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Describe the solution you'd like
This would allow you to for example see:
the most popular/used/important/constructive/central journals on Wikipedia (to some degree also in general) for a specific scientific field that is also a Wikipedia category and
stats visualizing changes over time and/or other things
such stats on the Scholia pages for the journals (for example to identify the different focuses/specialization of different journals)
*not just because this data may be "polluted" – for example with references in templates that are used in many pages or were added routinely by a bot, reducing the meaningfulness / invalidating the stats
Later on this could be improved with things like semantically evaluating the references similar to (or using) scite.ai (see also #1888) – this would allow you to cleanse the data a bit to address the issue mentioned above and to take into account that some references are only used for something trivial / minor while other references (each a review or paper) are covering lengthy statements with lots of substance in terms of meaning.
There are many use-cases that can be built or improved with this over time – this data becomes far more useful when integrated into Scholia.
Describe alternatives you've considered
Maybe this puts to much focus on journals. That wasn't my intention – it's just because that's the data that's available and more similar things could also be added later on.
Additional context
It could be a successor to Wikipedia-Cite-o-Meter and/or enable its revival.
I don't think this is currently an important issue but given that this data is already there, it may not the be too difficult to add it despite having quite some potential for usefulness.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
It would be nice if this data was integrated into Scholia: https://en.wikipedia.org/wiki/Wikipedia:WikiProject_Academic_Journals/Journals_cited_by_Wikipedia
Describe the solution you'd like
This would allow you to for example see:
https://en.wikipedia.org/wiki/Wikipedia:WikiProject_Academic_Journals/Journals_cited_by_Wikipedia/Popular1 only show journals most popular in Wikipedia overall but this isn't really useful*, it would more interesting to see how it looks like for https://en.wikipedia.org/wiki/Category:Agriculture or https://en.wikipedia.org/wiki/Category:Types_of_neoplasia for example and I don't know if the data available there currently suffices for this (it could get improved later on after it's embedded in a more general way).
*not just because this data may be "polluted" – for example with references in templates that are used in many pages or were added routinely by a bot, reducing the meaningfulness / invalidating the stats
Later on this could be improved with things like semantically evaluating the references similar to (or using) scite.ai (see also #1888) – this would allow you to cleanse the data a bit to address the issue mentioned above and to take into account that some references are only used for something trivial / minor while other references (each a review or paper) are covering lengthy statements with lots of substance in terms of meaning.
There are many use-cases that can be built or improved with this over time – this data becomes far more useful when integrated into Scholia.
Describe alternatives you've considered
Maybe this puts to much focus on journals. That wasn't my intention – it's just because that's the data that's available and more similar things could also be added later on.
Additional context
It could be a successor to Wikipedia-Cite-o-Meter and/or enable its revival.
Please see the discussion there for a few more details: wpoa/Wikipedia-Cite-o-Meter#12
See also: #1955
Here is a recent study about something related: "Dataset of first appearances of the scholarly bibliographic references on Wikipedia articles" in case this is relevant, or you're looking for inspiration for similar things one could add or use-cases of this.
I don't think this is currently an important issue but given that this data is already there, it may not the be too difficult to add it despite having quite some potential for usefulness.
The text was updated successfully, but these errors were encountered: