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.
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Text Encoder and Annotator: An All-in-one Editor for Transcribing and Annotating Manuscripts with RDF
|
---|---|
Chapter number | 52 |
Book title |
The Semantic Web
|
Published in |
Lecture notes in computer science, October 2016
|
DOI | 10.1007/978-3-319-47602-5_52 |
Book ISBNs |
978-3-31-947601-8, 978-3-31-947602-5
|
Authors |
Fabio Valsecchi, Matteo Abrate, Clara Bacciu, Silvia Piccini, Andrea Marchetti, Valsecchi, Fabio, Abrate, Matteo, Bacciu, Clara, Piccini, Silvia, Marchetti, Andrea |
Editors |
Harald Sack, Giuseppe Rizzo, Nadine Steinmetz, Dunja Mladenić, Sören Auer, Christoph Lange |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 38% |
Lecturer | 2 | 25% |
Librarian | 1 | 13% |
Student > Doctoral Student | 1 | 13% |
Unknown | 1 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 50% |
Social Sciences | 2 | 25% |
Arts and Humanities | 1 | 13% |
Unknown | 1 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 03 December 2016.
All research outputs
#15,395,259
of 22,903,988 outputs
Outputs from Lecture notes in computer science
#4,650
of 8,129 outputs
Outputs of similar age
#198,621
of 315,913 outputs
Outputs of similar age from Lecture notes in computer science
#256
of 438 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 315,913 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 438 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.