Evidence map›Paper›PMID 33928238›Full record

ArticleTranslational animal science2020

Towards sensor-based calving detection in the rangelands: a systematic review of credible behavioral and physiological indicators.

Anita Z Chang, David L Swain, Mark G Trotter

Open access · goldAbstract read
In one paragraph

Article in Translational animal science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
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  3. Review
  4. Article
  5. 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

3 authors at 1 institution in 1 country.

Anita Z ChangInstitute for Future Farming Systems, School of Health, Medical, and Applied Sciences, Central Queensland University, Rockhampton North, QLD, Australia.ORCID 0000-0002-9371-068X
David L SwainInstitute for Future Farming Systems, School of Health, Medical, and Applied Sciences, Central Queensland University, Rockhampton North, QLD, Australia.
Mark G TrotterInstitute for Future Farming Systems, School of Health, Medical, and Applied Sciences, Central Queensland University, Rockhampton North, QLD, Australia.
Central Queensland University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Calving is a critical point in both a cow and calf's life, when both become more susceptible to disease and risk of death. Ideally, this period is carefully monitored. In extensive grazing systems, however, it is often not economically or physically possible for producers to continuously monitor animals, and thus, calving frequently goes undetected. The development of sensor systems, particularly in these environments, could provide significant benefits to the industry by increasing the quantity and quality of individual animal monitoring. In the time surrounding calving, cows undergo a series of behavioral and physiological changes, which can potentially be detected using sensing technologies. Before developing a sensor-based approach, it is worthwhile considering these behavioral and physiological changes, such that the appropriate technologies can be designed and developed. A systematic literature review was conducted to identify changes in the dam's behavioral and physiological states in response to a calving event. Articles (

Indexed as

behaviorcattleparturitionprecision livestock management

Identifiers

PMID33928238
PMCPMC8059146
OpenAlexW3081505983

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.