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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
FinTech Transformation: How IT-Enabled Innovations Shape the Financial Sector
|
|---|---|
| Chapter number | 6 |
| Book title |
Enterprise Applications, Markets and Services in the Finance Industry
|
| Published in |
Lecture Notes in Business Information Processing, January 2017
|
| DOI | 10.1007/978-3-319-52764-2_6 |
| Book ISBNs |
978-3-31-952763-5, 978-3-31-952764-2
|
| Authors |
Liudmila Zavolokina, Mateusz Dolata, Gerhard Schwabe |
| Editors |
Stefan Feuerriegel, Dirk Neumann |
X Demographics
The data shown below were collected from the profiles of 52 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 10% |
| France | 3 | 6% |
| United Kingdom | 3 | 6% |
| Italy | 2 | 4% |
| Mexico | 2 | 4% |
| Canada | 2 | 4% |
| Spain | 1 | 2% |
| Indonesia | 1 | 2% |
| Peru | 1 | 2% |
| Other | 11 | 21% |
| Unknown | 21 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 49 | 94% |
| Scientists | 2 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 270 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 270 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 15% |
| Student > Master | 40 | 15% |
| Student > Bachelor | 29 | 11% |
| Researcher | 14 | 5% |
| Student > Doctoral Student | 14 | 5% |
| Other | 47 | 17% |
| Unknown | 86 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 82 | 30% |
| Economics, Econometrics and Finance | 46 | 17% |
| Computer Science | 27 | 10% |
| Engineering | 10 | 4% |
| Social Sciences | 7 | 3% |
| Other | 11 | 4% |
| Unknown | 87 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 38. 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 25 January 2022.
All research outputs
#1,111,311
of 26,186,522 outputs
Outputs from Lecture Notes in Business Information Processing
#4
of 351 outputs
Outputs of similar age
#22,719
of 425,745 outputs
Outputs of similar age from Lecture Notes in Business Information Processing
#2
of 8 outputs
Altmetric has tracked 26,186,522 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 351 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 98% 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 425,745 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.