Evidence map›Paper›PMID 35953995›Full record

ReviewAnimals : an open access journal from MDPI2022

Accuracy to Predict the Onset of Calving in Dairy Farms by Using Different Precision Livestock Farming Devices.

Ottó Szenci

Open access · goldAbstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 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
3.1field-weighted citation impact, top 8% of its field
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, 24 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Internet of Things (IoT): Sensors Application in Dairy Cattle Farming.Animals : an open access journal from MDPI · 2024
    Review
  7. Advances in Dairy Cattle Reproduction-A Foreword.Animals : an open access journal from MDPI · 2024
    Article
  8. Article
  9. Importance of Monitoring Fetal and Neonatal Vitality in Bovine Practices.Animals : an open access journal from MDPI · 2023
    Review
  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

1 author at 1 institution in 1 country.

Ottó SzenciDepartment of Obstetrics and Food Animal Medicine Clinic, University of Veterinary Medicine Budapest, H-2225 Ullo Dora-major, Hungary.ORCID 0000-0002-3248-173X
University of Veterinary Medicine · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Besides traditional methods such as evaluation of the external preparatory and behavioral signs, which even presently are widely used also in large dairy farms, there are several new possibilities such as measuring body (intravaginal, ventral tail-base surface, ear surface, or reticulo-ruminal) temperature, detecting behavioral signs (rumination, eating, activity, tail raising) or detecting the expulsion of the device inserted into the vagina or fixed to the skin of the vulva when allantochorion appears in the vulva to predict the onset of the second stage of calving. Presently none of the single sensors or a combination of sensors can predict the onset of calving with acceptable accuracy. At the same time, with the exception of the iVET

Indexed as

dairy cowdystociaperinatal mortalityprecision livestock farming devicespredicting of calving

Identifiers

PMID35953995
PMCPMC9367308
OpenAlexW4290705294

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.