Evidence map›Paper›PMID 32591513›Full record

ArticleScientific data2020

Building a PubMed knowledge graph.

Jian Xu, Sunkyu Kim, Min Song, Minbyul Jeong, Donghyeon Kim, Jaewoo Kang, Justin F Rousseau, Xin Li, Weijia Xu, Vetle I Torvik and 5 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

51 citing papers in PubMed.

  1. Article
  2. Article
  3. LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval.Proceedings of the conference. Association for Computational Linguistics. Meeting · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Historiography of Scientific Publishing across Cultures and Disciplines.The Indian journal of radiology & imaging · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. The landscape of biomedical research.Patterns (New York, N.Y.) · 2024
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Jian XuSchool of Information Management, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0003-4886-4708
Sunkyu KimDepartment of Computer Science and Engineering, Korea University, Seoul, South Korea.
Min SongDepartment of Library and Information Science, Yonsei University, Seoul, South Korea.
Minbyul JeongDepartment of Computer Science and Engineering, Korea University, Seoul, South Korea.
Donghyeon KimDepartment of Computer Science and Engineering, Korea University, Seoul, South Korea.
Jaewoo KangDepartment of Computer Science and Engineering, Korea University, Seoul, South Korea.ORCID http://orcid.org/0000-0001-6798-9106
Justin F RousseauDell Medical School, University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0002-2817-9124
Xin LiSchool of Information, University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0002-8169-6059
Weijia XuTexas Advanced Computing Center, Austin, TX, USA.
Vetle I TorvikSchool of Information Sciences, University of Illinois at Urbana-Champaign, Champaign, IL, USA.
Yi BuDepartment of Information Management, Peking University, Beijing, China.
Chongyan ChenSchool of Information, University of Texas at Austin, Austin, TX, USA.
Islam Akef EbeidSchool of Information, University of Texas at Austin, Austin, TX, USA.
Daifeng LiSchool of Information Management, Sun Yat-sen University, Guangzhou, China. lidaifeng@mail.sysu.edu.cn.
Ying DingDell Medical School, University of Texas at Austin, Austin, TX, USA. ying.ding@austin.utexas.edu.ORCID http://orcid.org/0000-0003-2567-2009

Funding

LIFE CYCLE EVENTS, PRODUCTIVITY, AND SCIENTIFIC IMPACTP01AG039347 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI BHATTACHARYA, JAY · 2013 to 2018
$5.4M
Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) P01AG039347National Research Foundation of Korea (NRF) NRF-2017R1A2A1A17069645National Research Foundation of Korea (NRF) NRF-2019R1A2C2002577Natural Science Foundation of Guangdong Province (Guangdong Natural Science Foundation) 2018A030313981NIA NIH HHS P01 AG039347
6 · The paper itself

Abstract

PubMed

Indexed as

AuthorshipKnowledge BasesPubMedDeep Learning

Identifiers

PMID32591513
PMCPMC7320186

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.