
I came back to the United States, hearing about a very sad news: Craig Venter passed away today. He is a pioneer, successfully sequenced the first Human genome, and tried to create Synthetic Cells. We lost a giant in Science. RIP. @JCVenterInst
Divyesha Pathak
43 posts

@DivyeshaPathak
Just another curious soul. Pursuing MTech in Biotechnology, Savitribai Phule Pune University

I came back to the United States, hearing about a very sad news: Craig Venter passed away today. He is a pioneer, successfully sequenced the first Human genome, and tried to create Synthetic Cells. We lost a giant in Science. RIP. @JCVenterInst





The salary for my JRF @MuskanOsley employed for the CSIR project (37/1751/23-EMRII) is due from January 2024. UC/SoE submitted in April 2024. Not a single penny has been released. Please help as she might have to quit @CSIR_IND @HRDG_CSIR @shekhar_mande @DrJitendraSingh


Join me and my fellow researchers as we recount how the tiny zebrafish from India became biology’s most loved model organism. @Nature @NatureInd @IGIBSocial @CSIR_IND @NCBS_Bangalore @ccmb_csir nature.com/articles/d4415…






Applications open for a 2-week first-of-its kind mathematical oncology workshop in March 2024. Deadline: Dec 31. @ictstifr icts.res.in/program/MATHON… Plz RT @shaon_chak @SMBMathOnco @GibinPowathil @Rukmini_Vantage @bose_biplab @RamrayB @ShamikSen9 @Quasarzafar @lab_craig @artanumus


New in AI and protein design: @generate_biomed presents, Chroma, a generative AI model that creates novel proteins not previously found in nature with experimental validation in the lab. The code will be made open-source. My latest article for @GENbio: genengnews.com/topics/artific…

Overpublishing puts enormous stress on students and PIs. And brings tons of money to publishers in STEM. A new study shows that the number of papers is increasing FASTER than the number of #PhD graduates. It’s an amazing work with very useful statistics. Huge kudos to the authors! ▫️ Main outcomes: 1️⃣ In 2022 the number of articles is 47% higher than in 2016. The amount of writing, reviewing and editing workload per scientist is increased enormously. 2️⃣ “Special issues” is a strategy for publishing lots of papers with reduced review time. This is possible due to the “publish or perish” pressure and clearly benefits the publishers. 3️⃣ The publishing time varies widely! MDPI = 37 days. Frontiers = 72 days. Elsevier = 134 days. Springer = 157 days. Nature = 185 days. 4️⃣ The article rejection rates do not seem to correlate with publisher growth. However, rejection rates decline with increased use of special issue publishing. 5️⃣ Certain for-profit gold-open-access publishers create an increasing number of special issues, with uniquely reduced turnaround times, and in specific cases, high impact inflation and reduced rejection rates. 6️⃣ The authors suggest a new metric - Impact Inflation, which is reflected in self-citation within the same journal. For example, MDPI has a high impact inflation due to excessive self-citation compared to other publishers. Conclusions and my opinion: - Scientists have to spend a lot more time on reviewing and writing than before (on average). - The more papers are published, the more the quality is compromised. - Scientific progress has become partially bound to the business models of publishers and their revenue (a sad reality today). - There is a huge lack of transparency. Much of these data had to be ‘web-scraped’ from numerous sources in order to get a full picture. We clearly need regulators to mandate open access to publisher’s statistics. - Reduce the number of special issues! Those typically have low standards. ▫️ Science, publishing and funding make a trio that is very hard to disentangle. However, research quality is controlled by the community. This is why preprint + community review can make a big difference. #AcademicTwitter #AcademicChatter






