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Table 1 Specific indexes of the second-class disciplines in PNAS 1999–2013

From: Feature analysis of multidisciplinary scientific collaboration patterns based on PNAS

Disciplinary

m

n

\(k_{1}\)

\(k_{2}\)

b

Agricultural science

22

226

9

20

3.19

Anthropology

114

556

24

110

40.02

Applied biological science

135

767

9

134

1.79

Applied mathematics

191

380

27

182

49.39

Applied physical science

309

816

26

299

29.14

Astronomy

3

50

3

3

0.13

Biochemistry

333

6303

19

327

16.96

Biophysics

359

3957

16

359

7.91

Biophysics and computational biology

468

1532

11

467

7.95

Cell biology

135

3717

18

130

12.71

Chemistry

1003

8645

26

1003

49.73

Computer science

77

101

17

70

9.50

Developmental biology

33

1525

12

30

1.66

Earth, atmospheric, and planetary sciences

78

243

9

77

1.58

Ecology

162

1084

15

162

10.00

Economic science

94

171

21

94

20.88

Engineering

217

392

19

217

13.85

Environmental science

184

695

20

183

25.44

Evolution

233

2274

22

216

25.81

Genetics

103

2664

20

97

12.68

Geology

137

285

10

136

2.79

Geophysics

23

175

7

23

1.51

Immunology

43

3070

10

38

1.45

Mathematics

18

561

11

17

3.36

Medical science

181

4784

20

170

14.01

Microbiology

92

2812

17

89

11.85

Neurobiology

16

1003

9

16

0.87

Neuroscience

290

4398

16

280

12.00

Pharmacology

26

594

4

26

0.08

Physics

229

4818

22

227

18.24

Physiology

33

1116

12

32

5.82

Plant biology

27

1700

12

27

4.62

Political science

7

17

5

7

0.54

Population biology

27

166

11

26

4.04

Psychological and cognitive science

160

487

16

159

5.09

Psychology

83

449

12

83

3.62

Statistics

90

146

20

85

19.34

Sustainability science

123

399

11

120

7.66

Systems biology

36

159

11

36

1.80

  1. The number of papers n and that of interdisciplinary papers m of a discipline are counted based on the discipline information provided by PNAS. The degree \(k_{1}\), weighted degree \(k_{2}\), and betweenness centrality b of a discipline are calculated based on the weighted network in Fig. 2.