Evidence map›Paper›PMID 31396767›Full record

ArticleEnvironmental monitoring and assessment2019

Water vapor flux in tropical lowland rice.

Dibyendu Chatterjee, Amaresh Kumar Nayak, S Vijayakumar, Manish Debnath, Sumanta Chatterjee, Chinmaya Kumar Swain, Priyanka Bihari, S Mohanty, Rahul Tripathi, Mohammad Shahid and 2 more

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2019. 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
–field-weighted citation impact
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.

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

12 authors.

Dibyendu ChatterjeeDivision of Crop Production, National Rice Research Institute, -753006, Cuttack, Odisha, India.
Amaresh Kumar NayakDivision of Crop Production, National Rice Research Institute, -753006, Cuttack, Odisha, India. aknayak20@yahoo.com.ORCID http://orcid.org/0000-0002-2257-3243
S VijayakumarDivision of Crop Production, National Rice Research Institute, -753006, Cuttack, Odisha, India.
Manish DebnathDivision of Crop Production, National Rice Research Institute, -753006, Cuttack, Odisha, India.
Sumanta ChatterjeeDivision of Crop Production, National Rice Research Institute, -753006, Cuttack, Odisha, India.
Chinmaya Kumar SwainDivision of Crop Production, National Rice Research Institute, -753006, Cuttack, Odisha, India.
Priyanka BihariDivision of Crop Production, National Rice Research Institute, -753006, Cuttack, Odisha, India.
S MohantyDivision of Crop Production, National Rice Research Institute, -753006, Cuttack, Odisha, India.
Rahul TripathiDivision of Crop Production, National Rice Research Institute, -753006, Cuttack, Odisha, India.
Mohammad ShahidDivision of Crop Production, National Rice Research Institute, -753006, Cuttack, Odisha, India.
Anjani KumarDivision of Crop Production, National Rice Research Institute, -753006, Cuttack, Odisha, India.
H PathakDivision of Crop Production, National Rice Research Institute, -753006, Cuttack, Odisha, India.

Funding

Indian Council of Agricultural Research NA
6 · The paper itself

Abstract

A field experiment was conducted at Indian Council of Agricultural Research-National Rice Research Institute, Cuttack, Odisha, India in the dry seasons of 2015 and 2016 to assess the water vapor flux (FH

Indexed as

AgricultureCarbon CycleCarbon DioxideEcosystemEnvironmental MonitoringIndiaOryzaPrincipal Component AnalysisSeasonsSoilSteamTemperatureWaterCarbon DioxideSoilSteamWaterEddy covarianceNet ecosystem exchange of carbon dioxidePrincipal component analysisWater vapor flux

Identifiers

PMID31396767

What OpenQuestion holds

Textmetadata
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.