Leaders in Pharmaceutical Business Intelligence (LPBI) Group

Financial Valuation of Three Health Care Intellectual Property (IP)

Content Asset Classes

 

Draft version 1 of Aviva’s Model Specification, Friday, February 15, 2019 at 7:22 AM

 

Part 1: IP Asset Class I: Corpus of 5,500 Scientific Articles in the Open Access Journal @PharmaceuticalIntelligence.com

https://lnkd.in/erfbayJ

Part 2: IP Asset Class II: Corpus of 16 Volumes in LPBI Group’s BioMed e-Series

https://lnkd.in/ekWGNqA

Part 3: IP Asset Class III: Corpus of +60 Conference eProceedings

• Real Time Press Coverage of Biotech Conferences, 3/2013

https://pharmaceuticalintelligence.com/press-coverage/

Part One: The Process of Real Time Coverage using Social Media

Part Two: List of BioTech Conferences 2013 to Present

Part Three: Conference eProceedings DELIVERABLES & Social Media Analytics

Part 1: IP Asset Class I: Corpus of 5,500 Scientific Articles in the Open Access Journal @PharmaceuticalIntelligence.com

 

https://lnkd.in/erfbayJ

What would be the asking price for the Journal?

 

The answer is based on a proprietary algorithm designed for the purpose of measuring the contributing factors of six processes in the creation of Economic Value by contents that were developed in Journal’s 5,500 discrete units, aka, a “Curated Article” or a “Report in an Article form.”

Process A: article classification by multiple parameters

• N1 = All articles (5,500) & all e-Readers 1.55 Million
• N2 = # of Articles by Type – Value of Curated article is x20 Value of Reported article

N2.1 # curated articles by #words per article # e-Readers per article

articleID (URL) by Author(s) Name

N2.2 # reported articles by #words per article # e-Readers per articleID (URL) by Author(s)

• N = 3 # Research Categories = 700.

Process 2: Value Score for each Category

Process 3: 7,800 Scientific comments

Process 4: Top authors by $

Process 5: Twitter Analytics of @pharma_BI @AVIVA1959 on Articles in the Journal.

Process 6: VALUATION of the Journal is a formula based on Process 1, 2, 3, 4, 5.

Each Process is assigned a relative weight, together contributing to 100% of the value created by combining the synergy achieved by all five Processes put together.

 

Pricing the Journal: MODEL’s PARAMETERS

Process A: article classification by multiple parameter

• N1 = All articles (5,500) & all e-Readers 1.55 Million
• N2 = # of Articles by Type – Value of Curated article is x20 Value of Reported article

1. N2.1 # curated articles by #words per article # e-Readers per article articleID (URL) by Author(s) Name
2. N2.2 # reported articles by #words per article # e-Readers per articleID (URL) by Author(s)

• N= 3 # Research Categories = 700.

Process 2: Value Score for each Category

Process 3: 7,800 Scientific comments

Process 4: Top authors by $

Process 5: Twitter Analytics of @pharma_BI @AVIVA1959 on Articles in the Journal.

Process 6: VALUATION of the Journal is a formula based on Process 1, 2, 3, 4, 5 each at a new weight assigned to each Process.

 

Friday, February 15, 2019 at 7:22 AM

To: Stephen J Williams <sjwilliamspa@comcast.net>; Marcus Feldman <mfeldman@stanford.edu>; Justin MDMEPhD <jdpmdphd@gmail.com>

CC: gailsthornton@yahoo.com; rmandahl@gmail.com; amnon.danzig@gmail.com; Dr. Irina Robu, PhD <irina.stefania@gmail.com>; Adam Sonnenberg <adamsonnenberg@hotmail.com>; kelly.perlman@mail.mcgill.ca; Sudipta Saha <sudiptasaha1977@gmail.com>; Dr. Larry Bernstein <larry.bernstein@gmail.com></larry.bernstein@gmail.com></sudiptasaha1977@gmail.com></adamsonnenberg@hotmail.com></irina.stefania@gmail.com>

 

On 2/15/19, 7:22 AM, “Aviva Lev-Ari” <avivalev-ari@alum.berkeley.edu> wrote:

 

Prof. Feldman and Dr. Pearlman

 

–>> Please each, comment and add concepts and refinements on these PRICE VALUATION Model OF THE JOURNAL pharmaceuticalintelligence.com

 

–>> Each addressee to this e-mail is welcome to do what I requested, above.

 

–>> Amnon you will be Model’s Excel File Owner and Excel Formulas writer of the FINAL formulation approved by every member of FIT

 

Journal Pricing Model (IP Asset Class I) Parameters in Model Pricing Algorithm – Draft version 1 of Aviva’s Model Specification

 

Process A: article classification by multiple parameter

 

N1 = All articles (5,500) & all e-Readers 1.55 Million

 

N2 = # of Articles by Type – Value of Curated article is x20 Value of Reported article

 

N2.1 # curated articles by #words per article # e-Readers per article

articleID (URL) by Author(s) Name

 

N2.2 # reported articles by #words per article # e-Readers per articleID (URL) by Author(s)

 

N= 3 # Research Categories = 700.

 

BEFORE WE COMPUTE VALUE of each Category, Dr. Williams will collapse EVERY CATEGORY WITH LESS THAN 10 articles into other existing Categories.

 

Process of Category collapse:

1. Click one by one in sequence from A to Z on each category with less then 10 articles.
2. Click on an article check off NEW CATEGORY you assign, check off

Existing category. SAVE, exit article, go to next in line

3. Repeat 2 till # articles in a category with less then 10 articles reaches Zero. Go to Categories, delete category, in case category with zero articles remains live
4. Repeat 1,2,3 till every Category has 10 or more articles in it.

 

THEN go to N2.1 and N2.2

Every article will have a score.

Store Summation across all articles

Translate total Score to $$$ by set of assumptions to be developed

 

Process 2: Value Score for each Category

 

Weighted value of a Research Category = number articles published in each Category

Go to N2.1 and N2.2

Summation across all article per Category

Summation across all categories

 

Process 3: 7,800 Scientific comments

 

Create Value Score for Comments – # of words per Comment

X $$ per word of comment

Total Value of Commets

 

Process 4: Top authors by $

 

Value of (N2.1 and N2.2) X # views per Author, proportional to Curations vs Reporting, Sum of the two

Assign $ to Author’s exposure contribution to Journal valuation

 

Process 5: Twitter Analytics of @pharma_BI @AVIVA1959 on Articles in the Journal.

 

Exposure contribution to prominence of Articles connected to Twitter, since 4/2012 – every article was connected to Twitter.

 

Process 6: VALUATION of the Journal is a formula based on Process 1, 2, 3, 4, 5 each at a new weight assigned to each Process.

 

Part 2: IP Asset Class II: Corpus of 16 Volumes in LPBI Group’s BioMed e-Series

https://lnkd.in/ekWGNqA

What would be the Asking Price for the BioMed e-Series?

The asking price for the BioMed e-series will be based on a computed numberbased on the VALUE SCORE assigned to each article in each Volume, across all articles in One volume, across all 16 volumes. The Value score of an article in the Corpus of 5,500 Journal articles is computed in Part 1 by five processes, See above.

Each e-Series will be given a relative weight. All five e-Series representing five specialties in Medicine comprises the total value of the BioMed e-Series.

• Series A: e-Books on Cardiovascular Diseases

Six Volumes – BUNDLED BY AMAZON.COM INTO A SIX-VOLUME SERIES FOR $515

https://lnkd.in/e6WkMgF

• Series B: Frontiers in Genomics Research

Two Volumes

• Series C: e-Books on Cancer & Oncology

Two Volumes

• Series D: e-Books on BioMedicine – Metabolomics, Immunology, Infectious Diseases

Three Volumes

• Series E: Patient-Centered Medicine 

Four Volumes

https://lnkd.in/ekWGNqA

Part 3: IP Asset Class III: Corpus of +60 Conference eProceedings

• Real Time Press Coverage of Biotech Conferences, 3/2013

 

What would be the Asking Price for the Corpus of 60 e-Proceedings?

 

https://pharmaceuticalintelligence.com/press-coverage/

Part One: The Process of Real Time Coverage using Social Media

Part Two: List of BioTech Conferences 2013 to Present

Part Three: Conference eProceedings DELIVERABLES & Social Media Analytics

 

The economic value of each e-Proceedings in the Corpus of 60 events, is computed by two parameters:

• The number of words in each proceedings
• The Twitter Analytics of the event
• The score generated for one event will be computed by data of all 60 events and
• Aggregation across all 60 events by a weighting factor related to # of Conference attendees

This algorithm is work-in-progress