidenhofer, J., Fanayan, S., Spalding, L., et al. (2008). Non-redundant functions for tumor protein D52-like proteins support specific targeting of TPD52. Clinical Cancer Research,
14, 5050–5060. doi:10.1158/1078-0432.
Article
Google Scholar
Shvets, A. (2014). A method of automatic detection of pseudoscientific publications. In: D. Filev et al. (Eds.), Intelligent systems′2014, advances in intelligent systems and computing (Vol. 323, pp. 533–539). Switzerland: Springer International Publishing. doi:10.1007/978-3-319-11310-4_46.
Siebert, S., Machesky, L. M., & Insall, R. H. (2015). Overflow in science and its implications for trust. Elife. doi:10.7554/eLife.10825.
Google Scholar
Smith, R. (2006). Research misconduct: The poisoning of the well. Journal of the Royal Society of Medicine,
99(5), 232–237. doi:10.1258/jrsm.99.5.232.
Article
Google Scholar
Stamatatos, E. (2009). A survey of modern authorship attribution methods. Journal of the American Society for Information Science and Technology,
60(3), 538–556. doi:10.1002/asi.21001.
Article
Google Scholar
Steen, R. G. (2011a). Retractions in the scientific literature: Do authors deliberately commit research fraud? Journal of Medical Ethics,
37(2), 113–117. doi:10.1136/jme.2010.038125.
Article
Google Scholar
Steen, R. G. (2011b). Misinformation in the medical literature: What role do error and fraud play? Journal of Medical Ethics,
37(8), 498–503. doi:10.1136/jme.2010.041830.
Article
Google Scholar
Tian, M., Su, Y., & Ru, X. (2016). Perish or publish in China: Pressures on young Chinese scholars to publish in internationally indexed journals. Publications,
4, 9. doi:10.3390/publications4020009.
Article
Google Scholar
Tuzzi, A. (2010). What to put in the bag? Comparing and contrasting procedures for text clustering. Statistica Applicata-Italian Journal of Applied Statistics,
22(1), 81–98.
Google Scholar
van Dalen, H., & Henkens, K. (2012). Intended and unintended consequences of a publish-or-perish culture: A worldwide survey. JASIS&T,
63(7), 1282–1293. doi:10.1002/asi.22636.
Article
Google Scholar
Verma, S., Tabb, M. M., & Blumberg, B. (2009). Activation of the steroid and xenobiotic receptor, SXR, induces apoptosis in breast cancer cells. BMC Cancer,
9, 3. doi:10.1186/1471-2407-9-3.
Article
Google Scholar
Wang, Z., Sun, J., Zhao, Y., Guo, W., Lv, K., & Zhang, Q. (2014). Lentivirus-mediated knockdown of tumor protein D52-like 2 inhibits glioma cell proliferation. Cellular and Molecular Biology (Noisy-le-grand),
60(1), 39–44.
Google Scholar
Wang, X., Xu, S., Peng, L., Wang, Z., Wang, C., Zhang, C., et al. (2012). Exploring scientists’ working timetable: Do scientists often work overtime? Journal of Informetrics,
6(4), 655–660. doi:10.1016/j.joi.2012.07.003.
Article
Google Scholar
White, C. (2005). Suspected research fraud: Difficulties of getting at the truth. BMJ,
331(7511), 281–288. doi:10.1136/bmj.331.7511.281.
Article
Google Scholar
Wilson, S. H., Bailey, A. M., Nourse, C. R., Mattei, M. G., & Byrne, J. A. (2001). Identification of MAL2, a novel member of the MAL proteolipid family, though interactions with TPD52-like proteins in the yeast two-hybrid system. Genomics,
76(1–3), 81–88. doi:10.1006/geno.2001.6610.
Article
Google Scholar
Xu, J., Wang, W., Zhu, Z., Wei, Z., Yang, D., & Cai, Q. (2015). Tumor protein D52-like 2 accelerates gastric cancer cell proliferation in vitro. Cancer Biotherapy and Radiopharmaceuticals,
30(3), 111–116. doi:10.1089/cbr.2014.1766.
Article
Google Scholar
Yang, M., Wang, X., Jia, J., Gao, H., Chen, P., Sha, X., et al. (2015). Tumor protein D52-like 2 contributes to proliferation of breast cancer cells. Cancer Biotherapy and Radiopharmaceuticals,
30(1), 1–7. doi:10.1089/cbr.2014.1723.
Article
Google Scholar
Ye, X.-F., Yu, D.-H., & He, J. (2013). The rise in meta-analyses from China. Epidemiology,
24(2), 335–336. doi:10.1097/EDE.0b013e31828264be.
Article
Google Scholar
Zeng, W., & Resnik, D. (2010). Research integrity in China: Problems and prospects. Developing World Bioethics,
10(3), 164–171. doi:10.1111/j.1471-8847.2009.00263.x.
Article
Google Scholar