Evidence map›Paper›PMID 35789576›Full record

ArticleEvolution2022

Luan Pinto Rabelo, Davidson Sodré, Marcelo Soares Dos Santos, Caio César Silva Lima, Stephen F Ferrari, Iracilda Sampaio, Marcelo Vallinoto

Open access · goldAbstract read
In one paragraph

Article in Evolution, 2022. 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
0.6field-weighted citation impact, top 29% 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, 6 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 3 institutions in 2 countries.

Luan Pinto RabeloLaboratório de Evolução, IECOS, Universidade Federal do Pará, Campus de Bragança, Bragança, Brazil.
Davidson SodréLaboratório de Evolução, IECOS, Universidade Federal do Pará, Campus de Bragança, Bragança, Brazil.
Marcelo Soares Dos SantosUniversidade Federal do Maranhão, Campus Bom Jesus, Imperatriz, Brazil.
Caio César Silva LimaUniversidade Federal do Maranhão, Campus Bom Jesus, Imperatriz, Brazil.
Stephen F FerrariLaboratório de Ecologia da Conservação, Universidade Federal de Sergipe, São Cristovão, Brazil.
Iracilda SampaioLaboratório de Evolução, IECOS, Universidade Federal do Pará, Campus de Bragança, Bragança, Brazil.
Marcelo VallinotoLaboratório de Evolução, IECOS, Universidade Federal do Pará, Campus de Bragança, Bragança, Brazil.
Universidade Federal do Pará · BRUniversidade Federal do Maranhão · BRUniversidade Federal de Sergipe · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intelligent Personal Assistants (IPAs), such as Amazon's Alexa, are now widely used for an ample variety of tasks, ranging from personal management to education. These tools have shown considerable promise for student-educator interactions, especially at a distance, a potential that has come to the forefront during the ongoing COVID-19 pandemic. Even so, this potential is still underexploited, even in the current scenario. Alexa's apps are known as skills, which include all the different commands that Alexa is capable of executing. It is important to note, however, that the use of such technology is work-intensive and can be relatively complex. Given this, to facilitate the development of new skills in Alexa, we have developed an online tool that permits the creation of questions and answers, as well as honing the interaction between Alexa and the user. We have named this tool Supplementary Information: The online version contains supplementary material available at 10.1186/s12052-022-00169-z.

Indexed as

EvolutionIntelligent personal assistantsSocial isolationTeaching

Identifiers

PMID35789576
PMCPMC9244306
OpenAlexW4283590943

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.