You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Attention Score in Context
Handling Inconsistencies Due to Class Disjointness in SPARQL Updates
The Semantic Web. Latest Advances and New Domains
Lecture notes in computer science, May 2016
Albin Ahmeti, Diego Calvanese, Axel Polleres, Vadim Savenkov
Harald Sack, Eva Blomqvist, Mathieu d'Aquin, Chiara Ghidini, Simone Paolo Ponzetto, Christoph Lange
The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.
|Members of the public||2||100%|
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
|Readers by professional status||Count||As %|
|Student > Ph. D. Student||1||20%|
|Student > Doctoral Student||1||20%|
|Student > Master||1||20%|
|Readers by discipline||Count||As %|
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 May 2016.
All research outputs
of 23,577,761 outputs
Outputs from Lecture notes in computer science
of 8,143 outputs
Outputs of similar age
of 315,618 outputs
Outputs of similar age from Lecture notes in computer science
of 288 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,143 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 51% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,618 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 288 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.