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Table 1. 
Summary of the criteria and scores for the different elements matched
RulesMatching eventCriteriaScore
Last name and initial (i.e., author name, e.g., “Costas, R”) Very common full name (i.e., full names that belong to the group of the most common full names in the WoS disambiguated author database as determined by the average of the distribution) 
Common full name (i.e., full names that belong to the group of the second least common full names in the WoS disambiguated author database as determined by being between the two averages – higher and lower – of the distribution) 
Uncommon full name (i.e., full names that belong to the group of the least common full names in the WoS disambiguated author database as determined by being above the second average of the distribution) 
First name Very common first name (i.e., first names that belong to the group of the most common first names in the WoS disambiguated author database as determined by the average of the distribution) 
Common first name (i.e., first names that belong to the group of the second least common first names in the WoS disambiguated author database as determined by being between the two averages – higher and lower – of the distribution) 
Uncommon first name (i.e., first names that belong to the group of the least common first names in the WoS disambiguated author database as determined by being above the second average of the distribution) 
First single name (in compound names, the first element of the name) Common first single name (i.e., first single names that belong to the group of the most common first single names in the WoS disambiguated author database as determined by being below the average of the distribution) 
Uncommon first name (i.e., first single names that belong to the group of the least common first single names in the WoS disambiguated author database as determined by being above the average of the distribution) 
4 First single name penalization The author has a first name in the papers but it does not appear in the Twitter name(s) at all4 −2 
Email URL (in the Twitter account and as obtained from the email server URL of the author) Very common author URL (i.e., URLs that belong to the group of the most common URLs in the Twitter database as determined by being below the average of the distribution) 
Common URL (i.e., URL that belongs to the group of the second least common URLs in the Twitter database as determined by being between the two averages – higher and lower – of the distribution) 
Uncommon URL (i.e., URLs that belong to the group of the least common URLs in the Twitter database as determined by being above the second average of the distribution) 
Organization name (i.e., institutional affiliations5 of the disambiguated authors) Very common organization name (i.e., organization names that belong to the group of the most common organization names in the WoS disambiguated author database as determined by the average of the distribution) 
Common organization name (i.e., organization names that belong to the group of the second least common organization names in the WoS disambiguated author database as determined by being between the two averages – higher and lower – of the distribution) 
Uncommon organization name (i.e., organization names that belong to the group of the least common organization names in the WoS disambiguated author database as determined by being above the second average of the distribution) 
City (i.e., cities of the institutional affiliations of the disambiguated authors) Very common city (i.e., cities that belong to the group of the most common cities in the WoS disambiguated author database as determined by the average of the distribution) 
Common city (i.e., cities that belong to the group of the second least common cities in the WoS disambiguated author database as determined by being between the two averages – higher and lower – of the distribution) 
Uncommon city (i.e., cities that belong to the group of the least common cities in the WoS disambiguated author database as determined by being above the second average of the distribution) 
Country (i.e., countries of the institutional affiliations of the disambiguated authors) Common country (i.e., countries that belong to the group of the most common countries in the WoS disambiguated author database as determined by being below the average of the distribution) 
Uncommon countries (i.e., countries that belong to the group of the least common countries in the WoS disambiguated author database as determined by being above the average of the distribution) 
96 Tweeter has tweeted publications from the author (i.e., self-tweeting) Number of self-tweeted publications: 1–2 
Number of self-tweeted publications: 3–5 
Number of self-tweeted publications: >5 
10 Twitter user has tweeted publications from the same micro topic(s)7 of author’s activity (excluding self-tweeting) Number of overlapping topics tweeted: 1–3 
Number of overlapping topics tweeted: 4–6 
Number of overlapping topics tweeted: >6 
11 Paired by co tweeted The tweeter has been mentioned in at least the same tweet with the paper of the author simultaneously 
12 Tweeter has tweeted publications from the same journal(s) of author’s activity (excluding self-tweeting) Number of overlapping journals tweeted: 1–5 
Number of overlapping journals tweeted: >5 
13 Commonness of the Twitter account–researcher combination Combination of 1–2 scholars/Twitter 
Combination of 3–6 scholars/Twitter 
14 The Twitter account was the best match for the WoS author (highest score based on rules 0–13) and vice versa   true/false 
RulesMatching eventCriteriaScore
Last name and initial (i.e., author name, e.g., “Costas, R”) Very common full name (i.e., full names that belong to the group of the most common full names in the WoS disambiguated author database as determined by the average of the distribution) 
Common full name (i.e., full names that belong to the group of the second least common full names in the WoS disambiguated author database as determined by being between the two averages – higher and lower – of the distribution) 
Uncommon full name (i.e., full names that belong to the group of the least common full names in the WoS disambiguated author database as determined by being above the second average of the distribution) 
First name Very common first name (i.e., first names that belong to the group of the most common first names in the WoS disambiguated author database as determined by the average of the distribution) 
Common first name (i.e., first names that belong to the group of the second least common first names in the WoS disambiguated author database as determined by being between the two averages – higher and lower – of the distribution) 
Uncommon first name (i.e., first names that belong to the group of the least common first names in the WoS disambiguated author database as determined by being above the second average of the distribution) 
First single name (in compound names, the first element of the name) Common first single name (i.e., first single names that belong to the group of the most common first single names in the WoS disambiguated author database as determined by being below the average of the distribution) 
Uncommon first name (i.e., first single names that belong to the group of the least common first single names in the WoS disambiguated author database as determined by being above the average of the distribution) 
4 First single name penalization The author has a first name in the papers but it does not appear in the Twitter name(s) at all4 −2 
Email URL (in the Twitter account and as obtained from the email server URL of the author) Very common author URL (i.e., URLs that belong to the group of the most common URLs in the Twitter database as determined by being below the average of the distribution) 
Common URL (i.e., URL that belongs to the group of the second least common URLs in the Twitter database as determined by being between the two averages – higher and lower – of the distribution) 
Uncommon URL (i.e., URLs that belong to the group of the least common URLs in the Twitter database as determined by being above the second average of the distribution) 
Organization name (i.e., institutional affiliations5 of the disambiguated authors) Very common organization name (i.e., organization names that belong to the group of the most common organization names in the WoS disambiguated author database as determined by the average of the distribution) 
Common organization name (i.e., organization names that belong to the group of the second least common organization names in the WoS disambiguated author database as determined by being between the two averages – higher and lower – of the distribution) 
Uncommon organization name (i.e., organization names that belong to the group of the least common organization names in the WoS disambiguated author database as determined by being above the second average of the distribution) 
City (i.e., cities of the institutional affiliations of the disambiguated authors) Very common city (i.e., cities that belong to the group of the most common cities in the WoS disambiguated author database as determined by the average of the distribution) 
Common city (i.e., cities that belong to the group of the second least common cities in the WoS disambiguated author database as determined by being between the two averages – higher and lower – of the distribution) 
Uncommon city (i.e., cities that belong to the group of the least common cities in the WoS disambiguated author database as determined by being above the second average of the distribution) 
Country (i.e., countries of the institutional affiliations of the disambiguated authors) Common country (i.e., countries that belong to the group of the most common countries in the WoS disambiguated author database as determined by being below the average of the distribution) 
Uncommon countries (i.e., countries that belong to the group of the least common countries in the WoS disambiguated author database as determined by being above the average of the distribution) 
96 Tweeter has tweeted publications from the author (i.e., self-tweeting) Number of self-tweeted publications: 1–2 
Number of self-tweeted publications: 3–5 
Number of self-tweeted publications: >5 
10 Twitter user has tweeted publications from the same micro topic(s)7 of author’s activity (excluding self-tweeting) Number of overlapping topics tweeted: 1–3 
Number of overlapping topics tweeted: 4–6 
Number of overlapping topics tweeted: >6 
11 Paired by co tweeted The tweeter has been mentioned in at least the same tweet with the paper of the author simultaneously 
12 Tweeter has tweeted publications from the same journal(s) of author’s activity (excluding self-tweeting) Number of overlapping journals tweeted: 1–5 
Number of overlapping journals tweeted: >5 
13 Commonness of the Twitter account–researcher combination Combination of 1–2 scholars/Twitter 
Combination of 3–6 scholars/Twitter 
14 The Twitter account was the best match for the WoS author (highest score based on rules 0–13) and vice versa   true/false 
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