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Table 1 Characteristics of collaboration networks for four classes of drugs

From: Importance of scientific collaboration in contemporary drug discovery and development: a detailed network analysis

Drug name

Target class

No. of papers

No. of authors

No. of institutions

Fraction with inter-institutional collaboration

Fraction with industrial participation

Average clustering

Assortativity

Fraction of top institutions with 90% or greater collaborations

Alirocumab

PCSK9 inhibitors

403

1407

908

0.72

0.429

0.015

− 0.087

0.126

Bococizumab

66

346

173

0.73

0.465

0.047

− 0.057

0.347

Evolocumab

400

1185

680

0.63

0.509

0.006

− 0.075

0.153

Sildenafil

PDE5 inhibitors

8018

25,171

12,659

0.39

0.128

0.009

− 0.018

0.043

Tadalafil

2468

7918

4556

0.45

0.236

0.012

− 0.055

0.073

Vardenafil

1464

4407

2556

0.41

0.240

0.012

− 0.022

0.098

Atorvastatin

Statins (HMG-CoA reductase inhibitors)

13,478

42,607

22,201

0.49

0.162

0.003

0.060

0.024

Cerivastatin

722

2725

1416

0.38

0.150

0.014

0.066

0.129

Fluvastatin

2848

9722

5112

0.36

0.131

0.020

0.021

0.079

Lovastatin

4554

15,168

7679

0.39

0.139

0.008

0.023

0.068

Pitavastatin

1228

4660

2212

0.37

0.052

0.007

0.047

0.076

Pravastatin

5356

18,214

8403

0.45

0.108

0.002

−0.016

0.047

Rosuvastatin

5285

17,718

9242

0.59

0.134

0.003

0.095

0.037

Simvastatin

12,738

43,187

21,691

0.85

0.067

0.001

0.101

0.007

Adalimumab

TNF inhibitors

8756

30,178

19,734

0.61

0.126

0.003

0.026

0.020

Certolizumab pegol

1052

3639

2085

0.89

0.024

0.004

0.067

0.052

Etanercept

8521

28,705

15,002

0.55

0.187

0.006

− 0.024

0.030

Golimumab

1285

4810

2980

0.69

0.430

0.006

− 0.032

0.073

Infliximab

16,371

52,436

31,727

0.55

0.134

0.002

− 0.012

0.015

  1. Note: The significant changes of network characteristics are highlighted by bold text. The detailed descriptions for network indices are provided in the “Methods” section