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Twitter Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Implicit Entity Linking in Tweets
|
|---|---|
| Chapter number | 8 |
| Book title |
The Semantic Web. Latest Advances and New Domains
|
| Published in |
Lecture notes in computer science, May 2016
|
| DOI | 10.1007/978-3-319-34129-3_8 |
| Book ISBNs |
978-3-31-934128-6, 978-3-31-934129-3
|
| Authors |
Sujan Perera, Pablo N. Mendes, Adarsh Alex, Amit P. Sheth, Krishnaprasad Thirunarayan, Amit Sheth, Perera, Sujan, Mendes, Pablo N., Alex, Adarsh, Sheth, Amit P., Thirunarayan, Krishnaprasad |
| Editors |
Harald Sack, Eva Blomqvist, Mathieu d'Aquin, Chiara Ghidini, Simone Paolo Ponzetto, Christoph Lange |
Twitter Demographics
The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 9% |
| India | 1 | 9% |
| Germany | 1 | 9% |
| Unknown | 8 | 73% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 82% |
| Scientists | 1 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 21% |
| Student > Master | 7 | 18% |
| Researcher | 5 | 13% |
| Student > Doctoral Student | 2 | 5% |
| Other | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 8 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 22 | 56% |
| Medicine and Dentistry | 3 | 8% |
| Business, Management and Accounting | 2 | 5% |
| Engineering | 2 | 5% |
| Psychology | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 9 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 28 July 2017.
All research outputs
#6,210,392
of 22,997,544 outputs
Outputs from Lecture notes in computer science
#2,025
of 8,146 outputs
Outputs of similar age
#91,798
of 314,231 outputs
Outputs of similar age from Lecture notes in computer science
#79
of 288 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 8,146 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 74% 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 314,231 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 70% 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 72% of its contemporaries.