Evidence map›Paper›PMID 35013714›Full record

ArticleApplied network science2022

NETME: on-the-fly knowledge network construction from biomedical literature.

Alessandro Muscolino, Antonio Di Maria, Rosaria Valentina Rapicavoli, Salvatore Alaimo, Lorenzo Bellomo, Fabrizio Billeci, Stefano Borzì, Paolo Ferragina, Alfredo Ferro, Alfredo Pulvirenti

Abstract read
In one paragraph

Article in Applied network science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The impact of vitamin D on cancer: A mini review.The Journal of steroid biochemistry and molecular biology · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. 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

10 authors.

Alessandro Muscolino *Department of Physics and Astronomy, University of Catania, Catania, Italy.
Antonio Di Maria *Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Rosaria Valentina Rapicavoli *Department of Physics and Astronomy, University of Catania, Catania, Italy.
Salvatore AlaimoDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Lorenzo BellomoDepartment of Computer Science, University of Pisa, Pisa, Italy.
Fabrizio BilleciDepartment of Maths and Computer Science, University of Catania, Catania, Italy.
Stefano BorzìDepartment of Maths and Computer Science, University of Catania, Catania, Italy.
Paolo FerraginaDepartment of Computer Science, University of Pisa, Pisa, Italy.
Alfredo FerroDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Alfredo PulvirentiDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rapidly increasing biological literature is a key resource to automatically extract and gain knowledge concerning biological elements and their relations. Knowledge Networks are helpful tools in the context of biological knowledge discovery and modeling.

resultsWe introduce a novel system called SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s41109-021-00435-x.

Indexed as

Knowledge graphNetwork analysisText mining

Identifiers

PMID35013714
PMCPMC8733431

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.