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Thanks for the suggestion. That does seem useful in cases of long reference lists, but not so much for the average BibBase user who uses it to list their own publication. That said, we'll look into what it would take. Can you point us to that page of yours with the 6000 references so we can use that as an example to consider?
There seems to be some funny CSS rules on your page (in style.css) that dictate a margin-top:
@media only screen and (min-width: 721px) img { border-radius: 5%; height: auto; margin-top: 8%; max-width: 75%; }
@media only screen and (min-width: 721px) img { border-radius: 5%; height: auto; margin-top: 8%; max-width: 75%; }
When I disable that margin-top, it renders correctly.
Not sure whether you can remove that rule in your style.css, if not then you should still be able to overwrite it by adding:
img.bibbase_icon {
margin-top: 0px;
}
Does that work?
Mike, thanks for suggesting this, we finally got around fixing it and I agree, it makes things a lot easier to read.
We just added a new feature to make it possible to share and bookmark a pre-selection. Please find the "shareable link" on the left hand side of the page. Here is an example link to see some counties in California. Thanks for the suggestion, Sly and Brian!
There currently is for countries (manually), but not for states and counties. For countries you can just add a url parameter "?countries=LIST_OF_COUNTRIES_SEPERATED_BY_COMMA", and to enable log-scale you can add log=1, for instance, https://bibbase.org/other/covid-19?countries=Germany,US&log=1.
I like your idea though of making it such that the selection can be saved easily. I'll see whether we can add that.
I don't know. This is how the name is written in the JHU data.
We just pushed an update that includes a new button to make the graph a lot bigger. Thanks to everyone who suggested that.
Thanks for the great suggestions! We just pushed an update with the option to make the graph a lot bigger. More to come.
Служба підтримки клієнтів працює на UserEcho
Great suggestions! Just added 1 and 1.2, which were easy. Still need to collect population data to do 2.