altmetrics : from hype to opportunity seven use cases for altmetrics

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Altmetrics: from hype to opportunity Seven use cases for altmetrics Mike Taylor Research Specialist [email protected]

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Altmetrics : from hype to opportunity Seven use cases for altmetrics. Mike Taylor Research Specialist [email protected] Elsevier Labs is a Research and Development group in Elsevier IT Part of Enterprise Architecture - PowerPoint PPT Presentation


Getting to grips with Altmetrics as a Journal Editor

Altmetrics: from hype to opportunitySeven use cases for altmetrics

Mike TaylorResearch Specialist[email protected]

Elsevier Labs is a Research and Development group in Elsevier ITPart of Enterprise ArchitectureLinked / semantic data, tech / acquisition evaluations, ORCID, cloud from Labs to businessText mining, natural language processing, profiling, altmetrics in various stages of transition

Some in or near productionSome need academic researchSome need business researchSome need environmental development

Seven reasons to use altmetrics1Researchers like other human beings are social, engaged and interested.

Enabling discovery of networks and networks is interesting.

Status - Live

#1 Because Theyre InterestingAltmetric tools enable discovery of previously-hidden engagement and usage.

#1 Because Theyre Interesting

Tweet about an article I wrote

Blogs, news items, reviews, social activity, scholarly activity

2Some articles have influence that is not revealed through citation.

Altmetrics provides alternative views of usage.

Status - Being used

#2 Discovering hidden impact

Substantial evidence that scholars have a high degree of engagement in science / social issues:FundingPolicyGenderOpen accessCross-over interest revealed in social activity, scholarly activity in top 0.5% articles, even in the absence of mass media interestData provided by

#3 Predicting citationBeing able to predict highly cited papers is of great use to scholars, publishers, institutions.

Altmetric data can play a role in prediction.

Status academic research


There is evidence that some highly cited papers can be predicted using a mix of dataTwitter is not a good source of this dataMendeley / Citeulike are likely good sourcesIdentifying influential papers makes them influentialCan this work for non-English language papers?Can this work for non-DOI, non-IF articles and papers?=> Sigint signal intelligence might open up developing world research to wider attention

Data provided by Altmetric.com4

#4 Real-time informationKnowing what other people are reading and discussing reduces the amount of time needed to search the literature.

Altmetrics enables this discovery

Status business research

An obvious use-case to effectively crowd-source literature searchesBut a very small % of papers receives a very % of attentionAltmetric data needs to be associated other data, eg, network analysis and similarity5

#5 Re-useThere is increasing effort into re-use of data sets (and other research outputs, eg, code)

As well as representing usage, altmetrics data can include re-usage data

Status requires investigation and environmental change

Data from data repositories Data Dryad, and othersCode from githubGraphics (and data, etc) on FigshareDownside: data repository is fragmented, 600+ repositories registered at databib.orgUpside: Datacite, ODIN, ORCID, DOI, Draft Declaration of Data Citation Principles


#6 Performance comparisonPublishers, institutions and platforms differ in their abilities to promote use, re-use and sharing.

Altmetric data can allow (cautious) comparative, like-for-like, benchmarking

Status community investigation

If altmetrics measures something that predicts citation, social reach, re-usage, etc, then the promotion of efficient strategies that enable optimum activity is of interest to all of usPrivate data reveals one UK university doubling its data within a year by one hireStart-ups:, www.growkudos.com7

#7 Social reachThe importance understanding social impact of research is increasing.

Altmetric data might offer us the ability to compute the social reach of research, a component of social impact.

Status - uncertain

Encouraging researchers to use, re-use material is one issueEncouraging the lay community to access, consume, is anotherDetecting usage amongst the legislative, regulatory communities is another

Detecting usage in the scholarly community is one issueDetecting usage in the lay community is anotherDetecting usage amongst the legislative, regulatory communities is very difficult

Social impact can be very visible, but its usually very stealthy.Serious papers can (and do) get 1000s of tweetsThe headline papers the top 1%, 2% - are misleading

ConclusionWe serve communities of humans: we shouldnt rule out human interest as trivial.As data, investment and analysis grows, altmetrics will become a vital source of data (and will probably not be known as altmetrics)