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Table 3 Summed annotations per topic and theme, and overall theme per topic (≥4 counts)

From: Understanding big data themes from scientific biomedical literature through topic modeling

Topic

Themes

Overall

Volume

Velocity

Variety

Veracity

Value

Variability

Information

Technology

Methods

Impact

Beyond con.

Application

 

1

   

2

\(\underline{{\mathbf {5}}}\)

    

4

 

2

Value, Impact

2

 

1

1

3

  

1

1

 

1

 

4

Application

3

         

1

 

3

4

1

1

     

2

\(\underline{{\mathbf {6}}}\)

   

Methods

5

\(\underline{{\mathbf {5}}}\)

2

1

    

3

  

4

 

Volume, Beyond conventional

6

 

1

     

\(\underline{{\mathbf {7}}}\)

  

2

 

Technology

7

   

1

  

1

1

\(\underline{{\mathbf {7}}}\)

  

1

Methods

8

  

1

   

2

    

\(\underline{{\mathbf {7}}}\)

Application

9

    

1

    

4

 

2

Impact

10

1

 

2

   

2

1

3

 

1

4

Application

11

    

1

    

2

 

\(\underline{{\mathbf {6}}}\)

Application

12

\(\underline{{\mathbf {6}}}\)

\(\underline{{\mathbf {5}}}\)

  

1

  

2

1

 

1

 

Volume, Velocity

13

   

1

 

1

1

 

\(\underline{{\mathbf {5}}}\)

  

1

Methods

14

    

1

 

4

1

 

1

 

2

Information

15

   

1

1

 

1

  

3

 

4

Application

16

1

     

2

 

1

 

1

\(\underline{{\mathbf {5}}}\)

Application

17

 

1

  

1

1

2

3

  

1

 

18

   

1

1

 

3

1

2

  

4

Application

19

 

1

1

 

1

 

1

1

1

1

 

3

20

      

1

 

\(\underline{{\mathbf {7}}}\)

   

Methods

21

  

1

1

  

1

  

1

 

\(\underline{{\mathbf {7}}}\)

Application

22

 

2

 

1

  

\(\underline{{\mathbf {6}}}\)

    

3

Information

23

1

  

1

  

\(\underline{{\mathbf {6}}}\)

   

1

4

Application, Information

24

1

1

1

 

1

 

3

  

1

 

4

Application

25

1

2

    

2

1

3

   

total

17

17

8

12

14

2

39

24

36

19

11

66