Evidence map›Paper›PMID 30753480›Full record

ArticleDatabase : the journal of biological databases and curation2019

Increased interactivity and improvements to the GigaScience database, GigaDB.

Si Zhe Xiao, Chris Armit, Scott Edmunds, Laurie Goodman, Peter Li, Mary Ann Tuli, Christopher Ian Hunter

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

7 authors.

Si Zhe XiaoBGI-Hong Kong, GigaScience.
Chris ArmitBGI-Hong Kong, GigaScience.
Scott EdmundsBGI-Hong Kong, GigaScience.
Laurie GoodmanBGI-Hong Kong, GigaScience.
Peter LiBGI-Hong Kong, GigaScience.
Mary Ann TuliBGI-Hong Kong, GigaScience.
Christopher Ian HunterBGI-Hong Kong, GigaScience.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With a large increase in the volume and type of data archived in GigaScience Database (GigaDB) since its launch in 2011, we have studied the metrics and user patterns to assess the important aspects needed to best suit current and future use. This has led to new front-end developments and enhanced interactivity and functionality that greatly improve user experience. In this article, we present an overview of the current practices including the Biocurational role of the GigaDB staff, the broad usage metrics of GigaDB datasets and an update on how the GigaDB platform has been overhauled and enhanced to improve the stability and functionality of the codebase. Finally, we report on future directions for the GigaDB resource.

Indexed as

Databases, FactualDatabases, GeneticData CurationInternetTime Factors

Identifiers

PMID30753480
PMCPMC6376146

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.