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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
How Relevant is the Long Tail?
|
|---|---|
| Chapter number | 20 |
| Book title |
Experimental IR Meets Multilinguality, Multimodality, and Interaction
|
| Published in |
Lecture notes in computer science, August 2016
|
| DOI | 10.1007/978-3-319-44564-9_20 |
| Book ISBNs |
978-3-31-944563-2, 978-3-31-944564-9
|
| Authors |
Philipp Schaer, Philipp Mayr, Sebastian Sünkler, Dirk Lewandowski, Schaer, Philipp, Mayr, Philipp, Sünkler, Sebastian, Lewandowski, Dirk |
| Editors |
Norbert Fuhr, Paulo Quaresma, Teresa Gonçalves, Birger Larsen, Krisztian Balog, Craig Macdonald, Linda Cappellato, Nicola Ferro |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 33% |
| Spain | 1 | 11% |
| United States | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 44% |
| Members of the public | 4 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 17% |
| Student > Bachelor | 1 | 17% |
| Researcher | 1 | 17% |
| Student > Master | 1 | 17% |
| Unknown | 2 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 2 | 33% |
| Biochemistry, Genetics and Molecular Biology | 1 | 17% |
| Computer Science | 1 | 17% |
| Unknown | 2 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 09 April 2023.
All research outputs
#3,976,828
of 24,576,899 outputs
Outputs from Lecture notes in computer science
#862
of 8,155 outputs
Outputs of similar age
#64,897
of 349,766 outputs
Outputs of similar age from Lecture notes in computer science
#48
of 507 outputs
Altmetric has tracked 24,576,899 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,155 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 89% 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 349,766 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 507 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.