Work object

There's a lot of useful data inside a work. When you use the API to get a single work or lists of works, this is what's returned.

`abstract_inverted_index`

Object: The abstract of the work, as an inverted index, which encodes information about the abstract's words and their positions within the text. Like Microsoft Academic Graph, OpenAlex doesn't include plaintext abstracts due to legal constraints.

abstract_inverted_index: {
    Despite: [
        0
    ],
    growing: [
        1
    ],
    interest: [
        2
    ],
    in: [
        3,
        57,
        73,
        110,
        122
    ],
    Open: [
        4,
        201
    ],
    Access: [
        5
    ],
    ...
}

Abstract inverted index coverage

Newer works are more likely to have an abstract inverted index. For example, over 60% of works in 2022 have abstract data, compared to 45% for works older than 2000. Full chart is below:

`alternate_host_venues` (deprecated)

The host_venue and alternate_host_venues properties have been deprecated in favor of primary_location and locations. The attributes host_venue and alternate_host_venues are no longer available in the Work object, and trying to access them in filters or group-bys will return an error.

`authorships`

List: List of Authorship objects, each representing an author and their institution. Limited to the first 100 authors to maintain API performance.

For more information, see the Authorship object page.

authorships: [
    // first authorship object:
    {
        author_position: "middle",
        author: {
            id: "https://openalex.org/A5023888391",
            display_name: "Jason Priem",
            orcid: "https://orcid.org/0000-0001-6187-6610"
        },
        institutions: [
            {
                id: "https://openalex.org/I4200000001",
                display_name: "OurResearch",
                ror: "https://ror.org/02nr0ka47",
                country_code: "US",
                type: "nonprofit"
            }
        ],
        // other fields removed for brevity. See the Authorship object documentation
    },
    
    // more authorship objects go here
]

`apc_list`

Object: Information about this work's APC (article processing charge). The object contains:

value: Integer
currency: String
provenance: String — the source of this data. Currently the only value is “doaj” (DOAJ)
value_usd: Integer — the APC converted into USD

This value is the APC list price–the price as listed by the journal’s publisher. That’s not always the price actually paid, because publishers may offer various discounts to authors. Unfortunately we don’t always know this discounted price, but when we do you can find it in apc_paid.

Currently our only source for this data is DOAJ, and so doaj is the only value for apc_list.provenance, but we’ll add other sources over time.

We currently don’t have information on the list price for hybrid journals (toll-access journals that also provide an open-access option), but we will add this at some point. We do have apc_paid information for hybrid OA works occasionally.

You can use this attribute to find works published in Diamond open access journals by looking at works where apc_list.value is zero. See open_access.oa_status for more info.

apc_payment: {
    value: 3200,
    currency: "USD",
    value_usd: 3200,
    provenance: "doaj"
}

`apc_paid`

Object: Information about the paid APC (article processing charge) for this work. The object contains:

value: Integer
currency: String
provenance: String — currently either openapc or doaj, but more will be added; see below for details.
value_usd: Integer — the APC converted into USD

You can find the listed APC price (when we know it) for a given work using apc_list. However, authors don’t always pay the listed price; often they get a discounted price from publishers. So it’s useful to know the APC actually paid by authors, as distinct from the list price. This is our effort to provide this.

Our best source for the actually paid price is the OpenAPC project. Where available, we use that data, and so apc_paid.provenance is openapc. Where OpenAPC data is unavailable (and unfortunately this is common) we make our best guess by assuming the author paid the APC list price, and apc_paid.provenance will be set to wherever we got the list price from.

apc_payment: {
    value: 2250,
    currency: "EUR",
    value_usd: 2426,
    provenance: "openapc"
}

`best_oa_location`

Object: A Location object with the best available open access location for this work.

We score open locations to determine which is best using these factors:

Must have is_oa: true
type_:_ "publisher" is better than "repository".
version: "publishedVersion" is better than "acceptedVersion", which is better than "submittedVersion".
pdf_url: A location with a direct PDF link is better than one without.
repository rankings: Some major repositories like PubMed Central and arXiv are ranked above others.

best_oa_location: {
  is_oa: true,
  landing_page_url: "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1398957",
  pdf_url: null,
  source: {
    id: "https://openalex.org/S2764455111",
    display_name: "PubMed Central",
    issn_l: null,
    issn: null,
    host_organization: "https://openalex.org/I1299303238",
    type: "repository"
  },
  license: null,
  version: "publishedVersion"
}

`biblio`

Object: Old-timey bibliographic info for this work. This is mostly useful only in citation/reference contexts. These are all strings because sometimes you'll get fun values like "Spring" and "Inside cover."

volume (String)
issue (String)
first_page (String)
last_page (String)

biblio: {
    volume: "495",
    issue: "7442",
    first_page: "437",
    last_page: "440"
}

`cited_by_api_url`

String: A URL that uses the cites filter to display a list of works that cite this work. This is a way to expand cited_by_count into an actual list of works.

`cited_by_count`

Integer: The number of citations to this work. These are the times that other works have cited this work: Other works ➞ This work.

cited_by_count: 382

`concepts`

List: List of dehydrated Concept objects.

Each Concept object in the list also has one additional property:

score (Float): The strength of the connection between the work and this concept (higher is stronger). This number is produced by AWS Sagemaker, in the last layer of the machine learning model that assigns concepts.

Concepts with a score of at least 0.3 are assigned to the work. However, ancestors of an assigned concept are also added to the work, even if the ancestor scores are below 0.3.

Because ancestor concepts are assigned to works, you may see concepts in works with very low scores, even some zero scores.

concepts: [
    {
        id: "https://openalex.org/C71924100",
        wikidata: "https://www.wikidata.org/wiki/Q11190",
        display_name: "Medicine",
        level: 0,
        score: 0.9187037
    },
    {
        id: "https://openalex.org/C3007834351",
        wikidata: "https://www.wikidata.org/wiki/Q82069695",
        display_name: "Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)",
        level: 5,
        score: 0.8070164
    },
    ...
    {
        id: "https://openalex.org/C191935318",
        wikidata: "https://www.wikidata.org/wiki/Q148",
        display_name: "China",
        level: 2,
        score: 0.5948172
    },
    ...
    {
        id: "https://openalex.org/C121608353",
        wikidata: "https://www.wikidata.org/wiki/Q12078",
        display_name: "Cancer",
        level: 2,
        score: 0.46887803
    },
    ...
    {
        id: "https://openalex.org/C17744445",
        wikidata: "https://www.wikidata.org/wiki/Q36442",
        display_name: "Political science",
        level: 0,
        score: 0
    }
]

`corresponding_author_ids`

List: OpenAlex IDs of any authors for which authorships.is_corresponding is true.

corresponding_author_ids: ["https://openalex.org/A5004365451"]

`corresponding_institution_ids`

List: OpenAlex IDs of any institutions found within an authorship for which authorships.is_corresponding is true.

corresponding_institution_ids: ["https://openalex.org/I4210123613"]

`countries_distinct_count`

Integer: Number of distinct country_codes among the authorships for this work.

countries_distinct_count: 4

`counts_by_year`

List: Works.cited_by_count for each of the last ten years, binned by year. To put it another way: each year, you can see how many times this work was cited.

Any citations older than ten years old aren't included. Years with zero citations have been removed so you will need to add those in if you need them.

counts_by_year: [
    {
        year: 2022,
        cited_by_count: 8
    },
    {
        year: 2021,
        cited_by_count: 252
    },
    ...
    {
        year: 2012,
        cited_by_count: 79
    }
]

`created_date`

String: The date this Work object was created in the OpenAlex dataset, expressed as an ISO 8601 date string.

created_date: "2017-08-08"

`display_name`

String: Exactly the same as Work.title. It's useful for Works to include a display_name property, since all the other entities have one.

display_name: "The state of OA: a large-scale analysis of the prevalence and impact of Open Access articles",

`doi`

String: The DOI for the work. This is the Canonical External ID for works.

Occasionally, a work has more than one DOI--for example, there might be one DOI for a preprint version hosted on bioRxiv, and another DOI for the published version. However, this field always has just one DOI, the DOI for the published work.

doi: "https://doi.org/10.7717/peerj.4375"

`fulltext_origin`

String: If a work's full text is searchable in OpenAlex (has_fulltext is true), this tells you how we got the text. This will be one of:

pdf: We used Grobid to get the text from an open-access PDF.
ngrams: Full text search is enabled using N-grams obtained from the Internet Archive.

This attribute is only available for works with has_fulltext:true.

fulltext_origin: "pdf"

`fwci`

Float: The Field-weighted Citation Impact (FWCI), calculated for a work as the ratio of citations received / citations expected in the year of publications and three following years. Learn more in the reference article: Field Weighted Citation Impact (FWCI).

fwci: 76.992

`grants`

List: List of grant objects, which include the Funder and the award ID, if available. Our grants data comes from Crossref, and is currently fairly limited.

grants: [
    // grant for which we have the grant details:
    {
        funder: "https://openalex.org/F4320306076",
        funder_display_name: "National Science Foundation",
        award_id: "ABI 1661218",
    },
    // grant for which we do not have the details:
    {
        funder: "https://openalex.org/F4320306084",
        funder_display_name: "U.S. Department of Energy",
        award_id: null,
    },
]

`has_fulltext`

Boolean: Set to true if the work's full text is searchable in OpenAlex. This does not necessarily mean that the full text is available to you, dear reader; rather, it means that we have indexed the full text and can use it to help power searches. If you are trying to find the full text for yourself, try looking in open_access.oa_url.

We get access to the full text in one of two ways: either using an open-access PDF, or using N-grams obtained from the Internet Archive. You can learn where a work's full text came from at fulltext_origin.

has_fulltext: true

`host_venue` (deprecated)

`id`

String: The OpenAlex ID for this work.

id: "https://openalex.org/W2741809807"

`ids`

Object: All the external identifiers that we know about for this work. IDs are expressed as URIs whenever possible. Possible ID types:

doi (String: The DOI. Same as Work.doi)
mag (Integer: the Microsoft Academic Graph ID)
openalex (String: The OpenAlex ID. Same as Work.id)
pmid (String: The Pubmed Identifier)
pmcid (String: the Pubmed Central identifier)

Most works are missing one or more ID types (either because we don't know the ID, or because it was never assigned). Keys for null IDs are not displayed.

ids: {
    openalex: "https://openalex.org/W2741809807",
    doi: "https://doi.org/10.7717/peerj.4375",
    mag: 2741809807,
    pmid: "https://pubmed.ncbi.nlm.nih.gov/29456894"
}

`indexed_in`

List: The sources this work is indexed in. Possible values: arxiv, crossref, doaj, pubmed.

indexed_in: [
    "arxiv", "crossref", "pubmed"
]

`institutions_distinct_count`

Integer: Number of distinct institutions among the authorships for this work.

institutions_distinct_count: 4

`is_paratext`

Boolean: True if we think this work is paratext.

In our context, paratext is stuff that's in a scholarly venue (like a journal) but is about the venue rather than a scholarly work properly speaking. Some examples and nonexamples:

yep it's paratext: front cover, back cover, table of contents, editorial board listing, issue information, masthead.
no, not paratext: research paper, dataset, letters to the editor, figures

Turns out there is a lot of paratext in registries like Crossref. That's not a bad thing... but we've found that it's good to have a way to filter it out.

We determine is_paratext algorithmically using title heuristics.

is_paratext: false

`is_retracted`

Boolean: True if we know this work has been retracted.

We identify works that have been retracted using the public Retraction Watch database, a public resource made possible by a partnership between Crossref and The Center for Scientific Integrity.

is_retracted: false

`keywords`

List of objects: Short phrases identified based on works' Topics. For background on how Keywords are identified, see the Keywords page at OpenAlex help pages.

The score for each keyword represents the similarity score of that keyword to the title and abstract text of the work.

We provide up to 5 keywords per work, for all keywords with scores above a certain threshold.

[
    {
        id: "https://openalex.org/keywords/global-seaweed-distribution",
        display_name: "Global Seaweed Distribution",
        score: 0.559386
    },
    {
        id: "https://openalex.org/keywords/climate-change-impacts",
        display_name: "Climate Change Impacts",
        score: 0.535795
    },
    {
        id: "https://openalex.org/keywords/ecosystem-resilience",
        display_name: "Ecosystem Resilience",
        score: 0.502789
    }
]

`language`

String: The language of the work in ISO 639-1 format. The language is automatically detected using the information we have about the work. We use the langdetect software library on the words in the work's abstract, or the title if we do not have the abstract. The source code for this procedure is here. Keep in mind that this method is not perfect, and that in some cases the language of the title or abstract could be different from the body of the work.

A few things to keep in mind about this:

We don't always assign a language if we do not have enough words available to accurately guess.
We report the language of the metadata, not the full text. For example, if a work is in French, but the title and abstract are in English, we report the language as English.
In some cases, abstracts are in two different languages. Unfortunately, when this happens, what we report will not be accurate.

language: "en"

`license`

String: The license applied to this work at this host. Most toll-access works don't have an explicit license (they're under "all rights reserved" copyright), so this field generally has content only if is_oa is true.

license: "cc-by"

`locations`

List: A list of Location objects describing all unique places where this work lives.

locations: [ 
  {
    is_oa: true,
    landing_page_url: "https://doi.org/10.1073/pnas.17.6.401",
    pdf_url: "http://www.pnas.org/content/17/6/401.full.pdf",
    source: {
      id: "https://openalex.org/S125754415",
      display_name: "Proceedings of the National Academy of Sciences of the United States of America",
      issn_l: "0027-8424",
      issn: ["1091-6490", "0027-8424"],
      host_organization: "https://openalex.org/P4310320052",
      type: "journal"
    },
    license: null,
    version: "publishedVersion"
  },
  {
    is_oa: true,
    landing_page_url: "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1076072",
    pdf_url: null,
    source: {
      id: "https://openalex.org/S2764455111",
      display_name: "PubMed Central",
      issn_l: null,
      issn: null,
      host_organization: "https://openalex.org/I1299303238",
      type: "repository"
    },
    license: null,
    version: "publishedVersion"
  }
]

`locations_count`

Integer: Number of locations for this work.

locations_count: 3

`mesh`

List: List of MeSH tag objects. Only works found in PubMed have MeSH tags; for all other works, this is an empty list.

mesh: [
    {
        descriptor_ui: "D017712",
        descriptor_name: "Peer Review, Research",
        qualifier_ui: "Q000379",
        qualifier_name: "methods",
        is_major_topic: false
    },
    {
        descriptor_ui: "D017712",
        descriptor_name: "Peer Review, Research",
        qualifier_ui: "Q000592",
        qualifier_name: "standards",
        is_major_topic: true
    }
]

`open_access`

Object: Information about the access status of this work, as an OpenAccess object.

open_access: {
    is_oa: true,
    oa_status: "gold",
    oa_url: "https://peerj.com/articles/4375.pdf",
    any_repository_has_fulltext: true
},

`primary_location`

Object: A Location object with the primary location of this work.

The primary_location is where you can find the best (closest to the version of record) copy of this work. For a peer-reviewed journal article, this would be a full text published version, hosted by the publisher at the article's DOI URL.

primary_location: {
  is_oa: true,
  landing_page_url: "https://doi.org/10.1073/pnas.17.6.401",
  pdf_url: "http://www.pnas.org/content/17/6/401.full.pdf",
  source: {
    id: "https://openalex.org/S125754415",
    display_name: "Proceedings of the National Academy of Sciences of the United States of America",
    issn_l: "0027-8424",
    issn: ["1091-6490", "0027-8424"],
    host_organization: "https://openalex.org/P4310320052",
    type: "journal"
  },
  license: null,
  version: "publishedVersion"
}

`primary_topic`

Object

The top ranked Topic for this work. This is the same as the first item in Work.topics.

primary_topic: {
    id: "https://openalex.org/T12419",
    display_name: "Analysis of Cardiac and Respiratory Sounds",
    score: 	0.9997,
    subfield: {
        id: 2740,
        display_name: "Pulmonary and Respiratory Medicine"
    }
    field: {
        id: 27,
        display_name: "Medicine"
    }
    domain: {
        id: 4,
        display_name: "Health Sciences"
    }
}

`publication_date`

String: The day when this work was published, formatted as an ISO 8601 date.

Where different publication dates exist, we usually select the earliest available date of electronic publication.

This date applies to the version found at Work.url. The other versions, found in Work.locations, may have been published at different (earlier) dates.

publication_date: "2018-02-13"

`publication_year`

Integer: The year this work was published.

This year applies to the version found at Work.url. The other versions, found in Work.locations, may have been published in different (earlier) years.

publication_year: 2018

`referenced_works`

List: OpenAlex IDs for works that this work cites. These are citations that go from this work out to another work: This work ➞ Other works.

referenced_works: [
    "https://openalex.org/W2753353163",
    "https://openalex.org/W2785823074",
    "https://openalex.org/W2511661767",
    "https://openalex.org/W2115339903",
    "https://openalex.org/W2031754690"
]

`related_works`

List: OpenAlex IDs for works related to this work. Related works are computed algorithmically; the algorithm finds recent papers with the most concepts in common with the current paper.

related_works: [
    "https://openalex.org/W2753353163",
    "https://openalex.org/W2785823074",
    "https://openalex.org/W2511661767",
    "https://openalex.org/W2115339903",
    "https://openalex.org/W2031754690",
]

`sustainable_development_goals`

List: List of objects

The United Nations' 17 Sustainable Development Goals are a collection of goals at the heart of a global "shared blueprint for peace and prosperity for people and the planet." We use a machine learning model to tag works with their relevance to these goals based on our OpenAlex SDG Classifier, an mBERT machine learning model developed by the Aurora Universities Network. The score represents the model's predicted probability of the work's relevance for a particular goal.

We display all of the SDGs with a prediction score higher than 0.4.

sustainable_development_goals: [
    {
        id: "https://metadata.un.org/sdg/3",
        display_name: "Good health and well-being",
        score: 	0.95
    }
]

`topics`

List: List of objects

The top ranked Topics for this work. We provide up to 3 topics per work.

topics: [
    {
        id: "https://openalex.org/T12419",
        display_name: "Analysis of Cardiac and Respiratory Sounds",
        score: 	0.9997,
        subfield: {
            id: 2740,
            display_name: "Pulmonary and Respiratory Medicine"
        }
        field: {
            id: 27,
            display_name: "Medicine"
        }
        domain: {
            id: 4,
            display_name: "Health Sciences"
        }
    }
    ...
]

`title`

String: The title of this work.

This is exactly the same as Work.display_name. We include both attributes with the same information because we want all entities to have a display_name, but there's a longstanding tradition of calling this the "title," so we figured you'll be expecting works to have it as a property.

title: "The state of OA: a large-scale analysis of the prevalence and impact of Open Access articles",

`type`

String: The type of the work.

You can see all of the different types along with their counts in the OpenAlex API here: https://api.openalex.org/works?group_by=type.

Most works are type article. This includes what was formerly (and currently in type_crossref) labeled as journal-article, proceedings-article, and posted-content. We consider all of these to be article type works, and the distinctions between them to be more about where they are published or hosted:

Journal articles will have a primary_location.source.type of journal
Conference proceedings will have a primary_location.source.type of conference
Preprints or "posted content" will have a primary_location.version of submittedVersion

(Note that distinguishing between journals and conferences is a hard problem, one we often get wrong. We are working on improving this, but we also point out that the two have a lot of overlap in terms of their roles as hosts of research publications.)

Works that are hosted primarily on a preprint, or that are identified speicifically as preprints in the metadata we receive, are assigned the type preprint rather than article.

Works that represent stuff that is about the venue (such as a journal)—rather than a scholarly work properly speaking—have type paratext. These include things like front-covers, back-covers, tables of contents, and the journal itself (e.g., https://openalex.org/W4232230324).

We also have types for letter , editorial , erratum (corrections), libguides , supplementary-materials , and review (currently, articles that come from journals that exclusively publish review articles). Coverage is low on these but will improve.

Other work types follow the Crossref "type" controlled vocabulary—see type_crossref.

type: "article"

`type_crossref`

String: Legacy type information, using Crossref's "type" controlled vocabulary.

These are the work types that we used to use, before switching to our current system (see type).

You can see all possible values of Crossref's "type" controlled vocabulary via the Crossref api here: https://api.crossref.org/types.

Where possible, we just pass along Crossref's type value for each work. When that's impossible (eg the work isn't in Crossref), we do our best to figure out the type ourselves.

type_crossref: "journal-article"

`updated_date`

String: The last time anything in this Work object changed, expressed as an ISO 8601 date string (in UTC). This date is updated for any change at all, including increases in various counts.

updated_date: "2022-01-02T00:22:35.180390"

The `OpenAccess` object

The OpenAccess object describes access options for a given work. It's only found as part of the Work object.

`any_repository_has_fulltext`

Boolean: True if any of this work's locations has location.is_oa=true and location.source.type=repository.

Use case: researchers want to track Green OA, using a definition of "any repository hosts this." OpenAlex's definition (as used in oa_status) doesn't support this, because as soon as there's a publisher-hosted copy (bronze, hybrid, or gold), oa_status is set to that publisher-hosted status.

So there's a lot of repository-hosted content that the oa_status can't tell you about. Our State of OA paper calls this "shadowed Green." This feature makes it possible to track shadowed Green.

any_repository_has_fulltext: true

`is_oa`

Boolean: True if this work is Open Access (OA).

There are many ways to define OA. OpenAlex uses a broad definition: having a URL where you can read the fulltext of this work without needing to pay money or log in. You can use the locations and oa_status fields to narrow your results further, accommodating any definition of OA you like.

is_oa: true

`oa_status`

String: The Open Access (OA) status of this work. Possible values are:

diamond: Published in a fully OA journal—one that is indexed by the DOAJ or that we have determined to be OA—with no article processing charges (i.e., free for both readers and authors).
gold: Published in a fully OA journal.
green: Toll-access on the publisher landing page, but there is a free copy in an OA repository.
hybrid: Free under an open license in a toll-access journal.
bronze: Free to read on the publisher landing page, but without any identifiable license.
closed: All other articles.

oa_status: "gold"

`oa_url`

String: The best Open Access (OA) URL for this work.

Although there are many ways to define OA, in this context an OA URL is one where you can read the fulltext of this work without needing to pay money or log in. The "best" such URL is the one closest to the version of record.

This URL might be a direct link to a PDF, or it might be to a landing page that links to the free PDF

oa_url: "https://peerj.com/articles/4375.pdf"

PreviousWorks NextAuthorship object

Last updated 3 months ago

abstract_inverted_index

Abstract inverted index coverage

alternate_host_venues (deprecated)

authorships

apc_list

apc_paid

best_oa_location

biblio

cited_by_api_url

cited_by_count

concepts

corresponding_author_ids

corresponding_institution_ids

countries_distinct_count

counts_by_year

created_date

display_name

doi

fulltext_origin

fwci

grants

has_fulltext

host_venue (deprecated)

id

ids

indexed_in

institutions_distinct_count

is_paratext

is_retracted

keywords

language

license

locations

locations_count

mesh

open_access

primary_location

primary_topic

publication_date

publication_year

referenced_works

related_works

sustainable_development_goals

topics

title

type

type_crossref

updated_date

The OpenAccess object

any_repository_has_fulltext

is_oa

oa_status

oa_url

`abstract_inverted_index`

`alternate_host_venues` (deprecated)

`authorships`

`apc_list`

`apc_paid`

`best_oa_location`

`biblio`

`cited_by_api_url`

`cited_by_count`

`concepts`

`corresponding_author_ids`

`corresponding_institution_ids`

`countries_distinct_count`

`counts_by_year`

`created_date`

`display_name`

`doi`

`fulltext_origin`

`fwci`

`grants`

`has_fulltext`

`host_venue` (deprecated)

`id`

`ids`

`indexed_in`

`institutions_distinct_count`

`is_paratext`

`is_retracted`

`keywords`

`language`

`license`

`locations`

`locations_count`

`mesh`

`open_access`

`primary_location`

`primary_topic`

`publication_date`

`publication_year`

`referenced_works`

`related_works`

`sustainable_development_goals`

`topics`

`title`

`type`

`type_crossref`

`updated_date`

The `OpenAccess` object

`any_repository_has_fulltext`

`is_oa`

`oa_status`

`oa_url`