CSIR-IGIB ✓

@IGIBSocial · Delhi, India · joined 19 Jun 2015

CSIR-Institute of Genomics & Integrative Biology (IGIB) is a premier Institute engaged in research area of genomics, molecular medicine, bioinformatics etc

19 159Followers

282Following

3 964Posts total

8.1KViews on collected posts

Ultimi post

CSIR-IGIB ✓@IGIBSocial10 Sep

Heartiest congratulations to Dr. Shantanu Sengupta on being elected as a Fellow of the Indian National Science Academy (INSA)! A proud moment for CSIR-IGIB and the entire scientific community. 👏🔬 @ShantanuSengu14 @insa_academy @SouvikM29933298 @IGIBSocial @CSIR_IND https://t.co

1.3K views · 52 likes · 5 reposts · 3 replies Open on X →

CSIR-IGIB ✓@IGIBSocial7 Sep

@IGIBSocial An important distinction: stool is not the entire gastrointestinal tract. The mouth, stomach, duodenum, small intestine and colon are different ecological territories. Site-specific sampling may reveal signals that disappear when we treat the digestive system as one u 19 views · 0 likes · 0 reposts · 0 replies Open on X →

CSIR-IGIB ✓@IGIBSocial7 Sep

@IGIBSocial The compartment-specific signal is intriguing—did the model trained on duodenal samples actually outperform saliva/stool after controlling for site-specific batch effects and medication use? I’m digging into related studies with Sci-Quest: https://t.co/AMUYFvZ8PU 33 views · 0 likes · 0 reposts · 0 replies Open on X →

CSIR-IGIB ✓@IGIBSocial7 Sep

📢📢📢New publication alert! A new study examined the gut microbiome in 121 dyspeptic patients across saliva, duodenal mucosa, and stool (246 samples). The findings support using site-specific microbiome signatures and machine-learning models from duodenal, salivary, and stool http

1.8K views · 27 likes · 6 reposts · 2 replies Open on X →

CSIR-IGIB ✓@IGIBSocial30 Aug

In August 2026, CSIR-IGIB hosted an advanced Proteomics Workshop under the leadership of Dr. Swarnendu Bag and Dr. Shantanu Sengupta. The program delivered an intensive curriculum integrating expert-led lectures with practical, hands-on training covering basic principles, https:/

1.6K views · 25 likes · 5 reposts · 2 replies Open on X →

CSIR-IGIB ✓@IGIBSocial28 Aug

Thukral and group at @IGIBSocial have shown in a recent publication that autophagy can be altered. Using simulations and experiments they show that lipid binding allosterically modulates the protein which in turn can be leveraged to tune the protein activity. The work has https:

1.3K views · 54 likes · 6 reposts · 0 replies Open on X →

CSIR-IGIB ✓@IGIBSocial24 Aug

@IGIBSocial @VirenIGIB @ANRFIndia @SouvikM29933298 @CSIR_IND @DrNKalaiselvi Many Congratulations! 52 views · 0 likes · 0 reposts · 0 replies Open on X →

CSIR-IGIB ✓@IGIBSocial24 Aug

Warm congratulations to @VirenIGIB on securing a grant among the 35 high-impact projects selected under the Mission AI for Science and Engineering (AI-SE) from @ANRFIndia. @SouvikM29933298 @VirenIGIB @CSIR_IND @DrNKalaiselvi https://t.co/GwK1mqJ2ap

1.9K views · 29 likes · 2 reposts · 1 replies Open on X →

Rispetto ad account della stessa dimensione

8 post degli ultimi 90 giorni, accanto alla fascia di 10K–100K follower. arriva a più persone rispetto ad account della stessa dimensione.

Visualizzazioni mediane1 298questo account924mediana per 10K–100K

Copertura, %6.77%questo account3.62%mediana per 10K–100K

Interazione, %1.79%questo account1.52%mediana per 10K–100K

Metrica	Questo account	Mediana per 10K–100K	Rapporto
Visualizzazioni mediane per post	1 298	924	1.40×
Copertura (visualizzazioni ÷ follower)	6.77%	3.62%	1.87×
Tasso di interazione	1.79%	1.52%	1.18×

Altri account di questa fascia → Confronta con un altro account → Come sono costruiti questi parametri →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

1.9K24 Aug

1.3K28 Aug

1.6K30 Aug

1.8K7 Sep

1.3K10 Sep

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.69%24 Aug

0.00%

4.62%28 Aug

1.98%30 Aug

1.90%7 Sep

0.00%

4.78%10 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes83.5%187 in total

Reposts10.7%24 in total

Replies3.6%8 in total

Quotes0.9%2 in total

Bookmarks1.3%3 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Ultimi post

Rispetto ad account della stessa dimensione

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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