What journal to choose? My article contains a big table

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SUMMARY

The discussion centers on selecting an appropriate journal for submitting an article that includes a large dataset, specifically a table with 3 columns and 3000 rows. The user has identified "Atomic Data and Nuclear Data Tables" and "Nuclear Data Sheets" but is concerned about their low Impact Factors, approximately 2. The advice given emphasizes the importance of reading relevant journals to understand publication standards and suggests that large datasets should typically be presented as auxiliary data, with the main article focusing on methodology and key findings.

PREREQUISITES
  • Understanding of academic journal selection criteria
  • Familiarity with Impact Factor metrics
  • Knowledge of data presentation in scientific publications
  • Experience with auxiliary data handling in research articles
NEXT STEPS
  • Research high-impact journals in the field of nuclear physics with an Impact Factor above 3.5
  • Learn about best practices for presenting large datasets in scientific articles
  • Explore previous publications in relevant journals to understand formatting and content expectations
  • Investigate methods for summarizing extensive data into key findings for publication
USEFUL FOR

Researchers, physicists, and academics seeking to publish articles with large datasets, particularly those looking to improve their understanding of journal selection and data presentation standards.

alizade
dear physicts

I am searching about a journal to submit my article

my article contains a big table (3 column and 3000 rows)

I found:

Atomic Data and Nuclear Data Tables

Nuclear Data Sheets

but Impact Factor of these two journals are low (about 2)

I want a same journal but by High Impact (more than 3.5)

please guide me
 
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It's pretty clear you aren't reading any journals. Since you're not reading any journals, the odds are that your "article" is unpublishable. Furthermore, wanting to publish without wanting to read what others are publishing is like saying you want to talk but don't want to listen. Many scientists (and other people0 find this off-putting.
 
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All fields have established methods to handle big datasets - typically they are provided as auxiliary data in some way and the main publication only discusses how the measurements were done and so on, and highlights a few results. Check what previous publications did. And figure out if these 3000 rows are really all interesting.
 

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