如何编写 Python 代码从 PubMed 下载摘要？

发布于 2025-01-17 05:43:57 字数 305 浏览 1 评论 0原文

这是我现在拥有的代码，我尝试了多种不同的方法来获取正确的代码，但无济于事。

我为此使用 Biopython 模块。

from Bio.Entrez import efetch

def print_abstract(pmid):
    handle = efetch(db='pubmed', id=pmid, retmode='text', rettype='abstract')
    print handle.read()

我尝试了上面列出的代码以及此处和那里的一些调整，但似乎没有任何内容适用于简单的查询。

原文

This is the code I have as of now and I have tried multiple different ways to get the correct code but to no avail.

I am using the Biopython module for this.

from Bio.Entrez import efetch

def print_abstract(pmid):
    handle = efetch(db='pubmed', id=pmid, retmode='text', rettype='abstract')
    print handle.read()

I tried the code as listed above along with a few tweaks here and there but nothing seems to be working for a simple query.

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自在安然 2025-01-24 05:43:57

第 1 步：使用 python3 时，请按如下方式使用 print()：

from Bio.Entrez import efetch
 
def print_abstract(pmid):
    handle = efetch(db='pubmed', id=pmid, retmode='text', rettype='abstract')
    print(handle.read())

第 2 步：要使用 NCBI 的电子实用程序，NCBI 要求您在每个请求中指定您的电子邮件地址。因此，指定任何电子邮件（不必是真实的），如下所示：

from Bio import Entrez                                                                                                                                                                                          
Entrez.email = '[email protected]'

步骤 3：现在您可以以编程方式检索摘要，例如通过运行

print_abstract(35312860)

这给了我：

1. Acta Diabetol. 2022 Mar 21. doi: 10.1007/s00592-022-01878-z. [Epub ahead of 
print]                                                                                                   
                                                                                                         
Significant and persistent improvements in time in range and positive emotions in
children and adolescents with type 1 diabetes using a closed-loop control system 
after attending a virtual educational camp.                                                              
...
OBJECTIVE: To evaluate the six-month impact of the advanced automated functions...

Step 1: When using python3, use print() as such:

from Bio.Entrez import efetch
 
def print_abstract(pmid):
    handle = efetch(db='pubmed', id=pmid, retmode='text', rettype='abstract')
    print(handle.read())

Step 2: To make use of NCBI's E-utilities, NCBI requires you to specify your email address with each request. So, specify any email (it doesn't have to be real) as follows:

from Bio import Entrez                                                                                                                                                                                          
Entrez.email = '[email protected]'

Step 3: Now you can retrieve an abstract programmatically, for example by running

print_abstract(35312860)

This gives me:

1. Acta Diabetol. 2022 Mar 21. doi: 10.1007/s00592-022-01878-z. [Epub ahead of 
print]                                                                                                   
                                                                                                         
Significant and persistent improvements in time in range and positive emotions in
children and adolescents with type 1 diabetes using a closed-loop control system 
after attending a virtual educational camp.                                                              
...
OBJECTIVE: To evaluate the six-month impact of the advanced automated functions...

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