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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Measuring economic activity in China with mobile big data
|
|---|---|
| Published in |
EPJ Data Science, November 2017
|
| DOI | 10.1140/epjds/s13688-017-0125-5 |
| Authors |
Lei Dong, Sicong Chen, Yunsheng Cheng, Zhengwei Wu, Chao Li, Haishan Wu |
X Demographics
The data shown below were collected from the profiles of 46 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 Kingdom | 5 | 11% |
| United States | 4 | 9% |
| Spain | 3 | 7% |
| Italy | 3 | 7% |
| Australia | 2 | 4% |
| Japan | 2 | 4% |
| China | 2 | 4% |
| Belgium | 1 | 2% |
| Thailand | 1 | 2% |
| Other | 7 | 15% |
| Unknown | 16 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 57% |
| Scientists | 18 | 39% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Luxembourg | 1 | <1% |
| Unknown | 105 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 20% |
| Researcher | 18 | 17% |
| Student > Master | 15 | 14% |
| Other | 7 | 6% |
| Student > Postgraduate | 7 | 6% |
| Other | 17 | 16% |
| Unknown | 23 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 22 | 20% |
| Economics, Econometrics and Finance | 15 | 14% |
| Social Sciences | 10 | 9% |
| Engineering | 10 | 9% |
| Mathematics | 4 | 4% |
| Other | 18 | 17% |
| Unknown | 30 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 March 2022.
All research outputs
#1,386,144
of 25,462,162 outputs
Outputs from EPJ Data Science
#121
of 444 outputs
Outputs of similar age
#28,261
of 342,648 outputs
Outputs of similar age from EPJ Data Science
#7
of 9 outputs
Altmetric has tracked 25,462,162 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 444 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.5. This one has gotten more attention than average, scoring higher than 72% 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 342,648 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 91% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.