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What increases (social) media attention:
Research impact, author prominence or title
attractiveness?
Olga Zagovora
Olga Zagovora, Katrin Weller, Milan Janosov,
Claudia Wagner and Isabella Peters
1
Factors affecting
Number of citations
 “Paper related factors’’
 quality of paper
 novelty and interest of subject
 characteristics of fields and study topics
 methodology
 document type
 study design
 characteristics of results and discussion
 use of figures and appendix
 characteristics of the titles and abstracts
 characteristics of references
 length of paper
 age of paper
 early citation and speed of citation
 accessibility and visibility of papers
 ‘‘Journal related factors’’
 journal impact factor
 language of journal
 scope of journal
 form of publication
 ‘‘Author(s) related factors’’
 number of authors
 author’s reputation
 author’s academic rank,
 author’s productivity
 international and national collaboration of authors
 authors’ country, gender, age and race
 organizational features and funding
 self-citations
(Social) media mentions
 Number of citations
 ...
 title length (Zahedi &
Haustein, 2018)
 title amusement level
(Subotik & Mukherjee,
2014)
 Media popularity of topic
2
What matters for (social) media attention?
 # citations
 Discipline
 Publication year
 Affiliation
 @rank
 Country
 @GDP on edu
 Collaboration net
 @PageRank
 Length
 # char, # words, #:
 Sentiment
 Polarity
 Subjectivity
3
Research impact Author prominence Title attractiveness
Research Questions
 Which features of publications are associated
with increased (social) media attention?
 RQ1: What are the most effective factors?
 RQ2: Which discipline-specific differences exist
between those features?
 RQ3: Are the same types of publications popular
across different media channels?
(Social) media attention: Wikipedia, Facebook, News,
Twitter; Altmetric score [see also Altmetric.com]
4
5
Datasets
Publications
 Multidisciplinary journal; control
for disciplines
 High impact journals;
comparable papers in terms of
quality
Selected Journals:
 PNAS 2004-2017
 Nature Communications (NC)
2010-2017
Additional data
 Web of Science (as of 07.12.2017)
 DOI, Publication year, Title, Full
author names, Citation counts
 PNAS website
 Field of Science
 Springer Nature SciGraph Data
Explorer
 Field of Science
 Altmetric.com (till 07.12.2017)
 Altmetric score
 Wikipedia
 Twitter
 Facebook
 News
6
Discipline (OECD) PNAS NC
Agricultural sciences 221 62
Engineering & Technology 1 133 2 482
(Humanities) (0) (35)
Medical & Health sciences 12 813 2 649
Natural sciences 27 994 10 410
Social sciences 1 810 245
Total 43 921 15 883
Modified variables
 Citation counts normalization by year &
discipline
 Log transformation by Thelwall (2017); MNLCS

ln(1+𝑥 𝑖)
1
𝑛 𝑗=1
𝑛
ln(1+𝑥 𝑗)
, where 𝑥𝑖- citation count and 𝑥𝑗 is from the same
discipline and year as 𝑥𝑖.
 Altmetric score normalization by year &
discipline
 Normalized Log-transformed Altmetric Score (NLAS)
7
Regression models
Dependent var.
 Media attention metrics:
 Altmetric score, log-
transformed normed (NLAS)
 # Wikipedia articles
 # News stories
 # tweets
 # Facebook posts
Independent var.
 Research impact
 Citations counts, log-
transformed normed
(MNLCS)
 Year of publication
 Author prominence
 First author PageRank
 Last author PageRank
 Title attractiveness
 Length
 Title chunks “:”
 Sentiment:
 Polarity
 Subjectivity
8
Research impact
MNLCS
 Higher impact papers
1.
2.
3.
4.
Recency
9
Click to add Title – but what??
10
What matters? Nature Communication PNAS
Short titles all all
„:“ Wikipedia
Altmetric score
(e.g., Natural sciences)
1.Twitter
2. News
3. Facebook
Positive sentiment Altmetric score
(e.g., Natural sciences)
1. Twitter
2. News
-
Objective Altmetric score Altmetric score
(e.g., Natural sciences)
1. Twitter
2. News
3. Facebook
Co-authorship network and PageRank
11
10 papers in PNAS
14 coauthors
1 paper in PNAS
4 coauthors
1 paper in PNAS
0 coauthors
Olya JohnProf. Frink
High page rank Low page rank Lowest page rank
First author
12
10 papers in PNAS
14 coauthors
1 paper in PNAS
4 coauthors
1 paper in PNAS
0 coauthors
Olya JohnProf. Frink
High page rank Low page rank Lowest page rank
No significant relations
BUT :
 PNAS Medical & Health
Sciences
Last author
13
11 papers in PNAS
15 coauthors
2 papers in PNAS
5 coauthors
1 paper in PNAS
4 coauthors
Olya JohnProf. Frink
High page rank Low page rank Lowest page rank
Last author
14
11 papers in PNAS
15 coauthors
2 papers in PNAS
5 coauthors
1 paper in PNAS
4 coauthors
Olya JohnProf. Frink
High page rank Low page rank Lowest page rank
PNAS Journal:
 Altmetric score
 overall
 in Social, Medical & Health
sciences
 News
 Twitter
 Facebook
Nature Communications:
 Facebook
Summary
 Features associated with increased (social) media attention:
 Articles with shorter titles are more likely to appear in media
 Polarity of title matters for
 Twitter attention to NC papers – Positive
 New collaborations attract media attention
 News, Twitter, Facebook
 Journals inconsistencies
 What’s next?
 Supplement feature list with
 Authors' academic age and productivity level
 Google trends of topics
 Effect size comparison
 Causality
Thank you!
Olga Zagovora
17

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What increases (social) media attention: Research impact, author prominence or title attractiveness?

  • 1. What increases (social) media attention: Research impact, author prominence or title attractiveness? Olga Zagovora Olga Zagovora, Katrin Weller, Milan Janosov, Claudia Wagner and Isabella Peters 1
  • 2. Factors affecting Number of citations  “Paper related factors’’  quality of paper  novelty and interest of subject  characteristics of fields and study topics  methodology  document type  study design  characteristics of results and discussion  use of figures and appendix  characteristics of the titles and abstracts  characteristics of references  length of paper  age of paper  early citation and speed of citation  accessibility and visibility of papers  ‘‘Journal related factors’’  journal impact factor  language of journal  scope of journal  form of publication  ‘‘Author(s) related factors’’  number of authors  author’s reputation  author’s academic rank,  author’s productivity  international and national collaboration of authors  authors’ country, gender, age and race  organizational features and funding  self-citations (Social) media mentions  Number of citations  ...  title length (Zahedi & Haustein, 2018)  title amusement level (Subotik & Mukherjee, 2014)  Media popularity of topic 2
  • 3. What matters for (social) media attention?  # citations  Discipline  Publication year  Affiliation  @rank  Country  @GDP on edu  Collaboration net  @PageRank  Length  # char, # words, #:  Sentiment  Polarity  Subjectivity 3 Research impact Author prominence Title attractiveness
  • 4. Research Questions  Which features of publications are associated with increased (social) media attention?  RQ1: What are the most effective factors?  RQ2: Which discipline-specific differences exist between those features?  RQ3: Are the same types of publications popular across different media channels? (Social) media attention: Wikipedia, Facebook, News, Twitter; Altmetric score [see also Altmetric.com] 4
  • 5. 5
  • 6. Datasets Publications  Multidisciplinary journal; control for disciplines  High impact journals; comparable papers in terms of quality Selected Journals:  PNAS 2004-2017  Nature Communications (NC) 2010-2017 Additional data  Web of Science (as of 07.12.2017)  DOI, Publication year, Title, Full author names, Citation counts  PNAS website  Field of Science  Springer Nature SciGraph Data Explorer  Field of Science  Altmetric.com (till 07.12.2017)  Altmetric score  Wikipedia  Twitter  Facebook  News 6 Discipline (OECD) PNAS NC Agricultural sciences 221 62 Engineering & Technology 1 133 2 482 (Humanities) (0) (35) Medical & Health sciences 12 813 2 649 Natural sciences 27 994 10 410 Social sciences 1 810 245 Total 43 921 15 883
  • 7. Modified variables  Citation counts normalization by year & discipline  Log transformation by Thelwall (2017); MNLCS  ln(1+𝑥 𝑖) 1 𝑛 𝑗=1 𝑛 ln(1+𝑥 𝑗) , where 𝑥𝑖- citation count and 𝑥𝑗 is from the same discipline and year as 𝑥𝑖.  Altmetric score normalization by year & discipline  Normalized Log-transformed Altmetric Score (NLAS) 7
  • 8. Regression models Dependent var.  Media attention metrics:  Altmetric score, log- transformed normed (NLAS)  # Wikipedia articles  # News stories  # tweets  # Facebook posts Independent var.  Research impact  Citations counts, log- transformed normed (MNLCS)  Year of publication  Author prominence  First author PageRank  Last author PageRank  Title attractiveness  Length  Title chunks “:”  Sentiment:  Polarity  Subjectivity 8
  • 9. Research impact MNLCS  Higher impact papers 1. 2. 3. 4. Recency 9
  • 10. Click to add Title – but what?? 10 What matters? Nature Communication PNAS Short titles all all „:“ Wikipedia Altmetric score (e.g., Natural sciences) 1.Twitter 2. News 3. Facebook Positive sentiment Altmetric score (e.g., Natural sciences) 1. Twitter 2. News - Objective Altmetric score Altmetric score (e.g., Natural sciences) 1. Twitter 2. News 3. Facebook
  • 11. Co-authorship network and PageRank 11 10 papers in PNAS 14 coauthors 1 paper in PNAS 4 coauthors 1 paper in PNAS 0 coauthors Olya JohnProf. Frink High page rank Low page rank Lowest page rank
  • 12. First author 12 10 papers in PNAS 14 coauthors 1 paper in PNAS 4 coauthors 1 paper in PNAS 0 coauthors Olya JohnProf. Frink High page rank Low page rank Lowest page rank No significant relations BUT :  PNAS Medical & Health Sciences
  • 13. Last author 13 11 papers in PNAS 15 coauthors 2 papers in PNAS 5 coauthors 1 paper in PNAS 4 coauthors Olya JohnProf. Frink High page rank Low page rank Lowest page rank
  • 14. Last author 14 11 papers in PNAS 15 coauthors 2 papers in PNAS 5 coauthors 1 paper in PNAS 4 coauthors Olya JohnProf. Frink High page rank Low page rank Lowest page rank PNAS Journal:  Altmetric score  overall  in Social, Medical & Health sciences  News  Twitter  Facebook Nature Communications:  Facebook
  • 15. Summary  Features associated with increased (social) media attention:  Articles with shorter titles are more likely to appear in media  Polarity of title matters for  Twitter attention to NC papers – Positive  New collaborations attract media attention  News, Twitter, Facebook  Journals inconsistencies  What’s next?  Supplement feature list with  Authors' academic age and productivity level  Google trends of topics  Effect size comparison  Causality

Editor's Notes

  1. where we studied factors affecting social media attention to research papers.
  2. - I would like to start with brief overwiew of what have been done so far in the area. There have been dozens of studies on factors affecting n. of c. And probably that is why we are here; we all study these factors from different perspectives. - Overall, one can define 3 pools of factors. ... - But what are the factors/features affection social media attention? First of all … It have been studied that … - Mediators or confounders There ve been few studies looking into some of those factors and checking whether they affect mentions in certain media. - Zahedi & Haustein (2018) showed that Mendeley readership counts have a small negative correlation with the title length of paper in most disciplines. And here we also have one more factor that … In our ongoing study within the frame of metrics project we are going to identify and quantify the most effective factors affecting s. m. a. In this paper we presented the first steps with this regard.
  3. explanatory analysis; Focused on from our … might be …most important ..take into account.. Stephen Hawking; network centrality features of authors in co-authorship network ... due to multicolinearity ...
  4. So we studied which features of p. are ... ( coverage of scientific publications varies across altmetric aggregators but also across disciplines and social media-platforms. Therefore, in-depth analysis of publication features has to consider the particular discipline or media-specific particularities. ) We studied features effects and differences along 3 dimensions: dicipline; social media platforms and here were are moving to the 3rd dimension with an example
  5. At the time when we run this study, paper on „How diversity works“ was rated as the most tranding one according to it altmetric score. It is important to keep in mind that popular science magazins, like Scientific American, might receive more media attention than any hard core scientific journal (And overtall, there might be differences in interst to certain journals.) So, controling for journal particularities is mandatory . So, our 3rd dimension is journals.
  6. So, which journals to select? multidisciplinary; quality; due to competitive peer reviewing process; desent amount of publications
  7. (NC & PNAS) publications have almost 3 times stronger positive effect of citation impact on number of tweets than number of newspaper articles. Nature of encyclopedia
  8. Lets move to our preliminary results with regards to Author related factors .Based on a publications made in PNAS and NC journals, we created co-authorship network and calculate centrality measure, pagerank. Let’s imagine that Prof. Frink
  9. studies should control for the journal; the relationship of media attention and publication features may strongly be influenced by journal marketing strategies. Ant still there are many things that should be still done. And we are going to improve our model and supplement it with more feature …
  10. President Donald Trump’s immigration order ; travel ban ; 7 countries
  11. Scientific community reacted to that …
  12. People who are different from one another in race, gender and other dimensions bring unique information and experiences to deal with tasks This is not only because people with different backgrounds bring new information. Interaction ; forces group members to prepare better ; alternative view points; reaching consensus will take an effort Simply interacting with individuals who are different forces group members to prepare better, to anticipate alternative viewpoints and to expect that reaching consensus will take effort.