Evidence map›Paper›PMID 32716295›Full record

ArticleeLife2020

International authorship and collaboration across bioRxiv preprints.

Richard J Abdill, Elizabeth M Adamowicz, Ran Blekhman

Abstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Open Science in Kenya: Where Are We?Frontiers in research metrics and analytics · 2021
    Article
  14. Article
  15. 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

3 authors.

Richard J AbdillDepartment of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, United States.ORCID 0000-0001-9565-5832
Elizabeth M AdamowiczDepartment of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, United States.ORCID 0000-0003-3332-8021
Ran BlekhmanDepartment of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, United States.ORCID 0000-0003-3218-613X

Funding

Population Genomics of Host-Microbiome InteractionsR35GM128716 · NIGMS · UNIVERSITY OF MINNESOTA · PI Ran Blekhman · 2018 to 2026
$3.5M
NIGMS NIH HHS R35 GM128716NIH HHS R35-GM128716
6 · The paper itself

Abstract

Preprints are becoming well established in the life sciences, but relatively little is known about the demographics of the researchers who post preprints and those who do not, or about the collaborations between preprint authors. Here, based on an analysis of 67,885 preprints posted on bioRxiv, we find that some countries, notably the United States and the United Kingdom, are overrepresented on bioRxiv relative to their overall scientific output, while other countries (including China, Russia, and Turkey) show lower levels of bioRxiv adoption. We also describe a set of 'contributor countries' (including Uganda, Croatia and Thailand): researchers from these countries appear almost exclusively as non-senior authors on international collaborations. Lastly, we find multiple journals that publish a disproportionate number of preprints from some countries, a dynamic that almost always benefits manuscripts from the US.

Indexed as

AuthorshipPreprints as TopicResearch PersonnelBibliometricsBiomedical ResearchDatasets as TopicHumansInternationalityOnline SystemsbibliometricsbioRxivcomputational biologymeta-researchnonepreprintsscientific publishingsystems biology

Identifiers

PMID32716295
PMCPMC7384855

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.