Semantic Scholar Review: Kya Yeh Google Scholar Se Behtar Papers Dhoondhta Hai?

Pura ka pura entered kiya gaya ek CRISPR draft ka sentence Semantic Scholar mein, iske search box mein moujood 238,539,980 papers mein se 0 se match hua. Google Scholar ne, wahi sentence diye jaane par, 2021 NEJM trial report ko first rank diya.

CRISPR transthyretin amyloidosis keywords tak cut down karne par, search ne Semantic Scholar mein bhi us trial ko top par rakh diya, aur trial ke page ne iske background, methods aur results citations ko alag-alag count kiya. Is test mein, Semantic Scholar ne keyword searching aur check karne ko reward kiya ki ek source ko kaise padha gaya hai, na ki claim enter karne aur uske source ko maangne ko.

<CTA title="Draft se bahar nikle bina paper search karein" description="Document ke andar se hi paper search karein, aur ek click mein in-text citation aur uske reference ko ek sath file karein" buttonLabel="Jenni Free Try Karein" link="https://app.jenni.ai/register" />

TLDR

Kya Semantic Scholar, Google Scholar se better hai papers dundhne ke liye?

Is test par toh nahi. Target ek paper tha, Gillmore et al. ka New England Journal of Medicine mein first-in-human NTLA-2001 trial ki 2021 ki report, aur dono engines mein wahi chaar searches kiye gaye aur results ko relevance ke hisab se sort kiya gaya.

• Pura trial sentence, enter kiya gaya - Semantic Scholar ne No Papers Found return kiya. Google Scholar ne lagbhag 254 results list kiye aur NEJM report ko 1st rank kiya.

• LNP CRISPR transthyretin - trial Semantic Scholar mein 454 mein se 15th rank par tha aur Google Scholar mein lagbhag 2,580 mein se 1st rank par.

• first in human CRISPR transthyretin trial - Semantic Scholar ne apne pehle 20 results mein trial nahi dikhaya. Google Scholar ne ise 5th rank kiya.

• CRISPR transthyretin amyloidosis - dono engines ne trial ko 1st rank kiya.

Toh Google Scholar ne yahan har search mein Semantic Scholar ko match kiya ya hara diya. Jahan Semantic Scholar aage nikla woh paper milne ke baad tha, is baare mein ki baad ke kaam ne ise kaise cite kiya hai.

<ProTip title="🔎 Keywords mein search karein, sentences mein nahi:" description="Claim ko method aur condition tak strip karein, jaise ki CRISPR transthyretin amyloidosis. Us teen-word ke search ne trial ko first rakha, jabki pure sentence ne kuch match nahi kiya" />

Semantic Scholar kya hai

Semantic Scholar research papers ke liye ek search engine hai Ai2 se, jise iska about page ek non-profit research institute batata hai. Wahi page ise scientific literature ke liye ek free AI-powered research tool kehta hai, aur test ke din iske search box ne 238,539,980 papers offer kiye the.

Chaar features search ke upar baithte hain aur ise ek plain index se alag banate hain:

• TLDR - results par dikhaya gaya ek short AI summary. Iska FAQ kehta hai ki yeh computer science aur biomedical papers ko cover karte hain.

• Citation types - citing papers ko background, methods aur results citations mein sort kiya gaya hai, highly influential ones ke count ke sath.

• Excerpts - sentence jo ek citing paper ne source ke baare mein likha, uske result ke niche dikhaya jata hai.

• Semantic Reader - kuch papers par offer kiya gaya ek PDF reader, jahan ek in-text citation cited paper ke baare mein ek card kholta hai.

Trial ke page par Save to Library aur Create Alert buttons bhi the. Is test ne dono ka use nahi kiya, kyunki dono account ko change karte hain.

Semantic Scholar kiske liye hai

Yeh research ke reading stage mein fit baithta hai, ek baar jab topic words pata chal jayein. Teen tarah ke readers iska sabse zyada fayda uthate hain:

• The PhD student mid-literature review - jise dekhna hai ki baad ki kaun si studies ek key paper ke results ko cite karti hain, na ki sirf yeh ki ise kitni baar cite kiya gaya.

• The researcher revising a manuscript - jo check karna chahta hai ki publication ke baad se ek cited trial ko kaise describe kiya gaya hai.

• The Masters student with a supervisor asking where a claim came from - jab tak ki search ko keywords ke roop mein phrase kiya jaye.

Yeh koi writing tool nahi hai. Yeh papers ko dundhta aur explain karta hai, aur citing abhi bhi kahin aur hoti hai.

The search test

Test claim CRISPR paragraph se aaya jo in tool reviews mein use kiya gaya tha: "The first in-human systemic trial of an LNP delivered CRISPR therapy reported a mean reduction in serum transthyretin of 87 percent at the higher dose after a single infusion."

The sentence, entered whole

Semantic Scholar ke search box mein type aur run karne par, sentence ek page wapas laya jiska head No Papers Found tha, line ke sath "Sorry, there are no results for" aur sentence repeat kiya gaya tha. Aakhiri full stop ko hatakar dobara run karne par bhi wahi page mila.

Semantic Scholar jab iske search box mein trial sentence enter kiya gaya tha

Google Scholar ne wahi sentence liya, full stop ke sath, aur lagbhag 254 results diye jisme NEJM report 1st rank par thi. Ek student jo draft se claim copy karke kaam karta hai, uske liye yeh gap sabse zyada matter karta hai.

Iske bajaye teen keywords

Search CRISPR transthyretin amyloidosis ne lagbhag 7,930 results diye, aur pehla result trial report thi, dated 26 June 2021, 1,239 citations aur author line ke niche ek TLDR ke sath.

CRISPR transthyretin amyloidosis ke liye pehla result, iske TLDR ke sath

Results ke upar filter bar Fields of Study, Date Range, Has PDF, Author, aur Journals & Conferences offer karta hai. Yahan kisi ki zaroorat nahi thi, kyunki trial pehle se hi first tha.

Wahi title ke sath dusra record

Us page par Result 10 par trial ka exact title, wahi journal aur date 28 October 2021 thi, iske apne 83 citations ke sath. Iska DOI ends NEJMc2114592, jise PubMed list karta hai trial ke baare mein letters ke liye authors ke 2-page reply ke roop mein, jabki trial report ends NEJMoa2107454.

Ek student jisne galat save kiya woh ek trial ke bajaye ek reply ko cite karega. Google Scholar ne trial ke title ke sath dusra record bhi list kiya, pure sentence ke result 4 par, toh check dono engines mein apply hota hai.

<ProTip title="🧾 Save karne se pehle DOIs ko compare karein:" description="Jab do results ka title same ho, dono ko kholein aur DOIs ko compare karein. Yahan trial NEJMoa2107454 par end hua aur reply to letters NEJMc2114592 par end hua" />

Jo yeh dikhata hai us par kitna trust karein

TLDR numbers chhod deta hai

Trial par TLDR padhta hai: "In a small group of patients with hereditary ATTR amyloidosis with polyneuropathy, administration of NTLA-2001 was associated with only mild adverse events and led to decreases in serum TTR protein concentrations through targeted knockout of TTR."

Yeh abstract ke conclusions ka sentence hai, word for word. Isme koi dose aur koi percentage nahi hai, isliye yeh draft mein 87% ko confirm nahi kar sakta.

Figures ek click door hain. Expand abstract ko kholta hai, jiska results section day 28 par 0.1 mg per kilogram par 52% aur 0.3 mg per kilogram par 87% deta hai, jo PubMed record se match karta hai.

<ProTip title="📑 Quote karne se pehle abstract kholein:" description="Is trial par TLDR ne outcome ka naam bataya lekin koi figure nahi diya. Expand par click karein aur abstract ke results section se koi bhi number lein" />

Engines ke beech citation counts differ karte hain

Semantic Scholar ne trial ke liye 1,239 citations dikhaye. Google Scholar ne usi shaam usi paper ke liye Cited by 2180 dikhaya.

Toh ek citation count ko usi engine ke sath quote karein jahan se yeh aaya hai, aur ise keval us engine ke dusre counts ke sath compare karein.

Cite button ko ek dusri look ki zaroorat hai

Cite dialog BibTeX, MLA, APA aur Chicago, plus BibTeX aur EndNote export offer karta hai. APA tab ne trial ke liye yeh produce kiya:

Trial ke liye Semantic Scholar Cite dialog ka APA tab

PubMed record ke samne, jo volume 385, issue 6, pages 493 se 502 deta hai, entry mein chaar problems hain:

• Koi volume, issue ya pages nahi - entry journal ke naam par hi end ho jati hai.

• No DOI - Purdue OWL note karta hai ki APA 7 mein ek DOI shamil hota hai jab ek available ho, aur is trial mein ek hai.

• Sabhi 26 authors listed hain - APA 7 pehle 19 ko list karta hai, fir ek ellipsis, fir last author, jaisa ki Purdue OWL aur guide to citing multiple authors in APA dono ne set out kiya hai.

• Journal capitalisation - journal padhta hai The New England journal of medicine.

MLA tab n. pag. ke sath end hua, jiska matlab hai koi page numbers nahi, ek paper ke liye jisme woh hain. BibTeX entry mein koi volume, pages ya DOI field nahi tha, aur isne apne url ko Semantic Scholar API ki taraf point kiya.

Usi paper ke liye Google Scholar ka APA version close tha, volume 385, issue 6 aur pages 493-502 ke sath. Isne 6 authors ko list kiya, fir last author se pehle ek ellipsis aur ek ampersand, aur isme bhi koi DOI nahi tha.

<ProTip title="🧩 PubMed ke sath reference check karein:" description="PubMed par paper kholein aur volume, issue, pages aur DOI ko entry mein copy karein. Cite dialog ne is trial ke liye in charon ko chhod diya" />

Jahan Semantic Scholar apni jagah banata hai

Type ke hisab se sort kiya gaya ek citation panel

Trial ka page total mein 1,239 citations dikhata hai aur unme se kuch ko type ke hisab se break down karta hai. Highly Influential Citations 55, Background Citations 209, Methods Citations 43 aur Results Citations 4 padhta hai.

Semantic Scholar mein trial page par citation panel

Google Scholar ne ek single Cited by count diya. Ek literature review ke liye, Results list un papers mein jaane ka ek quick tareeqa hai jo trial ke results ko cite karte hain.

Excerpts dikhate hain ki citing paper ne kya kaha

Citations ko Results Citations par filter karne se 4 papers bache, har ek Highly Influenced badge ke sath. Global Cardiology Science and Practice mein 2023 ke ek commentary par excerpts kholne par citing sentence hi dikha.

Ek citing paper aur iska excerpt, Cites results from labelled

Yeh padhta hai "Reductions in TTR levels over 90% in this trial were achieved with higher doses than those used in the previously reported polyneuropathy arm of the study 40 ; however, there were no significant adverse events." Yeh dikhata hai ki dono mein se kisi bhi paper ko kholne se pehle trial ka use kaise kiya ja raha hai, jo ek plain citation count nahi kar sakta.

<ProTip title="🧭 Citations ko Results ke hisab se filter karein:" description="Ek key paper par, Citation Type ko Results Citations par set karein, fir excerpts kholein. Har ek woh sentence dikhata hai jahan ek baad ka paper iske results ko cite karta hai" />

Reader ke andar citation cards

Trial report khud sirf nejm.org aur PubMed ke throw khuli, bina kisi reader link ke. 2023 ki commentary mein ek reader link tha aur yeh Semantic Reader mein khuli.

Semantic Reader mein citation 40 par click karne se cited trial ke liye ek card khul gaya

Iske citation number 40 par click karne se NEJM trial ke liye ek card khula jisme title, authors, journal, date aur TLDR tha, plus badges reading 1,239 aur 55, wahi figures jo trial ke citation aur highly influential counts the.

Semantic Scholar ki cost kya hai

Kuch nahi. Semantic Scholar ka koi paid plan nahi hai, aur iska FAQ ise ek free tool kehta hai, isliye iske liye case price ke bajaye is review ke tasks par rest karta hai.

October 2026 pricing, 4 October ko semanticscholar.org/faq aur jenni.ai/pricing se read kiya gaya.

Semantic Scholar alternatives ke samne

Google Scholar - is test par, ek claim enter karne aur uska source wapas paane ke liye better pick. Google Scholar guide iske search operators ko cover karta hai, jaise quotation marks aur OR.

Elicit - Elicit ne usi din Find papers request ke roop mein wahi pura sentence liya aur NEJM report ko 3-row table mein first rakha. Us run par, isne claim se source dundh liya jahan Semantic Scholar ne kuch return nahi kiya.

Jenni - yeh dusre end par kaam karta hai, draft mein. Iska Cite button cursor par ek paper search kholta hai, aur ek click in-text citation aur reference ko ek sath file karta hai.

1 October ko ek test mein, is same trial ke liye iske APA entry ne pehle 19 authors, ek ellipsis aur last author ko list kiya, fir volume 385, issue 6, pages 493 se 502 aur DOI.

Jab title ko us search mein type kiya gaya, toh Jenni ne NEJM report ke upar wahi title ke sath 2022 reprint ko rank kiya, toh DOI check wahan bhi apply hota hai.

Semantic Scholar mein paye gaye papers DOI ke throw, ya Zotero aur Mendeley import ke throw aa sakte hain. Jenni vs ChatGPT comparison ne ek chatbot ke khilaf ek similar find-the-trial test run kiya, aur guide to medical research databases list karta hai ki clinical work ke liye aur kahan search karna hai.

Kya aapko thesis ke liye Semantic Scholar use karna chahiye?

Haan, Google Scholar ke sath iska use karein na ki iski jagah par. Is test par Google Scholar ne claim ko iske source tak track kiya, aur Semantic Scholar ne dikhaya ki kisne trial ke results ko cite kiya aur unhone kya kaha.

Dono mein se kisi bhi Cite button se citation ko finished na maanein. DOI, volume aur pages ko PubMed record ke sath check karein, aur check karein ki source wahi kehta hai jo sentence claim karta hai, jise a real source behind a wrong claim explain karta hai.

<CTA title="Paper ko cite karein aur pura reference payein" description="Jenni ne is trial ko iske volume, issue, pages aur DOI ke sath file kiya, aur style picker 10,000 se zyada citation styles tak pahunchta hai" buttonLabel="Start Writing Free" link="https://app.jenni.ai/register" />

Writing ke liye khud, thesis ko draft karein Jenni mein, jahan citations aur reference list chapters ke sath same file mein baithte hain, aur Claim confidence published sources ke samne har claim ko review karta hai.