Graphs used in
Essential Science
IndicatorsSM
- Projecting Full-Year Citation Counts.
Essential Science Indicatorsplots time series graphs for
scientists, institutions, journals and countries. These graphs can show
trends in citations received, papers published, and citation impact,
that is, average citations per paper. The time series consist of a
series of overlapping five-year periods, e.g., 1993-1997, through the
most recent period 1999-2003. Since Essential Science
Indicators is updated every two months, in bimonthly increments,
the most recent year, say 2003, may contain less than a full year of
citations and papers that can make the last time period appear
abnormally low. For example, after the first bimonthly update of 2003,
the last five-year time period would consist of 4 years and 2 months of
data; after the next update, 4 years and 4 months, and so on. The
result is that, without correction, all time series graphs occurring
during a mid-year cycle will show smaller values for the last period
than are likely to exist by year-end.
To correct for this, Essential Science Indicators estimates
full-year scores for citations, papers and cites per paper for
scientists, institutions, journals and countries. The process involves
multiplying the actual values for the last five-year period in the time
series by the appropriate factor from the table below.
|
Multipliers for
Estimating Full Year Citation, Paper and Impact
Counts
|
|
Bimonthly Period
|
Citations
|
Papers
|
Impact
|
|
1
|
1.52
|
1.20
|
1.26
|
|
2
|
1.37
|
1.15
|
1.19
|
|
3
|
1.26
|
1.11
|
1.13
|
|
4
|
1.16
|
1.07
|
1.08
|
|
5
|
1.07
|
1.03
|
1.04
|
|
6
|
1.00
|
1.00
|
1.00
|
For example, if the Essential Science Indicators bimonthly
update period is 2, and the counts for citations, papers and
cites/paper are 20, 10 and 2.0 respectively, the full-year estimates
would be 20x1.37 = 27.4 citations, 10x1.15 = 11.5 papers, and 2.0x1.19
= 2.4 cites per paper. After the last
(6th) bimonthly update of the year,
the multipliers revert to 1 indicating that no estimation is needed
since the year is complete.
The derivation of multipliers is based on the empirical observation
that, across the entire database, the last year of a five-year citation
window contributes on average 41% of the citations to the total for the
period. The further approximation is made that the 41% of citations are
spread evenly across the six bimonthly periods, although in a more
sophisticated scheme, the later periods would contribute more than the
earlier ones due to the widening citation window. It is also assumed is
that the publication rate can be projected evenly, that is, each year
will contribute the same number of papers. Thus, the estimate does not
take into account whether an entity has an increasing or decreasing
rate of publication or citation, or possible field differences in
growth rates.
Should you have further questions, please
contact
us.