Unpacking The Altmetric Black Box
Article Attention Scores for papers don’t seem to add up, leading one to question whether Altmetric data are valid, reliable, and reproducible.
Phil Davis is a publishing consultant specializing in the statistical analysis of citation, readership, publication and survey data. He has a Ph.D. in science communication from Cornell University (2010), extensive experience as a science librarian (1995-2006) and was trained as a life scientist. https://phil-davis.com/
Article Attention Scores for papers don’t seem to add up, leading one to question whether Altmetric data are valid, reliable, and reproducible.
Can Clarivate deliver on a single, normalized measurement of citation impact or did its marketing department promise too much?
Do Sci-Hub downloads cause more citations, or are high impact papers simply downloaded more often?
Some journals are expected to benefit immensely under Clarivate’s new counting model.
Starting 2021, Journal Impact Factors will be calcuated using online publication dates, not print ones. But phased roll-out may lead to bias for some journals.
We stand by our data. We just won’t share it or believe that you replicated our study.
Scientific authorship comes with benefits, but also responsibilities. If authors are unwilling to explain their work, editors must step up to defend their journal.
A paper linking tweets and citations comes under attack, but more from the authors’ inability to answer even basic questions about their paper and resistance to share their data.
A reanalysis of TrendMD experimental data reveal details on its effectiveness, novelty, and bias.
TrendMD may drive traffic, saves, and citations, according to a new study by the founders and employees of TrendMD. Deeper analysis of their results reveal overstated results and a lack of context. Should these papers be considered sound science just another form of marketing?