This Julia module retrieves publication data using a article's digital object identifier from a vareity of open APIs and formats it as a data frame.
Load the module:
include("./Altmetric.jl")
using .Altmetric
Create a vector of dois to search for:
doi = ["10.1163/22134913-bja10046", "10.2190/EM.32.2.g"]
Get data from the Altmetric v1 API as a data frame:
result = altmetric(doi)
The result is a data frame sorted with one row per DOI.
| doi | added_on | altmetric_id | authors_1 | cited_by_accounts_count | cited_by_posts_count | cited_by_tweeters_count | cohorts.pub | cohorts.sci |
|---|---|---|---|---|---|---|---|---|
| 10.1163/22134913-bja10046 | 1675345251 | 142074585 | Nick Redfern | 4 | 4 | 4 | 3 | 1 |
| 10.2190/em.32.2.g | 1539699447 | 49769950 | Nick Redfern | 1 | 1 |
The number of columns will vary according to the Altmetric data available for an article and so Altmetric.jl will add empty cells when under a column when an article has missing values.
Get data from the Unpaywall v2 API as a data frame:
Unpaywall asks that users be polite and include an email address in their requests. The function wonlt work unless youn include an email address.
result = unpaywall(doi, "[email protected]")
The result is a data frame sorted with one row per DOI.
| doi | best_oa_location.endpoint_id | best_oa_location.evidence | best_oa_location.host_type | best_oa_location.is_best | best_oa_location.license |
|---|---|---|---|---|---|
| 10.1163/22134913-bja10046 | NA | open (via free pdf) | publisher | true | NA |
| 10.2190/em.32.2.g | NA | NA | NA | NA | NA |
missing and nothing values will be replaced with the string NA.
I'll add some more bibliometric endpoints (e.g., Crossref events) as I come across them.