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rossmounce / Elsevier's Diamond OA Conference Day 2.txt
Created Apr 14, 2021
Elsevier's Diamond OA Conference Day 2 notes.txt
View Elsevier's Diamond OA Conference Day 2.txt
Talk 1: Abel Packer, SciELO
92/298 SciELO journals now charge an APC
at article level 22037 articles in total for 2020(?)
42% in APC journals, 58% in non-APC journals
by the end of the year over 50% of the articles will be in APC-charging SciELO journals
SciELO is 'neutral' with regard to journal sustainability model (e.g. APC or non-APC).
@rossmounce
rossmounce / Elsevier's Diamond OA Conference Day 1.txt
Last active Apr 15, 2021
Brief notes on some of the talks and attendees of Elsevier's 2021 Diamond OA Conference Day One
View Elsevier's Diamond OA Conference Day 1.txt
JG Bankier (JGB) highlights an article from a Bepress journal called "The Cat is Out of the Bag: Orientalism, Anti-Blackness,
and White Supremacy in Dr. Seuss's Children's Books" https://sophia.stkate.edu/rdyl/vol1/iss2/4/
PlumX metrics indicate this article been downloaded over 300,000 times. It featured in many news stories.
JGB's tips:
1.) Publish regularly
2.) "Google indexing is critical"
3.) "Important to have accurate reporting and readership tools" [so you can see and demonstrate readership]
@rossmounce
rossmounce / message
Created Jan 6, 2020
My email to the ECOLOG-L mailing list
View message
Date: Fri, 20 Dec 2019 22:05:03 +0000
Message-ID: <CAJr+OEyZ6kYp=5vLqsEk6CqmYCSNCOMbQrGqT5rnHZ98Fpqzbg@mail.gmail.com>
Subject: Why is ESA lobbying against immediate access to federally funded research?
From: Ross Mounce <ross.mounce@gmail.com>
To: ECOLOG-L@community.esa.org
Content-Type: multipart/alternative; boundary="000000000000b46a71059a29dec3"
--000000000000b46a71059a29dec3
Content-Type: text/plain; charset="UTF-8"
View crossref-retractions.R
install.packages('rcrossref')
install.packages('dplyr')
library(rcrossref)
library(dplyr)
# "total-results": 2309
# Crossref http://api.crossref.org/works?filter=update-type:retraction
# fyi the Retraction Watch database has many more 18969 "Retraction or Other Notices"
@rossmounce
rossmounce / OA-Nobel-with-rorcid-and-roadoi.R
Last active Jul 14, 2017
How many freely accessible works do Nobel prize winners have?
View OA-Nobel-with-rorcid-and-roadoi.R
install.packages('rorcid')
install.packages('roadoi')
library(roadoi)
library(rorcid)
#Example ORCID given is that of Carol Greider, American molecular biologist
an.ORCID.ID <- "0000-0002-5494-8126"
#This step gets all works publicly known to ORCID to be associated to this person
out <- works(orcid_id(your.ORCID.ID))
View nested_taxa.Rmd
```{r, echo=FALSE}
knitr::opts_knit$set(upload.fun = knitr::imgur_upload, base.url = NULL)
```
# and now, all animals and with nested taxonomic ranks
So, a few people liked [this example](https://gist.github.com/dwinter/8d7bde0579daf7466508)
of using `rentrez` to investigate the taxonomic distribution of sequences in
Genbank. I though it might be fun to extend it a little. Specifically:
@rossmounce
rossmounce / bryprunedultra.tre
Last active Mar 16, 2017
Reproducing an error when trying to calculate Blomberg's K for a large 11499 tip tree
View bryprunedultra.tre
(((Coleochaete:212.07930099999998674,Chaetosphaeridium:212.07930099999998674):163.33424199999998905,((Nitella:73.024890999999996666,Tolypella:73.024890999999996666):16.564201000000000619,((Lamprothamnium:10.743121999999999616,Chara:10.743121999999999616):28.257583000000000339,(Lychnothamnus:14.391325999999999397,Nitellopsis:14.391325999999999397):24.609379000000000559):50.588388000000001909):285.82445000000001301):494.6687610000000177,(((((Isoetes:156.72701000000000704,Selaginella:156.72701000000000704):27.453109999999998792,((Lycopodiella:34.541863999999996793,(Diphasiastrum:10.702004000000000516,Lycopodium:10.702004000000000516):23.839860000000001605):21.710502999999999219,Huperzia:56.252366999999999564):127.92775199999999813):232.42645099999998592,(((Danaea:46.076124999999997556,(Christensenia:21.918482999999998384,(Marattia:15.249475999999999587,(Archangiopteris:4.3772560000000000358,Angiopteris:4.3772560000000000358):10.872220000000000439):6.6690069999999996853):24.157641999999999172):338.698598000000004
View checking-Wellcome-DOIs.R
#!/usr/bin/env Rscript
#install.packages("dplyr")
#install.packages("httr")
library(dplyr, warn.conflicts=FALSE)
library(httr)
uniquedois <- read.csv(file="wellcomeDOIs.txt",header=F,stringsAsFactors = F)
uniquedois <- as.data.frame(uniquedois)
vec <- vector("list",length(uniquedois$V1))
for (doi in (seq(1,length(uniquedois$V1)))){
vec[doi] <- try(http_status(GET(uniquedois$V1[doi], timeout(6), user_agent("Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.0; Trident/5.0; Trident/5.0)")))$message)
View cmd console
Microsoft Windows [Version 6.3.9600]
(c) 2013 Microsoft Corporation. All rights reserved.
C:\Users\jing>npm install --global getpapers
npm ERR! Windows_NT 6.3.9600
npm ERR! argv "C:\\Program Files\\nodejs\\node.exe" "C:\\Program Files\\nodejs\\
node_modules\\npm\\bin\\npm-cli.js" "install" "--global" "getpapers"
npm ERR! node v6.9.2
npm ERR! npm v3.10.9
npm ERR! file C:\Users\jing\AppData\Roaming\npm-cache\supports-color\1.3.1\packa
@rossmounce
rossmounce / latlongs.csv
Created May 24, 2016
Test lat long data for Ropensci question on making reverse geocoding more efficient/speedier
View latlongs.csv
10.38333 98.85
12.08 99.02
13.42306 101.94194
13.61222 104.04528
14.28 99.25
14.43333 101.36667
14.5 101
14.5 104
15.37 100.34
16.04611 99.23