All That Matters

There are some exciting news concerning Nature Communications (where I am the Deputy Editor): it has been announced today that in a few weeks, on 20 October 2014, the journal will become fully open access – becoming the first Nature-branded open access journal. What this means is that any manuscript submitted after that date will be published under an open access licence, subject to an article processing charge. Papers published earlier retain their existing licence, and authors of papers under consideration prior to that date will still have a choice between the subscription and open access model. Regardless, from 20 October 2014 onwards the journal will make a transition to become fully open access. More details can be found in the related press release.

The default licence choice for these articles will be Creative Commons CC-BY 4.0. Although other licence types are available upon request for the same article processing charge, the CC-BY licence is the preferred licence type by many funding agencies and supporters of the open access model. It is also the licence under which this blog is published.

All in all, I believe this is a fantastic step for open access publishing, and am really excited to see this transition. Building on the existing success of the journal, it establishes Nature Communications as Nature’s flagship multidisciplinary open access journal!

As this week there is again a lot of talk about journal impact factors with the release of this year’s data later today, I like to take this timely opportunity to look at citation metrics more broadly, in terms of fundamental flaws in weighing data, and important data missing in the underlying data sets, which in my view miss important data when it comes to practical, technological impact of a study.

I recently had the opportunity of attending a talk by Paul Wouters from Leiden University, a professor of scientometrics. He pointed out one of the fundamental flaws in citation metrics that goes right to the heart of such data collection, before one should even discuss more superficial metrics such as h-index or the impact factor. Like any other piece of data, the context of a citation matters, he said. Factors that play a role are the type of paper where a reference is cited, and in what way. Was it criticism? Controversial papers for a while at least can gather a lot of citations even though eventually their impact on scientific process can be nil. There are also human aspects. Relevant points here are who cited a paper, was it a self-citation, or were there other motivations for citations? After all, citation cartels are not unheard of.

There is a lot of literature on various aspects of citation analysis, and more details on this can be found in Wouters’ doctoral thesis on citation culture, or in the 2008 paper by Jeppe Nicolaisen on citation analysis.

More broadly speaking, I am not sure whether it will be possible to properly analyse and process context when it comes to citation analysis. There are too many ways to game such systems. However, a more complex analysis might well be possible, taking the example of he ranking of web sites in search engines. There, context is everything. A website that is linked from many other sites is not necessarily an important one. Instead, a link to a web site from an important web outlet such as a popular news web site weighs much more than links from unknown web sites. Indeed, many links from news web sites or social networks might also be an indicator of immediacy, further propelling a site up the search engine rankings. […]

Planning electrical grids in a steady environment is not overly difficult. A number of large power stations are connected to urban population centres, where much of the power is consumed. Typically, such power grids would look like meshes with  interconnected distribution points that make sure that if one power station fails, others can compensate .

However, as electrical demand grows, the solution is that new power plants are built and linked to the net at various places, but often with only one connection to the network. These dead ends make the network very susceptible to blackouts, even if many of them are connected by two parallel power lines for redundancy.

In future, the use of renewable energy will pose even greater demands on such network architectures, because the distributed generation of power makes the power generation very dynamic. If the sun shines in certain parts of a country, or the wind blows strongly in one area, large amounts of power will need to be shifted between regions, and the power grids need to be capable of handling that. […]