Evidence map›Paper›PMID 32384687›Full record

ArticleVeterinary sciences2020

Using Manual and Computer-Based Text-Mining to Uncover Research Trends for

Esmaeil Amiri, Prashant Waiker, Olav Rueppell, Prashanti Manda

Abstract read
In one paragraph

Article in Veterinary sciences, 2020. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Honey Bee Health.Veterinary sciences · 2021
    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

4 authors.

Esmaeil AmiriDepartment of Biology, University of North Carolina at Greensboro, Greensboro, NC 27402, USA.ORCID 0000-0001-8536-5815
Prashant WaikerDepartment of Biology, University of North Carolina at Greensboro, Greensboro, NC 27402, USA.ORCID 0000-0003-0048-4896
Olav RueppellDepartment of Biology, University of North Carolina at Greensboro, Greensboro, NC 27402, USA.ORCID 0000-0001-5370-4229
Prashanti MandaDepartment of Computer Science, University of North Carolina at Greensboro, Greensboro, NC 27402, USA.ORCID 0000-0002-7162-7770

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Honey bee research is believed to be influenced dramatically by colony collapse disorder (CCD) and the sequenced genome release in 2006, but this assertion has never been tested. By employing text-mining approaches, research trends were tested by analyzing over 14,000 publications during the period of 1957 to 2017. Quantitatively, the data revealed an exponential growth until 2010 when the number of articles published per year ceased following the trend. Analysis of author-assigned keywords revealed that changes in keywords occurred roughly every decade with the most fundamental change in 1991-1992, instead of 2006. This change might be due to several factors including the research intensification on the

Indexed as

Apis melliferacolony collapse disordergenomicshoney bee healthtext-miningtopic modelingVarroa mite

Identifiers

PMID32384687
PMCPMC7356030

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.