1.Comparison of the precision efficiencies
S. no. |
Search engines |
Query
set 1: |
Query
set 2: |
Query
set 3: |
IPS (on a 1 to 10 scale) |
|||
---|---|---|---|---|---|---|---|---|
Score for search 1 |
Equivalence score |
Score for search 2 |
Equivalence score |
Score for search 3 |
Equivalence score |
|||
1 |
askMEDLINE |
28 |
4 |
46.7 |
1 |
93.3 |
6 |
3.7 |
2 |
PubMed |
42 |
8 |
126.7 |
9 |
93 |
6 |
7.7 |
3 |
Brij.in |
36 |
6 |
86.7 |
5 |
26.7 |
1 |
4.0 |
4 |
Google Scholar |
48 |
10 |
81.4 |
5 |
122.9 |
8 |
7.7 |
5 |
HighWire Press |
48 |
10 |
105.7 |
7 |
123.6 |
8 |
8.3 |
6 |
PubMed Central |
- |
- |
- |
- |
65.7 |
4 |
4.0 |
7 |
Scirus |
18 |
1 |
36.4 |
1 |
64.3 |
4 |
2.0 |
8 |
BioAsk |
26 |
3 |
115 |
8 |
117.1 |
8 |
6.3 |
9 |
CiteXplore |
46 |
10 |
136.7 |
10 |
103 |
7 |
9.0 |
10 |
EBIMed |
46 |
10 |
121.7 |
8 |
130 |
9 |
9.0 |
11 |
Scopus* |
42 |
8 |
143.3 |
10 |
150.7 |
10 |
9.3 |
IPS – Indicative Precision Score
*A trial version of Scopus was used and the exercise was performed in 2007 and updated in 2009.
Please see Supplementary notes 4 for details of the scoring system.
NOTE: PubMed interfaces were not included in the analysis as their primary output is similar to that of PubMed. Instead of fine tuning the query set to make best use of the search engine, we chose a simple set that is uniformly applicable across the search programs selected for citation retrieval efficiency comparison. It is important to note that the results vary depending on the query set used.
2.Comparison of the relative recall efficiencies
S. no. |
Search engines |
Query
set 1: |
Query
set 2: |
Query
set 3: |
RRS (on a 1 to 10 scale) |
|||
Score for search I |
Equivalence score |
Score for search II |
Equivalence score |
Score for search III |
Equivalence score |
|||
1 |
askMEDLINE |
1.3 |
1 |
2.3 |
1 |
0.4 |
1 |
1.0 |
2 |
PubMed |
2 |
1 |
4.7 |
1 |
1.5 |
4 |
2.0 |
3 |
Brij.in |
1.2 |
1 |
2.3 |
1 |
0.1 |
1 |
1.0 |
4 |
Google Scholar |
8.3 |
4 |
15 |
5 |
1.6 |
4 |
4.3 |
5 |
HighWire Press |
18.8 |
8 |
32.7 |
10 |
3.9 |
10 |
9.3 |
6 |
PubMed Central |
- |
- |
- |
- |
1.2 |
3 |
3.0 |
7 |
Scirus |
3.9 |
2 |
9.3 |
3 |
1.3 |
4 |
3.0 |
8 |
BioAsk |
0.8 |
1 |
4.4 |
1 |
2.6 |
7 |
3.0 |
9 |
CiteXplore |
25.9 |
10 |
16.1 |
5 |
1.3 |
4 |
6.3 |
10 |
EBIMed |
0.5 |
1 |
4.3 |
1 |
1.6 |
4 |
2.0 |
11 |
Scopus* |
1.7 |
1 |
4.8 |
1 |
1.9 |
5 |
2.3 |
RRS – Relative Recall Score
A trial version of Scopus was used and the exercise was performed in 2007 and updated in 2009.
Please see Supplementary notes 4 for details of the scoring system.
NOTE: PubMed interfaces were not included in the analysis as their primary output is similar to that of PubMed. Instead of fine tuning the query set to make best use of the search engine, we chose a simple set that is uniformly applicable across the search programs selected for citation retrieval efficiency comparison. It is important to note that the results vary depending on the query set used.
The results of the comparative analysis of tools, based on their citation retrieval efficiencies, showed that the following 6 tools could be more useful than the others:
PubMed
Google Scholar
HighWire Press
Scopus
CiteXplore
EBIMed
Unlike, the citation retrieval efficiency studies done earlier (Supplementary notes 7, Tables 1 (p-2) and 2 (p-3)), the focus here was on obtaining information with specific objectives in mind.The best possible query set was derived by exploiting features of the query system available. Uniform restrictions were applied during all searches across tools to minimize the number of hits.For example, we looked for citations of articles published in a narrow time period and restricted the field of occurrence of key words within citations.
Details on the methods used for scoring is provided in the Supplementary notes 4.
S. no. |
Search tools |
miRNA & breast cancer1 |
Quadruplex DNA in the context of AIDS |
piRNA in non-testicular tissues |
Transcriptional regulation in context of apoptosis and prostate cancer |
Chikungunya |
IPS |
|||||
PPS |
ES |
PPS |
ES |
PPS |
ES |
PPS |
ES |
PPS |
ES |
|||
1 |
PubMed |
200 |
10 |
166.7 |
9 |
122 |
10 |
168.5 |
7 |
116.8 |
10 |
9.2 |
2 |
Google Scholar |
58.42 |
3 |
34.6 |
1 |
42.5 |
1 |
189.8 |
10 |
43 |
1 |
3.2 |
3 |
HighWire Press |
65.52 |
4 |
120 |
6 |
89.5 |
6 |
130.5 |
1 |
100.5 |
8 |
5 |
4 |
CiteXplore |
0 |
1 |
200 |
10 |
127.9 |
10 |
ND |
----- |
107.5 |
9 |
7.5 |
5 |
EBIMed |
200 |
10 |
200 |
10 |
126.8 |
10 |
ND |
----- |
122.7 |
10 |
10 |
6 |
Scopus |
64.79 |
4 |
48.3 |
1 |
45.6 |
1 |
187 |
10 |
74 |
4 |
4 |
PPS- Preliminary Precision Score, ES- Equivalence Score, IPS- Indicative Precision Score (average ES)
No articles found for the particular query when searched in CiteXplore.
ND- No searches were done for this category in the particular tools.
S. no. |
Search tools |
miRNA & breast cancer1 |
Quadruplex DNA in the context of AIDS |
piRNA in non-testicular tissues |
Transcriptional regulation in context of apoptosis and prostate cancer |
Chikungunya |
RRS |
|||||
PRRS |
ES |
PRRS |
ES |
PRRS |
ES |
PRRS |
ES |
PRRS |
ES |
|||
1 |
PubMed |
7.1 |
1 |
38.46 |
3 |
85.19 |
9 |
40.7 |
4 |
70.41 |
2 |
3.8 |
2 |
Google Scholar |
30.4 |
4 |
53.85 |
5 |
12.96 |
1 |
11.1 |
1 |
100 |
10 |
4.2 |
3 |
HighWire Press |
7.1 |
1 |
30.77 |
2 |
48.15 |
5 |
100 |
10 |
65.31 |
1 |
3.8 |
4 |
CiteXplore |
0 |
1 |
15.38 |
1 |
100 |
10 |
ND |
----- |
72.45 |
3 |
3.75 |
5 |
EBIMed |
1.8 |
1 |
15.38 |
1 |
81.48 |
8 |
ND |
----- |
67.35 |
1 |
2.75 |
6 |
Scopus |
100 |
10 |
100 |
10 |
22.22 |
2 |
41.7 |
4 |
85.71 |
6 |
6.4 |
PRRS- Preliminary Relative Recall Score; ES- Equivalence Score; RRS- Relative Recall Score (average ES)
No articles found for the particular query when searched in CiteXplore.
ND- No searches were done for this category in the particular tools.
5.Indicative Exclusive Contribution Scores
S. no. |
Search tools |
miRNA & breast cancer |
Quadruplex DNA in the context of AIDS |
piRNA in non-testicular tissues |
Chikungunya |
IECS |
||||
PECS |
ES |
PECS |
ES |
PECS |
ES |
PECS |
ES |
|||
1 |
PubMed |
100 |
10 |
0 |
1 |
10 |
4 |
4 |
3 |
4.5 |
2 |
Google Scholar |
40.6 |
5 |
23.4 |
6 |
24.6 |
9 |
14.1 |
8 |
7 |
3 |
HighWire Press |
37.9 |
4 |
0 |
1 |
27.5 |
10 |
11.2 |
6 |
5.3 |
4 |
CiteXplore |
0 |
1 |
0 |
1 |
0.9 |
1 |
0 |
1 |
1 |
5 |
EBIMed |
0 |
1 |
0 |
1 |
5.6 |
2 |
19.3 |
10 |
3.5 |
6 |
Scopus |
48.9 |
5 |
36.4 |
10 |
22.1 |
8 |
15 |
8 |
7.8 |
PECS-Preliminary Exclusive Contribution Score; ES-Equivalence Score; IECS-Indicative Exclusive Contribution Score (average ES)
Note:
The
search involving ‘Transcriptional regulation in context of
apoptosis and prostate cancer’ was not considered for this exercise
as
the citations were sampled and not all of them were analyzed.
6.Average percentage contribution by each tool to the relevant hits
|
|
Avg % relevant articles that could be missed, |
|
S. no. |
Search tools |
while using the specific tool in isolation |
by not using the specific tool (but using the other 3 top performers in combination) |
1 |
Scopus |
19.67 |
31.73 |
2 |
Google Scholar |
36.73 |
14.67 |
3 |
HighWire Press |
49.06 |
2.33 |
4 |
PubMed |
48.74 |
2.66 |