Dear Statalist Users,
I have a dataset containing the id of a patent, the inventors of this patent as well as the current owner of the patent (i.e. the firm). My data is panel-data, i.e. showing the owner of the patent in a respective year. The inventors therefore also appear each year.
What I'm trying to compute is the average number of collaborators (i.e. other inventors that one inventor works together with) for each inventor.
As an example let's assume I have two patents, 1 and 2. On patent 1 we have inventors A and B; on patent 2 we have inventors B and C. This would mean that inventor A has one collaborator, inventor B has two collaborators and inventor C has one collaborator. This computed over multiple patents and then averaged is what I am lookig for.
Unfortunately I have no idea how I would compute such a measure with my data. I have tried looking at network analysis, but also not really sure if this is the way to go or if this can be computed in a much simpler way.
I would appreciate any hints or ideas.
Thanks for your help!
Here is an example of my data with 400 observations:
I have a dataset containing the id of a patent, the inventors of this patent as well as the current owner of the patent (i.e. the firm). My data is panel-data, i.e. showing the owner of the patent in a respective year. The inventors therefore also appear each year.
What I'm trying to compute is the average number of collaborators (i.e. other inventors that one inventor works together with) for each inventor.
As an example let's assume I have two patents, 1 and 2. On patent 1 we have inventors A and B; on patent 2 we have inventors B and C. This would mean that inventor A has one collaborator, inventor B has two collaborators and inventor C has one collaborator. This computed over multiple patents and then averaged is what I am lookig for.
Unfortunately I have no idea how I would compute such a measure with my data. I have tried looking at network analysis, but also not really sure if this is the way to go or if this can be computed in a much simpler way.
I would appreciate any hints or ideas.
Thanks for your help!
Here is an example of my data with 400 observations:
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input str21 firm float year str15 patent_id str74 inventor_id "Merck & Co" 2015 "10000454" "fl:h_ln:josien-1" "Merck & Co" 2019 "10000454" "fl:c_ln:plummer-4" "Merck & Co" 2015 "10000454" "fl:a_ln:nair-6" "Merck & Co" 2018 "10000454" "fl:h_ln:josien-1" "Merck & Co" 2019 "10000454" "fl:c_ln:zhu-4" "Merck & Co" 2018 "10000454" "fl:a_ln:nair-6" "Merck & Co" 2017 "10000454" "fl:b_ln:hu-27" "Merck & Co" 2018 "10000454" "fl:j_ln:frie-1" "Merck & Co" 2015 "10000454" "fl:b_ln:hu-27" "Merck & Co" 2016 "10000454" "fl:z_ln:chen-645" "Merck & Co" 2018 "10000454" "fl:p_ln:biju-1" "Merck & Co" 2015 "10000454" "fl:t_ln:blizzard-1" "Merck & Co" 2018 "10000454" "fl:w_ln:hagmann-2" "Merck & Co" 2017 "10000454" "fl:h_ln:josien-1" "Merck & Co" 2016 "10000454" "fl:h_ln:josien-1" "Merck & Co" 2015 "10000454" "fl:m_ln:clements-3" "Merck & Co" 2019 "10000454" "fl:t_ln:biftu-1" "Merck & Co" 2017 "10000454" "fl:t_ln:blizzard-1" "Merck & Co" 2018 "10000454" "fl:z_ln:chen-645" "Merck & Co" 2017 "10000454" "fl:j_ln:frie-1" "Merck & Co" 2019 "10000454" "fl:m_ln:cui-1" "Merck & Co" 2019 "10000454" "fl:p_ln:biju-1" "Merck & Co" 2018 "10000454" "fl:m_ln:cui-1" "Merck & Co" 2016 "10000454" "fl:c_ln:plummer-4" "Merck & Co" 2017 "10000454" "fl:p_ln:biju-1" "Merck & Co" 2017 "10000454" "fl:a_ln:nair-6" "Merck & Co" 2019 "10000454" "fl:b_ln:hu-27" "Merck & Co" 2018 "10000454" "fl:c_ln:zhu-4" "Merck & Co" 2015 "10000454" "fl:w_ln:hagmann-2" "Merck & Co" 2017 "10000454" "fl:t_ln:biftu-1" "Merck & Co" 2016 "10000454" "fl:a_ln:nair-6" "Merck & Co" 2018 "10000454" "fl:b_ln:hu-27" "Merck & Co" 2016 "10000454" "fl:t_ln:biftu-1" "Merck & Co" 2015 "10000454" "fl:p_ln:biju-1" "Merck & Co" 2019 "10000454" "fl:t_ln:blizzard-1" "Merck & Co" 2015 "10000454" "fl:z_ln:chen-645" "Merck & Co" 2018 "10000454" "fl:c_ln:plummer-4" "Merck & Co" 2019 "10000454" "fl:z_ln:chen-645" "Merck & Co" 2019 "10000454" "fl:m_ln:clements-3" "Merck & Co" 2017 "10000454" "fl:w_ln:hagmann-2" "Merck & Co" 2016 "10000454" "fl:b_ln:hu-27" "Merck & Co" 2018 "10000454" "fl:t_ln:biftu-1" "Merck & Co" 2015 "10000454" "fl:j_ln:frie-1" "Merck & Co" 2016 "10000454" "fl:j_ln:frie-1" "Merck & Co" 2017 "10000454" "fl:z_ln:chen-645" "Merck & Co" 2016 "10000454" "fl:m_ln:cui-1" "Merck & Co" 2019 "10000454" "fl:h_ln:josien-1" "Merck & Co" 2017 "10000454" "fl:m_ln:clements-3" "Merck & Co" 2016 "10000454" "fl:c_ln:zhu-4" "Merck & Co" 2015 "10000454" "fl:c_ln:zhu-4" "Merck & Co" 2019 "10000454" "fl:w_ln:hagmann-2" "Merck & Co" 2015 "10000454" "fl:t_ln:biftu-1" "Merck & Co" 2017 "10000454" "fl:c_ln:plummer-4" "Merck & Co" 2016 "10000454" "fl:t_ln:blizzard-1" "Merck & Co" 2015 "10000454" "fl:m_ln:cui-1" "Merck & Co" 2015 "10000454" "fl:c_ln:plummer-4" "Merck & Co" 2018 "10000454" "fl:t_ln:blizzard-1" "Merck & Co" 2016 "10000454" "fl:m_ln:clements-3" "Merck & Co" 2016 "10000454" "fl:p_ln:biju-1" "Merck & Co" 2018 "10000454" "fl:m_ln:clements-3" "Merck & Co" 2019 "10000454" "fl:a_ln:nair-6" "Merck & Co" 2016 "10000454" "fl:w_ln:hagmann-2" "Merck & Co" 2017 "10000454" "fl:m_ln:cui-1" "Merck & Co" 2017 "10000454" "fl:c_ln:zhu-4" "Merck & Co" 2019 "10000454" "fl:j_ln:frie-1" "Bristol Myers Squibb" 2018 "10000466" "fl:j_ln:corte-1" "Bristol Myers Squibb" 2017 "10000466" "fl:s_ln:srivastava-40" "Bristol Myers Squibb" 2018 "10000466" "fl:s_ln:srivastava-40" "Bristol Myers Squibb" 2019 "10000466" "fl:j_ln:corte-1" "Bristol Myers Squibb" 2018 "10000466" "fl:m_ln:orwat-1" "Bristol Myers Squibb" 2017 "10000466" "fl:m_ln:orwat-1" "Bristol Myers Squibb" 2017 "10000466" "fl:j_ln:corte-1" "Bristol Myers Squibb" 2018 "10000466" "fl:l_ln:smith-29" "Bristol Myers Squibb" 2019 "10000466" "fl:d_ln:pinto-7" "Bristol Myers Squibb" 2019 "10000466" "fl:s_ln:srivastava-40" "Bristol Myers Squibb" 2017 "10000466" "fl:d_ln:pinto-7" "Bristol Myers Squibb" 2017 "10000466" "fl:l_ln:smith-29" "Bristol Myers Squibb" 2018 "10000466" "fl:d_ln:pinto-7" "Bristol Myers Squibb" 2019 "10000466" "fl:m_ln:orwat-1" "Bristol Myers Squibb" 2019 "10000466" "fl:l_ln:smith-29" "Johnson & Johnson" 2019 "10000473" "fl:r_ln:zhang-98" "Johnson & Johnson" 2018 "10000473" "fl:g_ln:xu-18" "Johnson & Johnson" 2018 "10000473" "fl:r_ln:zhang-98" "Johnson & Johnson" 2019 "10000473" "fl:t_ln:lu-76" "Johnson & Johnson" 2017 "10000473" "fl:g_ln:xu-18" "Johnson & Johnson" 2017 "10000473" "fl:f_ln:song-2" "Johnson & Johnson" 2017 "10000473" "fl:r_ln:zhang-98" "Johnson & Johnson" 2018 "10000473" "fl:m_ln:gaul-1" "Johnson & Johnson" 2019 "10000473" "fl:f_ln:song-2" "Johnson & Johnson" 2019 "10000473" "fl:g_ln:xu-18" "Johnson & Johnson" 2018 "10000473" "fl:f_ln:song-2" "Johnson & Johnson" 2017 "10000473" "fl:t_ln:lu-76" "Johnson & Johnson" 2017 "10000473" "fl:m_ln:gaul-1" "Johnson & Johnson" 2019 "10000473" "fl:m_ln:gaul-1" "Johnson & Johnson" 2018 "10000473" "fl:s_ln:yang-342" "Johnson & Johnson" 2019 "10000473" "fl:s_ln:yang-342" "Johnson & Johnson" 2017 "10000473" "fl:s_ln:yang-342" "Johnson & Johnson" 2018 "10000473" "fl:t_ln:lu-76" "Bristol Myers Squibb" 2019 "10000480" "fl:s_ln:spergel-1" "Bristol Myers Squibb" 2017 "10000480" "fl:d_ln:weinstein-8" "Bristol Myers Squibb" 2018 "10000480" "fl:d_ln:weinstein-8" "Bristol Myers Squibb" 2019 "10000480" "fl:s_ln:lin-712" "Bristol Myers Squibb" 2016 "10000480" "fl:s_ln:wrobleski-1" "Bristol Myers Squibb" 2019 "10000480" "fl:s_ln:wrobleski-1" "Bristol Myers Squibb" 2016 "10000480" "fl:d_ln:weinstein-8" "Bristol Myers Squibb" 2017 "10000480" "fl:y_ln:zhang-15" "Bristol Myers Squibb" 2018 "10000480" "fl:s_ln:wrobleski-1" "Bristol Myers Squibb" 2019 "10000480" "fl:d_ln:batt-3" "Bristol Myers Squibb" 2019 "10000480" "fl:q_ln:liu-6" "Bristol Myers Squibb" 2017 "10000480" "fl:s_ln:wrobleski-1" "Bristol Myers Squibb" 2018 "10000480" "fl:j_ln:tokarski-2" "Bristol Myers Squibb" 2017 "10000480" "fl:s_ln:lin-712" "Bristol Myers Squibb" 2019 "10000480" "fl:j_ln:tokarski-2" "Bristol Myers Squibb" 2017 "10000480" "fl:d_ln:batt-3" "Bristol Myers Squibb" 2018 "10000480" "fl:c_ln:liu-601" "Bristol Myers Squibb" 2019 "10000480" "fl:y_ln:zhang-15" "Bristol Myers Squibb" 2018 "10000480" "fl:r_ln:moslin-1" "Bristol Myers Squibb" 2019 "10000480" "fl:d_ln:weinstein-8" "Bristol Myers Squibb" 2016 "10000480" "fl:s_ln:lin-712" "Bristol Myers Squibb" 2016 "10000480" "fl:j_ln:tokarski-2" "Bristol Myers Squibb" 2018 "10000480" "fl:y_ln:zhang-15" "Bristol Myers Squibb" 2017 "10000480" "fl:j_ln:tokarski-2" "Bristol Myers Squibb" 2018 "10000480" "fl:d_ln:batt-3" "Bristol Myers Squibb" 2016 "10000480" "fl:r_ln:moslin-1" "Bristol Myers Squibb" 2016 "10000480" "fl:a_ln:kumar-164" "Bristol Myers Squibb" 2018 "10000480" "fl:s_ln:lin-712" "Bristol Myers Squibb" 2016 "10000480" "fl:s_ln:spergel-1" "Bristol Myers Squibb" 2017 "10000480" "fl:q_ln:liu-6" "Bristol Myers Squibb" 2017 "10000480" "fl:a_ln:kumar-164" "Bristol Myers Squibb" 2017 "10000480" "fl:s_ln:spergel-1" "Bristol Myers Squibb" 2016 "10000480" "fl:y_ln:zhang-15" "Bristol Myers Squibb" 2016 "10000480" "fl:d_ln:batt-3" "Bristol Myers Squibb" 2019 "10000480" "fl:a_ln:kumar-164" "Bristol Myers Squibb" 2018 "10000480" "fl:s_ln:spergel-1" "Bristol Myers Squibb" 2016 "10000480" "fl:c_ln:liu-601" "Bristol Myers Squibb" 2016 "10000480" "fl:q_ln:liu-6" "Bristol Myers Squibb" 2017 "10000480" "fl:c_ln:liu-601" "Bristol Myers Squibb" 2019 "10000480" "fl:c_ln:liu-601" "Bristol Myers Squibb" 2019 "10000480" "fl:r_ln:moslin-1" "Bristol Myers Squibb" 2018 "10000480" "fl:q_ln:liu-6" "Bristol Myers Squibb" 2017 "10000480" "fl:r_ln:moslin-1" "Bristol Myers Squibb" 2018 "10000480" "fl:a_ln:kumar-164" "Merck & Co" 2015 "10000484" "fl:s_ln:dong-19" "Merck & Co" 2016 "10000484" "fl:f_ln:ding-1" "Merck & Co" 2014 "10000484" "fl:j_ln:jiang-26" "Merck & Co" 2016 "10000484" "fl:j_ln:jiang-26" "Merck & Co" 2018 "10000484" "fl:j_ln:jiang-26" "Merck & Co" 2014 "10000484" "fl:y_ln:guo-249" "Merck & Co" 2019 "10000484" "fl:j_ln:jiang-26" "Merck & Co" 2015 "10000484" "fl:y_ln:guo-249" "Merck & Co" 2019 "10000484" "fl:f_ln:ding-1" "Merck & Co" 2016 "10000484" "fl:b_ln:pio-2" "Merck & Co" 2017 "10000484" "fl:s_ln:walsh-12" "Merck & Co" 2015 "10000484" "fl:s_ln:walsh-12" "Merck & Co" 2016 "10000484" "fl:s_ln:walsh-12" "Merck & Co" 2014 "10000484" "fl:s_ln:dong-19" "Merck & Co" 2017 "10000484" "fl:f_ln:ding-1" "Merck & Co" 2018 "10000484" "fl:s_ln:walsh-12" "Merck & Co" 2014 "10000484" "fl:s_ln:walsh-12" "Merck & Co" 2015 "10000484" "fl:h_ln:chobanian-1" "Merck & Co" 2014 "10000484" "fl:f_ln:ding-1" "Merck & Co" 2019 "10000484" "fl:s_ln:dong-19" "Merck & Co" 2015 "10000484" "fl:f_ln:ding-1" "Merck & Co" 2017 "10000484" "fl:j_ln:jiang-26" "Merck & Co" 2019 "10000484" "fl:s_ln:walsh-12" "Merck & Co" 2014 "10000484" "fl:h_ln:chobanian-1" "Merck & Co" 2019 "10000484" "fl:y_ln:guo-249" "Merck & Co" 2017 "10000484" "fl:b_ln:pio-2" "Merck & Co" 2018 "10000484" "fl:y_ln:guo-249" "Merck & Co" 2019 "10000484" "fl:b_ln:pio-2" "Merck & Co" 2018 "10000484" "fl:d_ln:kim-624" "Merck & Co" 2018 "10000484" "fl:s_ln:dong-19" "Merck & Co" 2016 "10000484" "fl:y_ln:guo-249" "Merck & Co" 2015 "10000484" "fl:j_ln:jiang-26" "Merck & Co" 2016 "10000484" "fl:s_ln:dong-19" "Merck & Co" 2017 "10000484" "fl:d_ln:kim-624" "Merck & Co" 2016 "10000484" "fl:h_ln:chobanian-1" "Merck & Co" 2018 "10000484" "fl:f_ln:ding-1" "Merck & Co" 2019 "10000484" "fl:h_ln:chobanian-1" "Merck & Co" 2016 "10000484" "fl:d_ln:kim-624" "Merck & Co" 2015 "10000484" "fl:d_ln:kim-624" "Merck & Co" 2015 "10000484" "fl:b_ln:pio-2" "Merck & Co" 2017 "10000484" "fl:s_ln:dong-19" "Merck & Co" 2014 "10000484" "fl:b_ln:pio-2" "Merck & Co" 2018 "10000484" "fl:b_ln:pio-2" "Merck & Co" 2018 "10000484" "fl:h_ln:chobanian-1" "Merck & Co" 2019 "10000484" "fl:d_ln:kim-624" "Merck & Co" 2017 "10000484" "fl:y_ln:guo-249" "Merck & Co" 2014 "10000484" "fl:d_ln:kim-624" "Merck & Co" 2017 "10000484" "fl:h_ln:chobanian-1" "Merck & Co" 2017 "10000499" "fl:j_ln:skudlarek-1" "Merck & Co" 2018 "10000499" "fl:s_ln:kuduk-2" "Merck & Co" 2015 "10000499" "fl:s_ln:kuduk-2" "Merck & Co" 2019 "10000499" "fl:t_ln:reger-2" "Merck & Co" 2016 "10000499" "fl:t_ln:reger-2" "Merck & Co" 2015 "10000499" "fl:j_ln:skudlarek-1" "Merck & Co" 2019 "10000499" "fl:j_ln:skudlarek-1" "Merck & Co" 2018 "10000499" "fl:t_ln:reger-2" "Merck & Co" 2015 "10000499" "fl:t_ln:reger-2" "Merck & Co" 2018 "10000499" "fl:j_ln:skudlarek-1" "Merck & Co" 2016 "10000499" "fl:j_ln:skudlarek-1" "Merck & Co" 2017 "10000499" "fl:t_ln:reger-2" "Merck & Co" 2019 "10000499" "fl:s_ln:kuduk-2" "Merck & Co" 2017 "10000499" "fl:s_ln:kuduk-2" "Merck & Co" 2016 "10000499" "fl:s_ln:kuduk-2" "Merck & Co" 2017 "10000501" "fl:r_ln:liu-59" "Merck & Co" 2018 "10000501" "fl:w_ln:quan-1" "Merck & Co" 2018 "10000501" "fl:j_ln:debenham-2" "Merck & Co" 2019 "10000501" "fl:l_ln:wang-603" "Merck & Co" 2018 "10000501" "fl:a_ln:crespo-7" "Merck & Co" 2017 "10000501" "fl:d_ln:guiadeen-2" "Merck & Co" 2017 "10000501" "fl:w_ln:quan-1" "Merck & Co" 2019 "10000501" "fl:p_ln:liu-140" "Merck & Co" 2015 "10000501" "fl:v_ln:colandrea-4" "Merck & Co" 2019 "10000501" "fl:r_ln:liu-59" "Merck & Co" 2015 "10000501" "fl:x_ln:du-106" "Merck & Co" 2017 "10000501" "fl:v_ln:colandrea-4" "Merck & Co" 2015 "10000501" "fl:j_ln:debenham-2" "Merck & Co" 2017 "10000501" "fl:p_ln:liu-140" "Merck & Co" 2016 "10000501" "fl:p_ln:liu-140" "Merck & Co" 2018 "10000501" "fl:l_ln:wang-603" "Merck & Co" 2018 "10000501" "fl:j_ln:cai-7" "Merck & Co" 2017 "10000501" "fl:l_ln:wang-603" "Merck & Co" 2018 "10000501" "fl:c_ln:madsen-duggan-1" "Merck & Co" 2018 "10000501" "fl:r_ln:liu-59" "Merck & Co" 2018 "10000501" "fl:d_ln:guiadeen-2" "Merck & Co" 2015 "10000501" "fl:r_ln:liu-59" "Merck & Co" 2016 "10000501" "fl:x_ln:du-106" "Merck & Co" 2017 "10000501" "fl:c_ln:sinz-1" "Merck & Co" 2019 "10000501" "fl:a_ln:crespo-7" "Merck & Co" 2016 "10000501" "fl:r_ln:liu-59" "Merck & Co" 2017 "10000501" "fl:x_ln:du-106" "Merck & Co" 2016 "10000501" "fl:l_ln:wang-603" "Merck & Co" 2019 "10000501" "fl:c_ln:sinz-1" "Merck & Co" 2016 "10000501" "fl:c_ln:madsen-duggan-1" "Merck & Co" 2016 "10000501" "fl:c_ln:sinz-1" "Merck & Co" 2019 "10000501" "fl:d_ln:guiadeen-2" "Merck & Co" 2018 "10000501" "fl:c_ln:sinz-1" "Merck & Co" 2019 "10000501" "fl:j_ln:mccoy-48" "Merck & Co" 2017 "10000501" "fl:j_ln:cai-7" "Merck & Co" 2015 "10000501" "fl:a_ln:crespo-7" "Merck & Co" 2016 "10000501" "fl:j_ln:cai-7" "Merck & Co" 2015 "10000501" "fl:p_ln:liu-140" "Merck & Co" 2019 "10000501" "fl:c_ln:madsen-duggan-1" "Merck & Co" 2015 "10000501" "fl:c_ln:sinz-1" "Merck & Co" 2016 "10000501" "fl:w_ln:quan-1" "Merck & Co" 2019 "10000501" "fl:j_ln:debenham-2" "Merck & Co" 2015 "10000501" "fl:j_ln:cai-7" "Merck & Co" 2019 "10000501" "fl:v_ln:colandrea-4" "Merck & Co" 2015 "10000501" "fl:j_ln:mccoy-48" "Merck & Co" 2015 "10000501" "fl:c_ln:madsen-duggan-1" "Merck & Co" 2015 "10000501" "fl:l_ln:wang-603" "Merck & Co" 2016 "10000501" "fl:j_ln:mccoy-48" "Merck & Co" 2017 "10000501" "fl:c_ln:madsen-duggan-1" "Merck & Co" 2018 "10000501" "fl:j_ln:mccoy-48" "Merck & Co" 2018 "10000501" "fl:p_ln:liu-140" "Merck & Co" 2016 "10000501" "fl:j_ln:debenham-2" "Merck & Co" 2018 "10000501" "fl:v_ln:colandrea-4" "Merck & Co" 2018 "10000501" "fl:x_ln:du-106" "Merck & Co" 2016 "10000501" "fl:v_ln:colandrea-4" "Merck & Co" 2015 "10000501" "fl:d_ln:guiadeen-2" "Merck & Co" 2016 "10000501" "fl:a_ln:crespo-7" "Merck & Co" 2017 "10000501" "fl:j_ln:debenham-2" "Merck & Co" 2019 "10000501" "fl:w_ln:quan-1" "Merck & Co" 2016 "10000501" "fl:d_ln:guiadeen-2" "Merck & Co" 2015 "10000501" "fl:w_ln:quan-1" "Merck & Co" 2019 "10000501" "fl:j_ln:cai-7" "Merck & Co" 2017 "10000501" "fl:j_ln:mccoy-48" "Merck & Co" 2017 "10000501" "fl:a_ln:crespo-7" "Merck & Co" 2019 "10000501" "fl:x_ln:du-106" "Johnson & Johnson" 2019 "10000502" "fl:p_ln:connolly-4" "Johnson & Johnson" 2018 "10000502" "fl:z_ln:zhang-40" "Johnson & Johnson" 2017 "10000502" "fl:j_ln:branch-9" "Johnson & Johnson" 2019 "10000502" "fl:v_ln:pande-2" "Johnson & Johnson" 2019 "10000502" "fl:j_ln:branch-9" "Johnson & Johnson" 2018 "10000502" "fl:p_ln:connolly-4" "Johnson & Johnson" 2019 "10000502" "fl:c_ln:rocaboy-1" "Johnson & Johnson" 2017 "10000502" "fl:l_ln:meerpoel-1" "Johnson & Johnson" 2017 "10000502" "fl:c_ln:rocaboy-1" "Johnson & Johnson" 2019 "10000502" "fl:z_ln:zhang-40" "Johnson & Johnson" 2018 "10000502" "fl:l_ln:trabalon escolar-1" "Johnson & Johnson" 2017 "10000502" "fl:z_ln:zhang-40" "Johnson & Johnson" 2018 "10000502" "fl:c_ln:rocaboy-1" "Johnson & Johnson" 2017 "10000502" "fl:v_ln:pande-2" "Johnson & Johnson" 2018 "10000502" "fl:l_ln:meerpoel-1" "Johnson & Johnson" 2019 "10000502" "fl:l_ln:trabalon escolar-1" "Johnson & Johnson" 2019 "10000502" "fl:i_ln:hickson-1" "Johnson & Johnson" 2017 "10000502" "fl:p_ln:connolly-4" "Johnson & Johnson" 2019 "10000502" "fl:g_ln:bignan-1" "Johnson & Johnson" 2017 "10000502" "fl:l_ln:trabalon escolar-1" "Johnson & Johnson" 2018 "10000502" "fl:v_ln:pande-2" "Johnson & Johnson" 2018 "10000502" "fl:j_ln:branch-9" "Johnson & Johnson" 2018 "10000502" "fl:i_ln:hickson-1" "Johnson & Johnson" 2017 "10000502" "fl:i_ln:hickson-1" "Johnson & Johnson" 2019 "10000502" "fl:l_ln:meerpoel-1" "Johnson & Johnson" 2017 "10000502" "fl:g_ln:bignan-1" "Johnson & Johnson" 2018 "10000502" "fl:g_ln:bignan-1" "Incyte" 2018 "10000507" "fl:d_ln:burns-16" "Incyte" 2016 "10000507" "fl:m_ln:rafalski-1" "Incyte" 2016 "10000507" "fl:h_ln:ye-4" "Incyte" 2016 "10000507" "fl:y_ln:li-55" "Incyte" 2016 "10000507" "fl:s_ln:mei-24" "Incyte" 2017 "10000507" "fl:a_ln:wang-189" "Incyte" 2018 "10000507" "fl:h_ln:ye-4" "Incyte" 2019 "10000507" "fl:y_ln:li-55" "Incyte" 2016 "10000507" "fl:t_ln:huang-350" "Incyte" 2018 "10000507" "fl:s_ln:mei-24" "Incyte" 2016 "10000507" "fl:h_ln:feng-28" "Incyte" 2016 "10000507" "fl:w_ln:zhu-132" "Incyte" 2017 "10000507" "fl:s_ln:mei-24" "Incyte" 2019 "10000507" "fl:d_ln:burns-16" "Incyte" 2018 "10000507" "fl:y_ln:li-55" "Incyte" 2016 "10000507" "fl:j_ln:pan-77" "Incyte" 2017 "10000507" "fl:y_ln:li-55" "Incyte" 2019 "10000507" "fl:t_ln:huang-350" "Incyte" 2017 "10000507" "fl:c_ln:xue-1" "Incyte" 2018 "10000507" "fl:m_ln:rafalski-1" "Incyte" 2019 "10000507" "fl:c_ln:xue-1" "Incyte" 2019 "10000507" "fl:s_ln:mei-24" "Incyte" 2017 "10000507" "fl:d_ln:burns-16" "Incyte" 2017 "10000507" "fl:h_ln:ye-4" "Incyte" 2017 "10000507" "fl:m_ln:rafalski-1" "Incyte" 2017 "10000507" "fl:j_ln:pan-77" "Incyte" 2017 "10000507" "fl:h_ln:feng-28" "Incyte" 2018 "10000507" "fl:j_ln:pan-77" "Incyte" 2018 "10000507" "fl:c_ln:xue-1" "Incyte" 2017 "10000507" "fl:t_ln:huang-350" "Incyte" 2018 "10000507" "fl:h_ln:feng-28" "Incyte" 2019 "10000507" "fl:h_ln:ye-4" "Incyte" 2016 "10000507" "fl:d_ln:burns-16" "Incyte" 2017 "10000507" "fl:w_ln:zhu-132" "Incyte" 2019 "10000507" "fl:m_ln:rafalski-1" "Incyte" 2019 "10000507" "fl:w_ln:zhu-132" "Incyte" 2018 "10000507" "fl:t_ln:huang-350" "Incyte" 2016 "10000507" "fl:a_ln:wang-189" "Incyte" 2019 "10000507" "fl:j_ln:pan-77" "Incyte" 2016 "10000507" "fl:c_ln:xue-1" "Incyte" 2018 "10000507" "fl:a_ln:wang-189" "Incyte" 2019 "10000507" "fl:a_ln:wang-189" "Incyte" 2019 "10000507" "fl:h_ln:feng-28" "Incyte" 2018 "10000507" "fl:w_ln:zhu-132" "Merck & Co" 2019 "10000510" "fl:y_ln:hwang-2" "Merck & Co" 2017 "10000510" "fl:c_ln:lopez-9" "Merck & Co" 2016 "10000510" "fl:c_ln:lopez-9" "Merck & Co" 2016 "10000510" "fl:j_ln:gu-76" "Merck & Co" 2018 "10000510" "fl:c_ln:lopez-9" "Merck & Co" 2019 "10000510" "fl:s_ln:garad-1" "Merck & Co" 2015 "10000510" "fl:j_ln:gu-76" "Merck & Co" 2017 "10000510" "fl:j_ln:gu-76" "Merck & Co" 2015 "10000510" "fl:y_ln:hwang-2" "Merck & Co" 2018 "10000510" "fl:p_ln:pathare-1" "Merck & Co" 2015 "10000510" "fl:s_ln:garad-1" "Merck & Co" 2017 "10000510" "fl:k_ln:moshos-1" "Merck & Co" 2018 "10000510" "fl:s_ln:garad-1" "Merck & Co" 2019 "10000510" "fl:j_ln:gu-76" "Merck & Co" 2017 "10000510" "fl:s_ln:garad-1" "Merck & Co" 2016 "10000510" "fl:y_ln:hwang-2" "Merck & Co" 2018 "10000510" "fl:v_ln:jurkauskas-2" "Merck & Co" 2018 "10000510" "fl:y_ln:hwang-2" "Merck & Co" 2016 "10000510" "fl:v_ln:jurkauskas-2" "Merck & Co" 2017 "10000510" "fl:p_ln:pathare-1" "Merck & Co" 2018 "10000510" "fl:j_ln:gu-76" "Merck & Co" 2015 "10000510" "fl:v_ln:jurkauskas-2" "Merck & Co" 2017 "10000510" "fl:v_ln:jurkauskas-2" "Merck & Co" 2016 "10000510" "fl:p_ln:pathare-1" "Merck & Co" 2015 "10000510" "fl:c_ln:lopez-9" "Merck & Co" 2015 "10000510" "fl:p_ln:pathare-1" "Merck & Co" 2016 "10000510" "fl:s_ln:garad-1" "Merck & Co" 2019 "10000510" "fl:c_ln:lopez-9" "Merck & Co" 2019 "10000510" "fl:p_ln:pathare-1" "Merck & Co" 2019 "10000510" "fl:v_ln:jurkauskas-2" "Merck & Co" 2018 "10000510" "fl:k_ln:moshos-1" "Merck & Co" 2016 "10000510" "fl:k_ln:moshos-1" "Merck & Co" 2015 "10000510" "fl:k_ln:moshos-1" "Merck & Co" 2019 "10000510" "fl:k_ln:moshos-1" "Merck & Co" 2017 "10000510" "fl:y_ln:hwang-2" "Johnson & Johnson" 2017 "10000559" "fl:m_ln:murdock-2" "Johnson & Johnson" 2018 "10000559" "fl:x_ln:liu-42" "Johnson & Johnson" 2019 "10000559" "fl:s_ln:wu-6" "Johnson & Johnson" 2017 "10000559" "fl:c_ln:alderfer-1" "Johnson & Johnson" 2018 "10000559" "fl:t_ln:malia-2" "Johnson & Johnson" 2019 "10000559" "fl:m_ln:vandermeeren-1" "Johnson & Johnson" 2017 "10000559" "fl:m_ln:vandermeeren-1" "Johnson & Johnson" 2017 "10000559" "fl:x_ln:liu-42" "Johnson & Johnson" 2018 "10000559" "fl:s_ln:wu-6" "Johnson & Johnson" 2019 "10000559" "fl:d_ln:janecki-1" "Johnson & Johnson" 2018 "10000559" "fl:m_ln:vandermeeren-1" "Johnson & Johnson" 2018 "10000559" "fl:c_ln:alderfer-1" "Johnson & Johnson" 2019 "10000559" "fl:t_ln:malia-2" "Johnson & Johnson" 2017 "10000559" "fl:s_ln:wu-6" "Johnson & Johnson" 2018 "10000559" "fl:m_ln:murdock-2" "Johnson & Johnson" 2019 "10000559" "fl:c_ln:alderfer-1" "Johnson & Johnson" 2019 "10000559" "fl:x_ln:liu-42" "Johnson & Johnson" 2018 "10000559" "fl:m_ln:mercken-2" "Johnson & Johnson" 2018 "10000559" "fl:d_ln:janecki-1" "Johnson & Johnson" 2019 "10000559" "fl:m_ln:murdock-2" "Johnson & Johnson" 2019 "10000559" "fl:m_ln:mercken-2" "Johnson & Johnson" 2017 "10000559" "fl:d_ln:janecki-1" "Johnson & Johnson" 2017 "10000559" "fl:m_ln:mercken-2" "Johnson & Johnson" 2017 "10000559" "fl:t_ln:malia-2" end

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