Description Usage Arguments Details Value
scilist
ranks papers according to different metrics. The metric is
determined by the argument 'reading_list'.
1 | scilist(scimeetr_data, reading_list = "core_papers", k = 5, m = 3)
|
scimeetr_data |
An object of class 'scimeetr' |
reading_list |
A vector of length one. Equal to either: 'core_papers', 'core_yr', 'core_residual', 'by_expert_LC', 'by_expert_TC', 'group_of_experts_TC', 'group_of_experts_LC', 'cite_most_others', 'direct_cite_eigen', 'betweeness', 'closeness', 'connectness', 'link_strength', 'page_rank', 'journal_dis', 'journal_unique_combn' |
k |
Length of list per community |
m |
Not always used. |
With the parameter reading_list, we can get any of the following 12 reading lists that fits into three categories:
Core
core_papers
core_yr
core_residual
Experts
by_expert_LC
by_expert_TC
group_of_experts_TC
group_of_experts_LC
Centrality
cite_most_others
betweeness
closeness
connectness
page_rank
Using scilist
with reading_list = "core_papers" will list the most
cited paper. The parameter k controls the number of paper to list.
Using scilist
with reading_list = "core_yr" will list the most cited
paper for each year from three years before present to ten years before
present. The parameter k controls the number of paper per year to list.
Using scilist
with reading_list = "core_residual" will list the papers
that diverge most from the expected number of citation for this particular
paper.
Using scilist
with reading_list = "by_expert_LC" we will get a list of
recent papers by one or a few experts in the community. For the option
by_expert_LC, authors are ranked based on their harmonic local H-index. The
H-index is a measure of an other productivity and impact. An author with an
H-index of 10 means that he has published at least 10 papers with 10 or more
citation each. A local H-index means that only citations from other papers in
the community are counted. A harmonic local H-index means that authors do not
get the full credit for each citation their paper received. It is corrected
depending on the authos position in the authors list. First authors gets most
of the credit, then the last author gets the second most, and the authors
gets credit as a proportion of their position. Once the authors
harmonic-local-H-index is found they are ranked and the m most recent
publication of the k most 'expert' authors are listed as a reading list.
Using scilist
with reading_list = "by_expert_TC" instead of
reading_list = "by_expert_LC", notice the _TC instead of the _LC will based
the ranking calculation on total citation of it's publications instead of
only the local citations.
Using scilist
with reading_list = "group_of_experts_LC" we will get a
list of papers for which many authors are experts in the community. For this
option, authors are assigned a harmonic local H-index like described in the
previous section. But this time, a weighted sum of the harmonic-local-H-index
of each authors of a paper is calculated.
Betweeness measures the importance of a paper in connecting two clusters of papers. Papers with a high betweeness would therefore be a paper that tend to be more interdisciplinary.
Closeness measures the average number of link between a paper and all other papers. Papers with a high closeness would therefore be a paper that tend to have a large and wide list of citations.
Connectness measures the number of links a paper has. Papers with a high connectness would therefore be a paper that tend to have cited what most other studies cited.
With the option cite_most_others, the papers that cite most other papers of the community can be found. This is not a centrality measure but it is also based on papers connection to each other. It should tend to find litterature review and recent papers that have an especially good grasp on the community.
A data frame.
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