Papermill Text Comparison API

Papermill Text Comparison API

The Papermill Text Comparison API is a tool that identifies similarities between papers and past products. While it can alert users to potential cases of misconduct, its output should not be considered evidence. Instead, it serves as a useful tool for identifying possible instances of plagiarism or other forms of misconduct.

API description

About the API:

The Papermill Text Comparison API is a tool designed to help detect cases of potential misconduct in academic publishing. It compares papers submitted to a database of previously submitted papers, known as "papermill-products," to identify similarities and alert users to possible instances of plagiarism or other forms of misconduct.

One important note is that the output of this API should not be considered evidence of misconduct. Instead, it serves as a helpful tool to flag potential issues that require further investigation.

The API takes article metadata as input and classifies articles into three categories: red, orange, and green. A "red" classification means that the query article is highly similar to past papermill-papers, while an "orange" classification indicates that there is some degree of similarity. A "green" classification means that no similar past papermill-papers are known.

The Papermill Text Comparison API can be used by academic publishers, universities, and other organizations to help ensure the integrity of their research publications. By identifying potential instances of misconduct early on, the API can help prevent issues such as plagiarism from going unnoticed.

It is worth noting that the API should be used as one tool in a broader suite of measures to ensure the integrity of academic publications. While the API can help detect potential issues, it cannot replace the need for thorough peer review and other forms of quality control.

Overall, the Papermill Text Comparison API is a valuable tool for academic publishers, researchers, and other stakeholders in the academic community. By providing alerts for potentially problematic submissions, the API can help ensure the integrity and quality of research publications.

 

What this API receives and what your API provides (input/output)?

Pass any text that you want to analyze.

The Papermill Text Comparison API takes article metadata as input and classifies articles into ‘red’, ‘orange’, and ‘green’.

‘red’ means that there are past papermill papers that are highly similar to the query article.
‘orange’ means that there are past papermill papers that are a little bit similar.
‘green’ means that no similar past papermill papers are known. 

 

What are the most common uses cases of this API?

  1. Academic Publishers: Academic publishers can use the Papermill Text Comparison API to check for similarities between submitted papers and previously published works in their database. The API can help publishers identify cases of plagiarism and other forms of misconduct.

  2. Universities: Universities can use the API to check for similarities between student papers and past submissions in their own databases, as well as in external databases such as the ones used by academic publishers.

  3. Research Institutes: Research institutes can use the API to check for similarities between research proposals and previously published works. This can help ensure that research proposals are original and not simply a repetition of previously published work.

  4. Journal Editors: Journal editors can use the API to check for similarities between submitted papers and previously published works in their journals. This can help ensure that the journal publishes only original research.

  5. Research Funders: Research funders can use the API to check for similarities between research proposals and previously published works. This can help ensure that grant funds are not used to repeat previously published work and that grant funds are used for original research.

 

Are there any limitations to your plans?

Besides API call limitations per month, there is a limitation of:

- 10 requests per day on the Basic Plan.

API Documentation

Endpoints


The Papermill Text Comparison API is a system that alerts you when a paper is similar to past papermill products. As such, the output of this API should not be considered to be ‘evidence’ of misconduct. Instead, the output is alerted that can help you to find cases of misconduct.

The PTC takes article metadata as input and classifies articles into ‘red’, ‘orange’, and ‘green’.

‘red’ means that there are past papermill papers that are highly similar to the query article.
‘orange’ means that there are past papermill papers that are a little bit similar.
‘green’ means that no similar past papermill papers are known.

The purpose of this method is only to show the likelihood of a paper coming from a papermill and it is currently limited to cases in biomedical science where papermills have already produced large numbers of similar papers.



                                                                            
POST https://zylalabs.com/api/1915/papermill+text+comparison+api/1621/document+posting
                                                                            
                                                                        

Document Posting - Endpoint Features
Object Description
Request Body [Required] Json
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            "{\"message\": [{\"id\": \"retracted_article_id2\", \"title\": \"Silencing circANKRD36 protects H9c2 cells against lipopolysaccharide-induced injury via up-regulating miR-138\", \"abstract\": \"Background: Myocarditis refers to the inflammatory process that affects the muscle tissue of the heart. Persistent myocardial inflammation promotes myocardial cell damage, which ultimately leads to heart failure or death. Therefore, we aimed to explore the functional impacts of circANKRD36 on myocarditis. Methods: H9c2 cells were pre-treated with lipopolysaccharide (LPS). Viability and apoptosis were evaluated utilizing CCK-8 assay and flow cytometry. Inflammatory cytokines mRNA expression and production were assessed by qRT-PCR and ELISA. Western blot was utilized to distinguish apoptosis and inflammatory related factors expression. Sequentially, the above mentioned parameters were reassessed when overexpressed miR-138. Results: LPS declined viability and as well as raised apoptosis and inflammatory injury in H9c2 cells. Silencing circular RNA ANKRD36 (si-circANKRD36) alleviated apoptosis and inflammatory injury induced by LPS. MiR-138 expression was suppressed by LPS and elevated by si-circANKRD36. Increase of viability and inflammatory injury induced by si-circANKRD36 was alleviated by down-regulation of miR-138. Eventually, si-circANKRD36 inhibited p38MAPK/NF-\\u03baB pathway which activated by LPS via up-regulating miR-138. Conclusion: Si-circANKRD36 exerted its anti-apoptosis and anti-inflammatory function under the condition of LPS in H9c2 cells through p38MAPK/NF-\\u03baB pathway and up-regulation of miR-138.\", \"message\": {\"status\": \"red\", \"message\": \"This article is highly similar to other papers which are believed to have originated from paper-mills. This does not necessarily mean that this paper originated in a paper-mill. We recommend taking special care to check that this paper meets your criteria for consideration before peer-review.\"}}], \"status_code\": 200}"
                                                                                                                                                                                                                    
                                                                                                    

Document Posting - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/1915/papermill+text+comparison+api/1621/document+posting' --header 'Authorization: Bearer YOUR_API_KEY' 

    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Papermill Text Comparison API REST API, simply include your bearer token in the Authorization header.

Headers

Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.


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