Evidence map›Paper›PMID 30046516›Full record

ArticleMethodsX2018

Flexible and non-invasive passive integrated transponder (PIT) tagging protocols for tropical freshwater fish species.

Bettina Grieve, J Baumgartner Lee, Wayne Robinson, Luiz G M Silva, Karl Pomorin, Garry Thorncraft, Nathan Ning

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MethodsX, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

0 citing papers in PubMed, 8 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 3 countries.

Bettina GrieveInstitute of Land, Water and Society, Charles Sturt University, P.O. Box 789, Albury, NSW, 2640, Australia.
J Baumgartner LeeInstitute of Land, Water and Society, Charles Sturt University, P.O. Box 789, Albury, NSW, 2640, Australia.
Wayne RobinsonInstitute of Land, Water and Society, Charles Sturt University, P.O. Box 789, Albury, NSW, 2640, Australia.
Luiz G M SilvaInstitute of Land, Water and Society, Charles Sturt University, P.O. Box 789, Albury, NSW, 2640, Australia.
Karl PomorinKarltek Pty Ltd., Sanctuary Lakes, Melbourne, VIC, Australia.
Garry ThorncraftNational University of Laos, Dongdok Campus, Vientiane, Lao People's Democratic Republic.
Nathan NingInstitute of Land, Water and Society, Charles Sturt University, P.O. Box 789, Albury, NSW, 2640, Australia.
Charles Sturt University · AUNational University of Laos · LA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Passive integrated transponder (PIT) tagging has proven to be an effective mark-recapture technique for many temperate freshwater and marine fish species, but its adaptability to tropical freshwater species remains largely unknown. Nevertheless, many tropical river systems, such as the Mekong in South East Asia, are currently being developed at an unprecedented rate for their relatively abundant water resources. Consequently, there is an urgent need for efficient mark-recapture technologies to understand and assess the impacts of human developments on the movement ecology of tropical freshwater fish species. This paper discusses the development of an optimal protocol for PIT tagging tropical freshwater fishes, using two Mekong River species - Striped catfish (

Indexed as

Flexible passive integrated transponderGoldfin tinfoil barbsMark-recapture techniquesMekong RiverPIT tagging protocols for tropical freshwater speciesStriped catfish

Identifiers

PMID30046516
PMCPMC6056705
OpenAlexW2796074004

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.