pubmed-fulltext-access
Full text access via Europe PMC, CORE, and other open access sources. Triggers: 全文, fulltext, PDF, open access, 免費下載, PMC, 開放取用
When & Why to Use This Skill
This Claude skill provides seamless access to full-text academic papers and research articles from major open-access repositories including Europe PMC, CORE, and PubMed Central. It empowers users to bypass manual searching by directly retrieving PDF links, extracting specific manuscript sections (like Methods or Results), and performing batch analysis on article accessibility. By integrating millions of Open Access (OA) sources, it significantly accelerates the literature review and data gathering process for researchers, students, and medical professionals.
Use Cases
- Case 1: Rapidly locating and downloading full-text PDF versions of scientific papers using PMIDs, DOIs, or titles to save time during literature searches.
- Case 2: Extracting specific data or sections such as 'Methods' or 'Results' from multiple open-access articles for meta-analysis or systematic reviews without reading the entire paper.
- Case 3: Performing batch accessibility checks on a large list of citations to identify which papers are freely available via Open Access versus those requiring institutional subscriptions.
- Case 4: Searching and retrieving the latest preprints from sources like bioRxiv and medRxiv via Europe PMC to stay updated on cutting-edge research before formal peer-reviewed publication.
| name | pubmed-fulltext-access |
|---|---|
| description | Full text access via Europe PMC, CORE, and other open access sources. Triggers: 全文, fulltext, PDF, open access, 免費下載, PMC, 開放取用 |
全文取得指南
描述
透過 Europe PMC、CORE 等開放取用來源取得論文全文,包含 PDF 連結和全文內容。
觸發條件
- 「我要看全文」
- 「有 PDF 嗎?」
- 「開放取用」、「免費下載」
- 「這篇有全文嗎?」
- 提到 PMC、open access
全文來源比較
| 來源 | 收錄量 | 特色 | 全文格式 |
|---|---|---|---|
| PubMed Central | 8M+ | 美國官方 OA 庫 | HTML, PDF |
| Europe PMC | 33M+ | 歐洲版,含預印本 | HTML, PDF, XML |
| CORE | 200M+ | 最大 OA 聚合器 | PDF, TXT |
| Semantic Scholar | 200M+ | AI 摘要、引用 | 連結為主 |
檢查全文可用性
單篇論文
get_article_fulltext_links(pmid="30217674")
回傳:
{
"pmid": "30217674",
"title": "Remimazolam versus midazolam...",
"access_type": "open_access",
"links": {
"pubmed": "https://pubmed.ncbi.nlm.nih.gov/30217674/",
"pmc": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6939411/",
"pmc_pdf": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6939411/pdf/",
"doi": "https://doi.org/10.1097/ALN.0000000000002435"
},
"full_text_available": true
}
批次分析
analyze_fulltext_access(pmids="30217674,28523456,35678901")
# 或使用上次搜尋結果
analyze_fulltext_access(pmids="last")
回傳:
{
"total": 50,
"statistics": {
"open_access": 23,
"subscription_required": 20,
"abstract_only": 7
},
"open_access_pmids": ["30217674", "35678901", "..."],
"subscription_required_pmids": ["28523456", "..."],
"abstract_only_pmids": ["..."]
}
Europe PMC 全文
搜尋(含預印本)
search_europe_pmc(
query="remimazolam sedation",
limit=20,
has_fulltext=True # 只找有全文的
)
取得全文內容
get_europe_pmc_fulltext(pmcid="PMC6939411")
回傳:
{
"pmcid": "PMC6939411",
"title": "Remimazolam versus midazolam...",
"sections": {
"abstract": "Background: ...",
"introduction": "Procedural sedation...",
"methods": "This was a multicenter...",
"results": "A total of 461 patients...",
"discussion": "This study demonstrates...",
"conclusions": "Remimazolam provided..."
},
"figures": [
{"id": "fig1", "caption": "Study flow diagram"},
{"id": "fig2", "caption": "Primary endpoint results"}
],
"tables": [
{"id": "table1", "caption": "Baseline characteristics"}
],
"references_count": 45
}
CORE 全文
搜尋開放取用
search_core(query="machine learning radiology", limit=30)
用標題找論文
find_in_core(title="Remimazolam versus midazolam for procedural sedation")
回傳:
{
"found": true,
"core_id": "12345678",
"title": "Remimazolam versus midazolam...",
"download_url": "https://core.ac.uk/download/pdf/12345678.pdf",
"fulltext_available": true
}
取得全文
get_core_fulltext(core_id="12345678")
回傳:
{
"core_id": "12345678",
"title": "...",
"fulltext": "Full text content here...",
"fulltext_length": 45678,
"language": "en"
}
全文搜尋
CORE 全文搜尋
search_core_fulltext(
query="remimazolam hemodynamic stability",
limit=20
)
這會搜尋論文的全文內容,不只是標題和摘要!
回傳:
{
"results": [
{
"core_id": "12345678",
"title": "...",
"snippet": "...remimazolam showed better hemodynamic stability compared to...",
"relevance_score": 0.89
}
]
}
全文取得策略
策略 1:快速查詢 PMC
# 最簡單,如果有 PMC 版本
links = get_article_fulltext_links(pmid="30217674")
if links["links"]["pmc"]:
fulltext = get_europe_pmc_fulltext(pmcid=links["links"]["pmc_id"])
策略 2:多來源搜尋
# 先查 Europe PMC
epmc = search_europe_pmc(query="remimazolam", has_fulltext=True)
# 再查 CORE
core = search_core(query="remimazolam")
# 合併結果
策略 3:標題匹配
# 有標題但不確定來源
result = find_in_core(title="Remimazolam versus midazolam for procedural sedation")
if result["found"]:
fulltext = get_core_fulltext(core_id=result["core_id"])
完整工作流程
情境:搜尋並取得全文
# Step 1: PubMed 搜尋
results = search_literature(query="remimazolam RCT", limit=30)
pmids = [a["pmid"] for a in results["articles"]]
# Step 2: 分析全文可用性
access = analyze_fulltext_access(pmids=",".join(pmids))
# Step 3: 優先處理 Open Access
for pmid in access["open_access_pmids"]:
links = get_article_fulltext_links(pmid=pmid)
if links["links"]["pmc"]:
fulltext = get_europe_pmc_fulltext(pmcid=links["links"]["pmc_id"])
# 處理全文...
# Step 4: 嘗試 CORE 找其他
for pmid in access["subscription_required_pmids"]:
details = fetch_article_details(pmids=pmid)
title = details["articles"][0]["title"]
core_result = find_in_core(title=title)
if core_result["found"]:
fulltext = get_core_fulltext(core_id=core_result["core_id"])
處理全文內容
提取特定段落
fulltext = get_europe_pmc_fulltext(pmcid="PMC6939411")
# 只看方法
print(fulltext["sections"]["methods"])
# 只看結果
print(fulltext["sections"]["results"])
搜尋全文中的關鍵詞
# CORE 支援全文搜尋
results = search_core_fulltext(query="adverse events remimazolam")
# 回傳包含 snippet 顯示匹配位置
全文來源對照表
| PMID | PMC | Europe PMC | CORE | Semantic Scholar |
|---|---|---|---|---|
| 30217674 | PMC6939411 | ✅ | ✅ | ✅ |
| 28523456 | ❌ | ✅ (preprint) | ✅ | ✅ |
| 35678901 | ❌ | ❌ | ❌ | ⚠️ (link only) |
取得策略:
- 有 PMC →
get_europe_pmc_fulltext(pmcid="...") - 無 PMC →
find_in_core(title="...")→get_core_fulltext(...) - 都沒有 → 只能用摘要或聯繫圖書館
預印本處理
Europe PMC 含預印本
search_europe_pmc(
query="COVID-19 vaccine",
source="preprint", # 只搜預印本
limit=30
)
預印本來源:
- bioRxiv
- medRxiv
- arXiv (部分)
小技巧
1. 判斷是否有全文
# 快速檢查
links = get_article_fulltext_links(pmid="30217674")
has_fulltext = links["full_text_available"]
2. 批次處理
# 搜尋後直接分析
results = search_literature(query="...", limit=50)
access = analyze_fulltext_access(pmids="last") # 使用上次搜尋結果
3. DOI 優先
# 有些新論文可能 PMC 還沒收錄
# 但 DOI 可以連到出版社頁面(可能需訂閱)
links = get_article_fulltext_links(pmid="35678901")
print(links["links"]["doi"]) # https://doi.org/10.xxxx/xxxxx
4. 引用格式
如果取得全文,記得正確引用:
# 匯出引用格式
prepare_export(pmids="30217674", format="ris")