1 Introduction
journal articles (e.g., Bartlett, Sterne, & Egger, 2002). Some previous studies have automatically identified relevant articles using keyword queries in news databases (e.g., Lexis-Nexis) to identify mentions of named medicines (Moynihan et al., 2000) but this method only works for topics with a finite set of keywords and a more general automatic method is needed. In response, this article introduces for the first time an automatic method to find press coverage of almost any area of research. This article also uses the method to analyse mentions of a substantial number of science (n=9,639) and social science (n=3,412) academic journals in a set of digitised newspaper stories (eight UK daily newspapers during 2006-2015), to update previous manual studies in a faster and easily replicable way. Previous studies have reported which journals are frequently covered in small sets of newspaper stories. Moreover, there have been initiatives by Altmetric.com1(1https://www.altmetric.com/about-our-data/our-sources/news) and PlumX2(2https://plumanalytics.com/tag/news-mentions/) to capture mentions of scholarly articles in news sources. However, it seems that article metadata (e.g., title, journal name) is rarely mentioned in news stories (e.g., 12%-13% see: Lewison et al., 2008; De Semir, Ribas & Revuelta, 1998). Hence, this article introduces an automatic method for comprehensive journal-level analysis of press uptake of scientific articles. This method can also be used to aid the evaluation of the wider impacts of academic research.
2 Research questions
3 Data and methods
3.1 Stage 1: Selection of journals and construction of ProQuest queries
3.2 Stage2: ProQuest searches for news stories mentioning academic journals
3.3 Stage 3: Identifying correct journal matches
3.4 Stage 4: Removing duplicate and near duplicate stories
3.5 Content analysis of news stories citing academic journals
4 Results
4.1 Newspaper citations to WoS Journals
Figure 1. The percentage of WoS Science and Social Science journals (JCR: 2006-2015) with at least one identified citation from (eight) UK newspapers during 2006-2015, based on the ProQuest UK Newsstand database. |
Figure 2. The number of identified citations to Science and Social Science WoS journals in eight UK newspapers during 2006-2015 based on the ProQuest UK Newsstand database. |
4.2 Subject areas of WoS journals cited by newspapers
Figure 3. The percentage of WoS Science journals with at least one identified citation from UK newspapers during 2006-2015, by broad subject area. |
Figure 4. The percentage of WoS Social Science journals with at least one identified citation from UK newspapers during 2006-2015, by broad subject area. |
4.3 Journals most cited by major UK newspapers
Figure 5. The seven WoS Science journals with the most identified citations (%) from the eight UK newspapers during 2006-2015 in ProQuest UK Newsstand. |
Figure 6. The nine WoS Social Science journals with the most identified citations from eight UK newspapers during 2006-2015 in ProQuest UK Newsstand. |
4.4 Newspaper citations to journals over time
Figure 7. The number of Science journals mentioned by UK newspapers during 2006-2015. |
Figure 8. The number of Social Science journals mentioned by UK newspapers during 2006-2015. |
4.5 Topics of citing news stories
4.6 Content analysis of news stories citing journals
Table 1 Common reasons for newspaper stories citing journals based on a faceted content analysis of a random sample of 360 newspaper stories mentioning a WoS Science journal. |
Broad categories | Narrow classes | Daily Mail | Daily Teleg. | Times | Daily Mirror | Guard. | Indep. | Herald | Sun | %Total |
---|---|---|---|---|---|---|---|---|---|---|
Types of citation | Research | 97.8% | 98% | 89.6% | 100.0% | 85.9% | 88.1% | 97.0% | 95.6% | 94.0% |
Non-res. | 2.2% | 2% | 9.6% | 0.0% | 14.1% | 11.9% | 3.0% | 3.7% | 5.8% | |
Coverage of research | Brief | 37.9% | 31.1% | 41.7% | 63.7% | 41.7% | 25.6% | 17.1% | 66.7% | 40.7% |
Extensive | 62.1% | 68.9% | 58.3% | 36.3% | 58.3% | 74.4% | 82.9% | 33.3% | 59.3% | |
Sources used | Single | 37.9% | 58.3% | 53.3% | 54.8% | 33.3% | 37.6% | 54.3% | 50.0% | 47.4% |
Multiple | 62.1% | 41.7% | 46.7% | 45.2% | 66.7% | 62.4% | 45.7% | 50.0% | 52.6% | |
Type of news (sentiment towards res.) | Good | 48.5% | 31.1% | 19.2% | 38.5% | 32.4% | 35.0% | 26.4% | 23.8% | 31.9% |
Bad | 24.2% | 32.6% | 37.5% | 30.4% | 41.7% | 29.9% | 42.6% | 46.8% | 35.7% | |
Other | 27.3% | 36.4% | 43.3% | 31.1% | 25.9% | 35.0% | 31.0% | 29.4% | 32.4% | |
Research quality judgment | High | 8.3% | 0.0% | 2.5% | 3.7% | 8.3% | 14.5% | 2.3% | 4.0% | 5.5% |
Low | 0.8% | 0.0% | 2.5% | 0.7% | 1.9% | 0.9% | 0.0% | 0.0% | 0.8% | |
Other | 90.9% | 100.0% | 95.0% | 95.6% | 89.8% | 84.6% | 97.7% | 96.0% | 93.7% |
5 Limitations
6 Discussion and Conclusions
in all newspapers (Tables E and F in the appendix). This is the first reported comprehensive analyses of these issues.