When it comes to citations, articles with an institutional email address received more than double the number of citations, than those with a non-institutional email address.
According to Times Higher Education (THE), the research influence indicator looks at universities’ role in spreading new knowledge and ideas. They examine research influence by capturing the average number of times a university’s published work is cited by scholars globally.
Citations (research influence) are assigned 30% out of the 100% earnable points for a university to be ranked among the top universities in the world - The Times Higher Education World University Rankings (THE-WUR).
The citations help to show how much each university is contributing to the sum of human knowledge: they tell us whose research has stood out, has been picked up and built on by other scholars, and, most importantly, has been shared around the global scholarly community to expand the boundaries of our understanding, irrespective of discipline.
In 2016-17, THE-WUR designed a method for reincorporating papers. Working with Elsevier, THE-WUR developed a fractional counting approach that ensures that all universities where academics are authors of these papers will receive at least 5 percent of the value of the paper, and where those that provide the most contributors to the paper receive a proportionately larger contribution.
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Most academic scholars in Nigerian universities and institutions cannot explain or understand the causes responsible for low citations or references on some of their preeminent research works, after a period of time, post-publication.
The same scholar may have come across related publications by other scholars, perhaps outside or within the same region, having about the same high-quality work, but with overwhelming recognition, high citations, or references, and this pattern has been observed over time, in different circumstances.
Let’s take a step-by-step approach to demystify this concept. Irrespective of the location or journal system a scholar publishes on, a user will first type some “keywords” of interest into a search bar and afterward hit the search button, in order to get results on the “keywords” entered, this is called information retrieval.
The number of relevant documents retrieved by a search divided by the total number of existing relevant documents is called recall, while precision is the number of relevant documents retrieved by a search divided by the total number of documents retrieved by that search.
Credibility and reputation are core to search ranking, and ranking systems in general when retrieving information. This could be interpreted as a scholar’s credibility and/or a university’s reputation, or vis-a-vis. This similar approach is identical to something real humans also use for evaluation and making judgment calls.
A system built for users to retrieve information or content will prioritize certification of valid identity, credibility, and reputation of the content provider(s) first.
Combining and relying on multiple metrics, including an institution under which the content provider might have produced such work, to arrive at a justified decision - trustworthiness.
The best way for an ideal system to remember a previous decision made, irrespective of the period of time regarding an individual (using a non-institutional email) or an academic scholar (using an institutional email), is to assign a score to benchmark the decision for future reference.
The size or weight assigned to a decision is the appropriate measure of credibility and reputation, the individual (using a non-institutional email), or an academic scholar (using an institutional email), has earned, using the same evaluation criteria for everyone.
It is easier to understand what influences a system’s ranking decision, and ultimately the system’s interpretation and definition of “content relevance”, because it is contextual, and also subjective.
Two (2) identical articles could be published in the same journal system, with equal preeminent research-work ratings, and both could be interpreted differently, as a result of categorization of an email address identity.
The logic behind the notion of credibility and reputation, in relation to content relevance, is that content relevance is justified after credibility and reputation are determined, not before it.
This is one (1) of the major reasons why “domain reputation” is an important topic in technology today.
In summary - “when it comes to citations, articles with an institutional email address received more than double the number of citations, than those with a non-institutional email address.”
Rousseau, Ronald (2018) Institutional versus commercial email addresses: which one to use in your publications? Impact of Social Sciences Blog (21 Jun 2018).
http://eprints.lse.ac.uk/90738/1/Rousseau_Institutional-versus-commercial_Author.pdf
More options for learning with Google Workspace for Education
https://www.blog.google/outreach-initiatives/education/google-workspace-for-education
I hope this was informative.
Thank you.
Aderogba Otunla.
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