The start and end dates of search results are important parameters when performing periodic MLM. When searching for articles there are two important dates to consider:
The publication date of an article - the date the article was published, according to the source journal.
The date an article becomes visible in a database - ie. the article's indexation date, or "first seen" date.
For example, an article may be published by a journal today, but it may be a few days or weeks before it enters the PubMed database and is visible on search results. Note however the publication date remains unchanged.
The diagram below illustrates the effects of this publication delay: a weekly search strategy that uses only the publication date could miss this article entirely.
To address this issue, MLM-AI always searches articles using the "first seen date" at the source repository. This ensures that the article is retrieved if it first appeared in the source within the date range required, even in cases where a publication is delayed in being indexed.
In addition, MLM-AI provides monitoring configuration options to fine-tune the strategy:
Include abstracts found by publication date - searches the same date range matching the publication date. This option is useful to maintain correspondence to existing manual search strategies.
Discard publication dates older than 60 days - if the difference of an article first seen date and publication date is older than 60 days, results are discarded. This option is useful to avoid spurious results from "blanket" publication of journals going back many years.