Related Experiment Video
Updated: Jun 10, 2026
05:02
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
Mary Main's written legacy: a bibliometric analysis
Carlo Schuengel1, Lianne Bakkum1, Sheri Madigan2
1Clinical Child and Family Studies, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Attachment & Human Development
|July 11, 2024
Summary
Mary Main's research significantly advanced attachment theory, influencing clinical psychology and developmental studies. Her work, cited over 7,000 times, highlights key areas like early relationships and trauma.
Area of Science:
- Psychology
- Developmental Psychology
- Clinical Psychology
Background:
- Mary Main's seminal contributions have profoundly shaped attachment research.
- This study quantifies the scientific impact of her published and unpublished works.
Observation:
- 85 of Main's works were identified, receiving 7,571 citations from 13,398 authors.
- Citing works focused on clinical psychology, early relationships, romantic attachment, trauma, and the Adult Attachment Interview.
Findings:
- Co-citation analysis places Main alongside key figures in developmental psychopathology, child development, and infant mental health.
- Her work is strongly associated with psychodynamic theorizing and parent-child relationships.
Implications:
- The "move to the level of representation" is a key concept impacting attachment research.
- Fostering new research collaborations is crucial to fully utilize Main's theoretical and methodological contributions to the field.
Related Concept Videos
01:35Pedigree Analysis
Overview
01:22MicroRNAs
MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA ends...
01:29Life Histories
Constrained by limited energy and resources, organisms must compromise between offspring quantity and parental investment. This trade-off is represented by two primary reproductive strategies; K-strategists produce few offspring but provide substantial parental support, whereas r-strategists produce much progeny that receives little care. These strategies are related to an organism’s survival likelihood across its lifespan, which is represented by a survivorship curve. Three general types of...
01:09Synaptic Signaling
Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
Most synapses are chemical, meaning an electrical impulse or action potential spurs the release of chemical messengers called neurotransmitters. The neuron sending the signal is called the presynaptic neuron, and the neuron receiving the signal is the postsynaptic neuron.
The presynaptic neuron fires an action potential that...
Most synapses are chemical, meaning an electrical impulse or action potential spurs the release of chemical messengers called neurotransmitters. The neuron sending the signal is called the presynaptic neuron, and the neuron receiving the signal is the postsynaptic neuron.
The presynaptic neuron fires an action potential that...
01:22MicroRNAs
MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...
01:11Statistical Analysis: Overview
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...