Struct PubMedArticle 

pub struct PubMedArticle {

    pub pmid: String,
    pub title: String,
    pub authors: Vec<Author>,
    pub author_count: u32,
    pub journal: String,
    pub pub_date: String,
    pub doi: Option<String>,
    pub pmc_id: Option<String>,
    pub abstract_text: Option<String>,
    pub structured_abstract: Option<Vec<AbstractSection>>,
    pub article_types: Vec<String>,
    pub mesh_headings: Option<Vec<MeshHeading>>,
    pub keywords: Option<Vec<String>>,
    pub chemical_list: Option<Vec<ChemicalConcept>>,
    pub volume: Option<String>,
    pub issue: Option<String>,
    pub pages: Option<String>,
    pub language: Option<String>,
    pub journal_abbreviation: Option<String>,
    pub issn: Option<String>,
}

Represents a PubMed article with metadata

Fields

pmid: String

PubMed ID

title: String

Article title

authors: Vec<Author>

List of authors with detailed metadata

author_count: u32

Number of authors (computed from authors list)

journal: String

Journal name

pub_date: String

Publication date

doi: Option<String>

DOI (Digital Object Identifier)

pmc_id: Option<String>

PMC ID if available (with PMC prefix, e.g., “PMC7092803”)

abstract_text: Option<String>

Abstract text (if available)

structured_abstract: Option<Vec<AbstractSection>>

Structured abstract sections with labels (if available)

Some PubMed articles have structured abstracts with labeled sections like “BACKGROUND”, “METHODS”, “RESULTS”, “CONCLUSIONS”. When available, this field contains each section separately. The abstract_text field still contains the full concatenated text.

article_types: Vec<String>

Article types (e.g., “Clinical Trial”, “Review”, etc.)

mesh_headings: Option<Vec<MeshHeading>>

MeSH headings associated with the article

keywords: Option<Vec<String>>

Author-provided keywords

chemical_list: Option<Vec<ChemicalConcept>>

Chemical substances mentioned in the article

volume: Option<String>

Journal volume (e.g., “88”)

issue: Option<String>

Journal issue number (e.g., “3”)

pages: Option<String>

Page range (e.g., “123-130”)

language: Option<String>

Article language (e.g., “eng”, “jpn”)

journal_abbreviation: Option<String>

ISO journal abbreviation (e.g., “J Biol Chem”)

issn: Option<String>

ISSN (International Standard Serial Number)

Implementations

impl PubMedArticle

pub fn get_major_mesh_terms(&self) -> Vec<String>

Get all major MeSH terms from the article

Returns

A vector of major MeSH term names

Example

let major_terms = article.get_major_mesh_terms();

pub fn has_mesh_term(&self, term: &str) -> bool

Check if the article has a specific MeSH term

Arguments

• term - The MeSH term to check for

Returns

true if the article has the specified MeSH term, false otherwise

Example

let has_diabetes = article.has_mesh_term("Diabetes Mellitus");

pub fn get_all_mesh_terms(&self) -> Vec<String>

Get all MeSH terms from the article

Returns

A vector of all MeSH term names

pub fn get_corresponding_authors(&self) -> Vec<&Author>

Get corresponding authors from the article

Returns

A vector of references to authors marked as corresponding

pub fn get_authors_by_institution(&self, institution: &str) -> Vec<&Author>

Get authors affiliated with a specific institution

Arguments

• institution - Institution name to search for (case-insensitive substring match)

Returns

A vector of references to authors with matching affiliations

pub fn get_author_countries(&self) -> Vec<String>

Get all unique countries from author affiliations

Returns

A vector of unique country names

pub fn get_authors_with_orcid(&self) -> Vec<&Author>

Get authors with ORCID identifiers

Returns

A vector of references to authors who have ORCID IDs

pub fn has_international_collaboration(&self) -> bool

Check if the article has international collaboration

Returns

true if authors are from multiple countries

pub fn mesh_term_similarity(&self, other: &PubMedArticle) -> f64

Calculate MeSH term similarity between two articles

Arguments

• other - The other article to compare with

Returns

A similarity score between 0.0 and 1.0 based on Jaccard similarity

Example

let similarity = article1.mesh_term_similarity(&article2);

pub fn get_mesh_qualifiers(&self, term: &str) -> Vec<String>

Get MeSH qualifiers for a specific term

Arguments

• term - The MeSH term to get qualifiers for

Returns

A vector of qualifier names for the specified term

pub fn has_mesh_terms(&self) -> bool

Check if the article has any MeSH terms

Returns

true if the article has MeSH terms, false otherwise

pub fn get_chemical_names(&self) -> Vec<String>

Get chemicals mentioned in the article

Returns

A vector of chemical names

Trait Implementations

impl Clone for PubMedArticle

fn clone(&self) -> PubMedArticle

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for PubMedArticle

fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for PubMedArticle

fn deserialize<__D>( __deserializer: __D, ) -> Result<PubMedArticle, <__D as Deserializer<'de>>::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl ExportFormat for PubMedArticle

fn to_bibtex(&self) -> String

Export the article metadata as a BibTeX entry

fn to_ris(&self) -> String

Export the article metadata in RIS format

fn to_csl_json(&self) -> Value

Export the article metadata as CSL-JSON

fn to_nbib(&self) -> String

Export the article metadata in MEDLINE/NBIB format

impl Serialize for PubMedArticle

fn serialize<__S>( &self, __serializer: __S, ) -> Result<<__S as Serializer>::Ok, <__S as Serializer>::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.