Research data · Disease model and test

Novel object recognition in obesity and high-fat diet research

From 2021 to 2025, 90 animal research papers on obesity and high-fat diet mentioned novel object recognition in their title or abstract.

That is 5.0 times the 18 papers of 2011 to 2015. Between the same two periods, the papers on obesity and high-fat diet that mention any of the 90 tests we count grew more slowly, to 2.1 times as many.

90 papers on obesity and high-fat diet from 2021 to 2025 mentioned novel object recognition
12% of the papers on obesity and high-fat diet that mention any test mention novel object recognition
3% of the papers that mention novel object recognition are on obesity and high-fat diet
5.0 times as many papers as in 2011 to 2015

Papers by year

Animal research papers on obesity and high-fat diet that mention novel object recognition, by year, 2001 to 2026

The 2026 bar counts papers added to PubMed by November 8, 2026.

  • Papers in a full year
  • 2026 so far
Show the counts for each year
Papers by year
YearPapers
20010
20020
20030
20040
20050
20060
20070
20080
20091
20101
20110
20123
20131
20144
201510
201614
20179
20185
201915
202015
202118
202213
202310
202423
202526
2026 (part year)15

Papers on obesity and high-fat diet that mention novel object recognition fell from 18 in 2021 to 10 in 2023, then rose to 26 in 2025. Part of this dip may come from PubMed's indexing rather than from fewer studies. Where PubMed has indexed a paper, we take its disease models from that indexing. Otherwise PubTator 3, NCBI's text-mining service, has to find the disease in the title or abstract, or the paper is not counted here. Papers that PubMed indexed under the subject heading Animals also fell and rose, from 200,221 in 2021 to 156,447 in 2023 and 235,479 in 2025.

Which species the papers used

Each bar is a share of the 90 papers from 2021 to 2025. A paper can use more than one species, so the shares can add to more than 100%.

Species

Mouse
56 papers 62%
Rat
32 papers 36%
Zebrafish
1 paper 1%
Other animals
1 paper 1%

“Other animals” counts papers that use none of the species this chart names.

Tests mentioned alongside novel object recognition

Each bar is one test, with how many of the 90 papers also mention it, and what share that is. Of these papers, 36 (40%) mention no other test.

The 12 tests these papers mention most

27 papers 30%
18 papers 20%
9 papers 10%
5 papers 6%
3 papers 3%
3 papers 3%
3 papers 3%
2 papers 2%

Which papers count

A paper counts here when it is animal research, mentions novel object recognition in its title or abstract, and studies obesity and high-fat diet.

We tell whether a paper studies obesity and high-fat diet from its MeSH terms, the subject headings the National Library of Medicine adds when it indexes a paper. For a paper without MeSH terms, PubTator 3, NCBI's text-mining service, has to find the disease in the title or abstract. A paper can count under more than one disease model. A paper that mentions the test only in its methods is missed, so the count runs low.

The page on obesity and high-fat diet research names the subject headings we count as obesity and high-fat diet. Download the test list for the search terms we used for novel object recognition, or the paper list for the PubMed ID of every paper behind these counts. Our main page, Behavioral tests in published research, has the full method and each source's terms of use.

More tests and disease models

Every pairing of a disease model and a test with 30 or more papers from 2021 to 2025 has a page like this one.

The page on novel object recognition counts all the papers that mention it, whatever they study. The page on obesity and high-fat diet research ranks the tests by their papers on obesity and high-fat diet.

How to cite

APA

ConductScience. (2026, November 10). Novel object recognition in obesity and high-fat diet research [Data set]. https://conductscience.com/data/behavioral-tests/models/obesity/novel-object-recognition

BibTeX

@misc{conductscience_obesity_novel_object_recognition_2026,
  author = {{ConductScience}},
  title = {Novel object recognition in obesity and high-fat diet research},
  year = {2026},
  month = nov,
  url = {https://conductscience.com/data/behavioral-tests/models/obesity/novel-object-recognition},
  note = {Data set, released November 10, 2026},
}

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