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Inside the app

Everything JClub does, drawn the way it looks in the app — the controls that shape your feed, the alerts that find you, and the rails that surface what the feed would miss.

Every control, in plain sight.

JClub personalises on three things you set yourself — the interests you name, the papers you’ve published, and the journals and people you follow. Here they are, with the controls around them, drawn the way they look in the app.

Ranked by what you publish, not just what you tap

Home is ranked inside the journals you track by the interests you name and, once you’ve connected ORCID, by your own publication record. Signed in, it also learns quietly from what you save, open and skip. One switch decides the balance.

Example

Personalize Home by

Choose what shapes your Home feed. Publications only apply once you’ve connected your author profile.

Papers that match you always come before the rest, whichever mode you pick.

Illustration built from the app’s own labels — the controls here are a preview.

Interests rank. Keywords filter.

Name three or more interests and they shape Home, the Discover rails, News for you, search shortcuts and your digest — matched on topics, not just the literal word. Keyword filters are the strict cousin: only papers containing that exact term, DOI or trial ID reach the deck.

Example
Illustration built from the app’s own labels — the controls here are a preview.

Every alert says which paper, why you, why now

Up to five alert keywords are checked against every new title and abstract — real-time, hourly or daily. Add citation alerts for your own papers and for any paper you follow, a push when a followed author publishes, and a note if a saved paper is retracted or a preprint you follow is published. Usually within a few hours of a paper appearing online.

Illustration built from the app’s own labels — the controls here are a preview.

One push a week with the papers that matched you

The weekly digest leads with any new citations to your work — otherwise with your top interest — then your strongest match, its one-line finding and journal, with the rest a tap away. It holds one to five papers and skips a week rather than pad one. A daily digest is there if you want it.

Get a daily summary of new papers.

Get a weekly summary of top papers.

Illustration built from the app’s own labels — the controls here are a preview.

Follow journals, authors, papers — and your institution

Star a journal and its newest papers become stories at the top of Discover. Follow an author for a rail of their newest work and a push when they publish — for profiles JClub can verify. Follow a paper to be told when it’s cited. Claim your institution for its newest papers in Discover.

Example
  • All
  • First
  • Co-first
  • Senior
  • Corresponding

Read an author’s record by role.

Illustration built from the app’s own labels — the controls here are a preview.

Reading, the way you want it

Prefer papers with abstracts? One switch hides the rest. Motion is optional, so is the summary highlighting, and the daily science brief is one switch — on iOS it may start as a quiet trial you can turn off. No permission dialog at launch, only when you switch something on. Your library has its own switch once you’ve set it up — where your library is on LibKey, JClub checks what your library lists before it says Full text — with an advanced field for a custom proxy.

Example

App

Turn this off to keep abstract-missing articles out of the feed.

Disable swipe animations in the feed.

Mark the summary’s headline with a blue rail. Also toggleable on each card.

One notification each morning with the day’s biggest science stories. Works signed out.

Your library

Your library is on LibKey: JClub checks each article against what your library lists, so a “Full text” label means your library lists it. You sign in on your library’s own page — JClub never sees your password.

Custom proxy URL (advanced)The same setting Zotero uses.
Not set

Defaults shown — on iOS the science brief may start as a quiet trial; the switches here are a preview.

Illustration built from the app’s own labels — the controls here are a preview.

News, grants, meetings and jobs — each with a reason

A one-paragraph morning read on the day’s biggest science stories, research news with our own brief and a link out, funding calls sorted by what closes next, meetings soonest-first by region, and research jobs with closing dates up front. Every For You rail says why: “Because you follow …”.

Illustration built from the app’s own labels — the controls here are a preview.

An editorial layer over your fields.

Home is what’s new in the journals you track, ranked for you. Discover is what that feed would miss — one question per rail, named in the title.

Methods

Technique-heavy papers worth scanning when you need a methods refresh.

See these 8 papers
  1. Interactive Tree of Life (iTOL) v6: recent updates to the phylogenetic tree display and annotation tool — NAR, 4/2024, Ivica Letunic et al. · 5,430 cites
  2. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods — BMJ, 4/2024, Gary S Collins et al. · 5,347 cites
  3. TBtools-II: A “one for all, all for one” bioinformatics platform for biological big-data mining — Mol Plant, 11/2023, Chengjie Chen et al. · 4,245 cites
  4. YaHS: yet another Hi-C scaffolding tool — Bioinformatics, 12/2022, Chenxi Zhou et al. · 2,668 cites
  5. MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation — NAR, 4/2024, Zhiqiang Pang et al. · 2,611 cites
  6. TimeTree 5: An Expanded Resource for Species Divergence Times — MBE, 8/2022, Sudhir Kumar et al. · 1,658 cites
  7. Methods and applications for single-cell and spatial multi-omics — Nat Rev Genet, 3/2023, Katy Vandereyken et al. · 1,317 cites
  8. PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods — BMJ, 3/2025, Karel G M Moons et al. · 1,283 cites

High impact

Papers punching above field average by normalized citation impact (FWCI).

See these 8 papers
  1. DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning — Nature, 9/2025, Daya Guo et al. · 1,471 cites
  2. 2025 ESC/EACTS Guidelines for the management of valvular heart disease — EHJ, 8/2025, Fabien Praz et al. · 1,335 cites
  3. The WHO Bacterial Priority Pathogens List 2024: a prioritisation study to guide research, development, and public health strategies against antimicrobial resistance — Lancet Infect Dis, 9/2025, Hatim Sati et al. · 1,038 cites
  4. Global, Regional, and National Burden of Cardiovascular Diseases and Risk Factors in 204 Countries and Territories, 1990-2023 — JACC, 12/2025, Benjamin A. Stark et al. · 832 cites
  5. 2025 Focused Update of the 2019 ESC/EAS Guidelines for the management of dyslipidaemias — EHJ, 8/2025, François Mach et al. · 763 cites
  6. 11th edition of the IDF Diabetes Atlas: global, regional, and national diabetes prevalence estimates for 2024 and projections for 2050 — Lancet Diabetes Endocrinol, 2/2026, Irini Genitsaridi et al. · 669 cites
  7. Global burden of 292 causes of death in 204 countries and territories and 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023 — Lancet, 10/2025, Mohsen Naghavi et al. · 665 cites
  8. Diagnosis of multiple sclerosis: 2024 revisions of the McDonald criteria — Lancet Neurol, 10/2025, Xavier Montalban et al. · 563 cites

Foundational

Long-horizon papers that still define the conversation. Filter by 1, 5, 10, or 20 years.

See these 8 papers
  1. Global, Regional, and National Burden of Cardiovascular Diseases and Risk Factors in 204 Countries and Territories, 1990-2023 — JACC, 12/2025, Benjamin A. Stark et al. · 832 cites
  2. 11th edition of the IDF Diabetes Atlas: global, regional, and national diabetes prevalence estimates for 2024 and projections for 2050 — Lancet Diabetes Endocrinol, 2/2026, Irini Genitsaridi et al. · 669 cites
  3. 2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes—2026 — Diabetes Care, 12/2025, Mandeep Bajaj et al. · 561 cites
  4. Advancing regulatory variant effect prediction with AlphaGenome — Nature, 1/2026, Žiga Avsec et al. · 450 cites
  5. Polyendocrine metabolic ovarian syndrome, the new name for polycystic ovary syndrome: a multistep global consensus process — Lancet, 6/2026, Helena J Teede et al. · 428 cites
  6. 2026 ACC/AHA/AACVPR/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Dyslipidemia — JACC, 5/2026, Roger S. Blumenthal et al. · 403 cites
  7. 2026 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association — Circulation, 3/2026, Latha P. Palaniappan et al. · 319 cites
  8. Hallmarks of cancer—Then and now, and beyond — Cell, 4/2026, Douglas Hanahan · 319 cites
See these 8 papers
  1. Accurate structure prediction of biomolecular interactions with AlphaFold 3 — Nature, 5/2024, Josh Abramson et al. · 18,501 cites
  2. Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis — Lancet, 2/2022, Christopher J L Murray et al. · 15,341 cites
  3. The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest — NAR, 11/2022, Damian Szklarczyk et al. · 10,481 cites
  4. Hallmarks of Cancer: New Dimensions — Cancer Discov, 1/2022, Douglas Hanahan · 9,896 cites
  5. ColabFold: making protein folding accessible to all — Nat Methods, 5/2022, Milot Mirdita et al. · 9,855 cites
  6. AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models — NAR, 11/2021, Mihaly Varadi et al. · 8,430 cites
  7. Hallmarks of aging: An expanding universe — Cell, 1/2023, Carlos López-Otín et al. · 7,030 cites
  8. Dictionary learning for integrative, multimodal and scalable single-cell analysis — Nat Biotechnol, 5/2023, Yuhan Hao et al. · 6,498 cites
See these 8 papers
  1. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews — BMJ, 3/2021, Matthew J Page et al. · 98,932 cites
  2. Highly accurate protein structure prediction with AlphaFold — Nature, 7/2021, John Jumper et al. · 47,292 cites
  3. PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation — Ann Intern Med, 10/2018, Andrea C. Tricco et al. · 40,822 cites
  4. SciPy 1.0: fundamental algorithms for scientific computing in Python — Nat Methods, 2/2020, Pauli Virtanen et al. · 40,311 cites
  5. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China — Lancet, 2/2020, Chaolin Huang et al. · 36,991 cites
  6. MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms — MBE, 5/2018, Sudhir Kumar et al. · 34,787 cites
  7. fastp: an ultra-fast all-in-one FASTQ preprocessor — Bioinformatics, 9/2018, Shifu Chen et al. · 30,487 cites
  8. RoB 2: a revised tool for assessing risk of bias in randomised trials — BMJ, 8/2019, Jonathan A C Sterne et al. · 28,747 cites
See these 8 papers
  1. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews — BMJ, 3/2021, Matthew J Page et al. · 98,932 cites
  2. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 — Genome Biol, 12/2014, Michael I Love et al. · 94,596 cites
  3. Fiji: an open-source platform for biological-image analysis — Nat Methods, 6/2012, Johannes Schindelin et al. · 71,060 cites
  4. Trimmomatic: a flexible trimmer for Illumina sequence data — Bioinformatics, 4/2014, Anthony M. Bolger et al. · 64,912 cites
  5. NIH Image to ImageJ: 25 years of image analysis — Nat Methods, 6/2012, Caroline A Schneider et al. · 63,614 cites
  6. The Sequence Alignment/Map format and SAMtools — Bioinformatics, 6/2009, Heng Li et al. · 61,871 cites
  7. Hallmarks of Cancer: The Next Generation — Cell, 3/2011, Douglas Hanahan et al. · 59,472 cites
  8. Highly accurate protein structure prediction with AlphaFold — Nature, 7/2021, John Jumper et al. · 47,292 cites

A one-year window has few true classics, so the app tops it up from High impact, Rising and New — this list does the same.

Every rail in the app
For you
Papers matched to what you read and publish. (signed in)
In your interests
One rail per interest: the newest papers in it from the last 30–180 days.
New from authors you follow
The latest work from researchers you follow.
From your institution
The newest papers affiliated with your institution.
Starred journals
Fresh and high-signal picks from journals you starred.
Rising
Fast-moving papers gaining unusually strong recent attention.
Methods
Technique-heavy papers worth scanning when you need a methods refresh. — shown above
New
The newest additions, biased toward recency rather than signal.
Preprints
Early signals from bioRxiv and medRxiv before formal publication.
Open access
Open papers you can read immediately without leaving the thread cold.
High impact
Papers punching above field average by normalized citation impact (FWCI). — shown above
Foundational
Long-horizon papers that still define the conversation. Filter by 1, 5, 10, or 20 years. — shown above

On this page the rails glide so you can see more of them. In the app you scroll each rail yourself and page it ten cards at a time.

Real papers from the app’s Discover rails, a snapshot taken 13 November 2026 · citation counts via Crossref · field percentiles via OpenAlex · titles link to doi.org. In the app the rails refresh hourly and rotate daily.

Try it on your own journals.

Free on the App Store and Google Play, and it works without an account. Questions? →

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