Evidence map›Paper›PMID 39628881›Full record

ArticleJournal of applied crystallography2024

Sagar Khavnekar, Philipp S Erdmann, William Wan

Abstract read
In one paragraph

Article in Journal of applied crystallography, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  10. Review
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  15. Review
  16. Article
  17. The big chill: Growth ofQRB discovery · 2024
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Sagar KhavnekarMax Planck Institute of Biochemistry Martinsried Germany.ORCID https://orcid.org/0000-0003-2020-3561
Philipp S ErdmannHuman Technopole, Milan, Italy.ORCID https://orcid.org/0000-0001-8289-9133
William WanDepartment of Biochemistry, Center for Structural Biology Vanderbilt University School of Medicine Nashville TN37232 USA.ORCID https://orcid.org/0000-0003-2497-3010

Funding

Elucidating the mechanisms of viral life cycles under near-native conditionsDP2GM146321 · NIGMS · VANDERBILT UNIVERSITY · PI WAN, WILLIAM N · 2021 to 2024
$2.4M
NIGMS NIH HHS DP2 GM146321
6 · The paper itself

Abstract

Cryo-electron tomography (cryo-ET) and subtomogram averaging (STA) are becoming the preferred methodologies for investigating subcellular and macromolecular structures in native or near-native environments. Although cryo-ET is amenable to a wide range of biological problems, these problems often have data-processing requirements that need to be individually optimized, precluding the notion of a one-size-fits-all processing pipeline. Cryo-ET data processing is also becoming progressively more complex due to the increasing number of packages for each processing step. Though each package has its strengths and weaknesses, independent development and different data formats make them difficult to interface with one another.

Indexed as

cryo-electron microscopycryo-electron tomographycryo-EMcryo-ETstructural biologysubtomogram averagingTOMOMAN

Identifiers

PMID39628881
PMCPMC11611285

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.