Evidence map›Paper›PMID 35558165›Full record

ArticleFrontiers in research metrics and analytics2022

Connecting Scientometrics: Dimensions as a Route to Broadening Context for Analyses.

Simon J Porter, Daniel W Hook

Open access · goldAbstract read
In one paragraph

Article in Frontiers in research metrics and analytics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. The Dimensions API: a domain specific language for scientometrics research.Frontiers in research metrics and analytics · 2025
    Article
  2. Article
  3. An overview of Frontiers in Research Metrics and Analytics.Frontiers in research metrics and analytics · 2024
    Article
  4. Responsible models and indicators: challenges from artificial intelligence.Frontiers in research metrics and analytics · 2023
    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

2 authors at 2 institutions in 2 countries.

Simon J PorterDigital Science, London, United Kingdom.
Daniel W HookDigital Science, London, United Kingdom.
Digital Science (United Kingdom) · GBImperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modern cloud-based data infrastructures open new vistas for the deployment of scientometric data into the hands of practitioners. These infrastructures lower barriers to entry by making data more available and compute capacity more affordable. In addition, if data are prepared appropriately, with unique identifiers, it is possible to connect many different types of data. Bringing broader world data into the hands of practitioners (policymakers, strategists, and others) who use scientometrics as a tool can extend their capabilities. These ideas are explored through connecting Dimensions and World Bank data on Google BigQuery to study international collaboration between countries of different economic classification.

Indexed as

bibliometricscloudcontextual dataDimensionsGoogle BigQueryscientometricsunique identifierWorld Bank data

Identifiers

PMID35558165
PMCPMC9087033
OpenAlexW4225315072

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.