Evidence map›Paper›PMID 34306605›Full record

ArticleMethods in ecology and evolution2018

GRAPHITE: A Graphical Environment for Scalable

B J Rossetti, T Dynes, B Brosi, J C de Roode, J Kong

Open access · bronzeAbstract read
In one paragraph

Article in Methods in ecology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 13% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 2 institutions in 1 country.

B J RossettiDepartment of Biomedical Informatics, Emory University, Atlanta, GA, 30322, USA.
T DynesDepartment of Biology, Emory University, Atlanta, GA, 30322, USA.
B BrosiDepartment of Environmental Sciences, Emory University, Atlanta, GA, 30322, USA.
J C de RoodeDepartment of Biology, Emory University, Atlanta, GA, 30322, USA.
J KongDepartment of Biomedical Informatics, Emory University, Atlanta, GA, 30322, USA.
Emory University · USGeorgia Institute of Technology · US

Funding

US-UK Collab: Understanding the effects of spatial structure on the evolutionR01GM109501 · NIGMS · EMORY UNIVERSITY · PI DE ROODE, JACOBUS · 2013 to 2017
$1.7M
NIGMS NIH HHS R01 GM109501
6 · The paper itself

Abstract

1. Methods for measuring animal movement are critical for understanding numerous ecological and evolutionary processes. However, few methods are available for small organisms, and even fewer methods offer consistent individual-level resolution while remaining affordable, scalable and operable in the field. 2. We describe a low-cost animal movement tracking method with a user-friendly graphical interface, called GRAPHITE. Our automated software can quantify motions of insects by offline video analysis of inexpensive and lightweight human-readable tags attached to individual insects. The integrated graphical editor provides a full-featured environment for users to review the generated tracking data and make individual- or group-level edits. 3. GRAPHITE is a novel video analysis and graphical editing software (MATLAB v.9.0.0+) that identifies tags in image frames with a minimal false negative rate, links sequences of corresponding tags into "tracks" for each individual insect, infers the tag identifier, and provides a user-friendly graphical environment for editing tracking data. Users can either batch process raw video data using the full analysis pipeline or execute GRAPHITE modules independently for a tailored analysis. 4. We demonstrate the efficacy of the developed software with a specific application to the movement of honey bees at the entrance of hives. However, this system can be easily modified to track individually marked insects of 3 mm and larger. A notable advantage of this method is its ability to provide easy access to individual-level tracking data using human-readable tags.

Indexed as

beescomputer visionmonitoringtaggingtrackingvideo analysis

Identifiers

PMID34306605
PMCPMC8302204
OpenAlexW2771893744

What OpenQuestion holds

Textmetadata
LicenceTDM
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.