{"doi":"10.1093/nar/gkac1005","title":"LitCovid in 2022: an information resource for the COVID-19 literature","abstract":"LitCovid (https://www.ncbi.nlm.nih.gov/research/coronavirus/)-first launched in February 2020-is a first-of-its-kind literature hub for tracking up-to-date published research on COVID-19. The number of articles in LitCovid has increased from 55 000 to ∼300 000 over the past 2.5 years, with a consistent growth rate of ∼10 000 articles per month. In addition to the rapid literature growth, the COVID-19 pandemic has evolved dramatically. For instance, the Omicron variant has now accounted for over 98% of new infections in the United States. In response to the continuing evolution of the COVID-19 pandemic, this article describes significant updates to LitCovid over the last 2 years. First, we introduced the long Covid collection consisting of the articles on COVID-19 survivors experiencing ongoing multisystemic symptoms, including respiratory issues, cardiovascular disease, cognitive impairment, and profound fatigue. Second, we provided new annotations on the latest COVID-19 strains and vaccines mentioned in the literature. Third, we improved several existing features with more accurate machine learning algorithms for annotating topics and classifying articles relevant to COVID-19. LitCovid has been widely used with millions of accesses by users worldwide on various information needs and continues to play a critical role in collecting, curating and standardizing the latest knowledge on the COVID-19 literature.","journal":"Nucleic Acids Research","year":2022,"id":248281,"datarank":0.9085170466346826,"base_score":3.4657359027997265,"endowment":3.4657359027997265,"self_citation_contribution":0.519860385419959,"citation_network_contribution":0.3886566612147236,"self_endowment_contribution":0.519860385419959,"citer_contribution":0.3886566612147236,"corpus_percentile":77.77519919548233,"corpus_rank":2874,"citation_count":31,"citer_count":27,"citers_with_citation_signal":16,"citers_with_endowment":16,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.9278,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":236882,"name":"Alexis Allot","orcid":"0000-0002-2706-9054","position":1,"is_corresponding":false},{"id":76218,"name":"Robert Leaman","orcid":"0000-0003-3296-5766","position":2,"is_corresponding":false},{"id":77959,"name":"Chih-Hsuan Wei","orcid":"0000-0001-5094-7321","position":3,"is_corresponding":false},{"id":725703,"name":"Elaheh Aghaarabi","orcid":"0000-0002-6641-333X","position":4,"is_corresponding":false},{"id":887097,"name":"John J. Guerrerio","orcid":"0000-0001-6547-9137","position":5,"is_corresponding":false},{"id":748930,"name":"Lilly Xu","orcid":null,"position":6,"is_corresponding":false},{"id":45332,"name":"ZHIYONG LU","orcid":"0000-0001-9998-916X","position":7,"is_corresponding":false},{"id":236881,"name":"Qingyu Chen","orcid":"0000-0002-6036-1516","position":0,"is_corresponding":true}],"reference_count":30,"raw_metadata":null,"created_at":"2026-07-19T00:24:09.893688Z","pmid":"36350613","pmcid":"PMC9825538","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}