Developmental Dyscalculia (DD) is a learning disorder affecting the ability to acquire school-level
arithmetic skills, affecting approximately 3-6% of individuals. Progress in understanding the root causes
of DD and how best to treat it have been impeded by lack of widespread research and variation in
characterizations of the disorder across studies. However, recent years have witnessed significant growth
in the field, and a growing body of behavioral and neuroimaging evidence now points to an underlying
deficit in the representation and processing of numerical magnitude information as a potential core
deficit in DD. An additional product of the recent progress in understanding DD is the resurgence of a
distinction between ‘primary’ and ‘secondary’ developmental dyscalculia. The first appears related to
impaired development of brain mechanisms for processing numerical magnitude information, while the
latter refers to mathematical deficits stemming from external factors such as poor teaching, low socioeconomic status, and behavioral attention problems or domain-general cognitive deficits. Increased
awareness of this distinction going forward, in combination with longitudinal empirical research, offers
great potential for deepening our understanding of the disorder and developing effective educational
interventions.

This guide has been created by bibliometric practitioners to support other users of InCites, a research analytics tool from Clarivate Analytics that uses bibliographic data from Web of Science; the guide promotes a community of informed and responsible use of research impact metrics. The recommendations in this document may be more suited to other academic sector users, but the authors hope that other users may also benefit from the suggestions. The guide aims to provide plain-English definitions, key strengths and weaknesses and some practical application tips for some of the most commonly-used indicators available in InCites. The indicator definitions are followed by explanations of the data that powers InCites, attempting to educate users on where the data comes from and how the choices made in selecting and filtering data will impact on final results. Also in this document are a comparative table to highlight differences between indicators in InCites and SciVal, another commonly used bibliometric analytic programme, and instructions on how to run group reports. All of the advice in this document is underpinned by a belief in the need to use InCites in a way that respects the limitations of indicators as quantitative assessors of research outputs. Both of the authors are members of signatory institutions of DORA, the San Francisco Declaration on Research Assessment. A summary of advice to using indicators and bibliometric data responsibly is available on pages 4-5 and should be referred to throughout. Readers are also recommended to refer to the official InCites Indicators Handbook produced by Clarivate Analytics. The guide was written with complete editorial independence from Clarivate Analytics, the owners of InCites. Clarivate Analytics supported the authors of this document with checking for factual accuracy only.