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Add method for affiliation analysis #35
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One of the things we've gotten critiqued over is grouping countries. I don't think the critique undercuts the primary message of the paper, but I think we might get a lot of mileage out of a table that breaks down results by country. This was infeasible with names, but should be feasible with affiliations. I'm imagining a table with the product of literature fraction * number of honorees compared against the actual number of honorees from that country. |
Yes, I think a country enrichment / depletion analysis would be really helpful and more fine-grained then regions. However, I it would be best to proceed with this PR as is, and decide to replace the region-affiliation analyses later. I'll review line-by-line now. |
content/10.methods.md
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Along with the corresponding author names, we collected their affiliations recorded in each publication for this analysis. | ||
During the honoree curation process, if an honoree was listed with their affiliation at the time, we recorded this affiliation for analysis. | ||
Because we could not find affiliations for the 1997 and 1998 RECOMB keynote speakers' listed for these years, they were left blank. | ||
We used the [standard world geographical mapping](https://raw.githubusercontent.com/greenelab/iscb-diversity/b41b8fad157d0b878a2476cec998aba0643742bf/figs/2020-01-31_natural-earth-world-map.png) from the R package `rnaturalearth` to group the countries of affiliation in seven different regions: North America, Europe & Central Asia, East Asia & Pacific, Latin America & Caribbean, South Asia, Middle East & North Africa and Sub-Saharan Africa. |
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I can't find anything online for "standard world geographical mapping". Tracking the data back its from the region_wb
column of data/countries/world-map.tsv
. Sounds like this is from Natural Earth. I'll look for some documentation of region_wb
that we can point to... basically who makes it and via what criteria / what region_wb
is defined as.
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I agree that we need to source the mapping.
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I had a few suggested changes. I am not confident in the wording of all of them, so please take a careful look :)
content/10.methods.md
Outdated
Along with the corresponding author names, we collected their affiliations recorded in each publication for this analysis. | ||
During the honoree curation process, if an honoree was listed with their affiliation at the time, we recorded this affiliation for analysis. | ||
Because we could not find affiliations for the 1997 and 1998 RECOMB keynote speakers' listed for these years, they were left blank. | ||
We used the [standard world geographical mapping](https://raw.githubusercontent.com/greenelab/iscb-diversity/b41b8fad157d0b878a2476cec998aba0643742bf/figs/2020-01-31_natural-earth-world-map.png) from the R package `rnaturalearth` to group the countries of affiliation in seven different regions: North America, Europe & Central Asia, East Asia & Pacific, Latin America & Caribbean, South Asia, Middle East & North Africa and Sub-Saharan Africa. |
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I agree that we need to source the mapping.
Co-Authored-By: Casey Greene <[email protected]>
Co-Authored-By: Casey Greene <[email protected]>
Co-Authored-By: Casey Greene <[email protected]>
Co-Authored-By: Casey Greene <[email protected]>
Co-Authored-By: Casey Greene <[email protected]>
Co-Authored-By: Casey Greene <[email protected]>
Co-Authored-By: Casey Greene <[email protected]>
Co-Authored-By: Casey Greene <[email protected]>
Affiliation analysis html now updated by this commit. |
I think that would be a good idea. I feel like the country level analysis addresses a lot of the concerns that have been raised by Iddo in #27 and others. |
OK I'm happy to close this issue and open a new one if that's easiest for everyone! Or we can merge to keep part of the Methods section and I'll make another PR to change what we want to focus on in the Results. |
Well, the methods changes would apply regardless except for the bit about grouping. What do you think about keeping those changes and dropping the changes to the results. The results changes with a country-level analysis could be added by a separate pull request. We could then go ahead and merge this if we wanted to (I'm more comfortable merging methods before results than vice versa) or hold on until they're both ready and merge about the same time. |
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Looks good!
Co-Authored-By: Casey Greene <[email protected]>
[ci skip] This build is based on 47bd038. This commit was created by the following CI build and job: https://github.com/greenelab/iscb-diversity-manuscript/commit/47bd0382a2c1be780a6bd621c3d9d84127946f65/checks https://github.com/greenelab/iscb-diversity-manuscript/runs/55258909
[ci skip] This build is based on 47bd038. This commit was created by the following CI build and job: https://github.com/greenelab/iscb-diversity-manuscript/commit/47bd0382a2c1be780a6bd621c3d9d84127946f65/checks https://github.com/greenelab/iscb-diversity-manuscript/runs/55258909
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