Evidence map›Paper›PMID 39372901›Full record

ArticleFrontiers in veterinary science2024

Light and scanning electron microscopy of the eye of

Amira Derbalah, Samir A A El-Gendy, Hanan H Abd-Elhafeez, Soha Soliman, Ahmed A El-Mansi, Manal Seif, Ahmed M Rashwan, Mamdouh B Eldesoqui, Catrin Sian Rutland, Valentina Kubale and 1 more

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

11 authors.

Amira DerbalahHistology and Cytology Department, Faculty of Veterinary Medicine, Alexandria University, Alexandria, Egypt.
Samir A A El-GendyAnatomy and Embryology Department, Faculty of Veterinary Medicine, Alexandria University, Alexandria, Egypt.
Hanan H Abd-ElhafeezDepartment of Cell and Tissues, Faculty of Veterinary Medicine, Assiut University, Assiut, Egypt.
Soha SolimanDepartment of Histology, Faculty of Veterinary Medicine, South Valley University, Qena, Egypt.
Ahmed A El-MansiBiology Department, College of Science, King Khalid University, Abha, Saudi Arabia.
Manal SeifAnatomy and Embryology Department, Faculty of Veterinary Medicine, Matrouh University, Mersa Matrouh, Egypt.
Ahmed M RashwanDepartment of Anatomy and Embryology, Faculty of Veterinary Medicine, Damanhour University, Damanhour, Egypt.
Mamdouh B EldesoquiDepartment of Basic Medical Sciences, College of Medicine, AlMaarefa University, Riyadh, Saudi Arabia.
Catrin Sian RutlandSchool of Veterinary Medicine and Science, University of Nottingham, Nottingham, United Kingdom.
Valentina KubaleInstitute of Preclinical Sciences, Veterinary Faculty, University of Ljubljana, Ljubljana, Slovenia.
Mohamed A M AlsafyAnatomy and Embryology Department, Faculty of Veterinary Medicine, Alexandria University, Alexandria, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The morphological characteristics of eyes in fishes are highly diverse and have evolved to meet the specific visual requirements as per their habitats. These morphological features of eyes are important for researchers and ecologists. The dusky spinefoot ( Methods: In this study, the morphology of the Results: The key observations describe the main structural features of the eye of Discussion: These observations shed new light on the intricate eye structure of

Indexed as

eyelens fibersorbitphotoreceptorsSiganus luridus

Identifiers

PMID39372901
PMCPMC11449897

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.