Getting data from the Scopus API
Posted April 03, 2015 at 03:17 PM | categories: scopus, python | tags:
Updated April 03, 2015 at 03:19 PM
I have been exploring the Scopus API (http://dev.elsevier.com/index.html ) lately. This is a RESTful API that allows you to retrieve data about publications via http requests, i.e. from a script. This service is not free; you need to be at an institution that has a Scopus license.
Scopus is very good at finding your papers, and associating them with a Scopus ID. You don't have to do anything to get one, they make it. I have a Scopus ID (http://www.scopus.com/authid/detail.url?origin=AuthorProfile&authorId=7004212771 ) that has all this data via the web, but I wanted to get this data in a tabular form I could use and analyze. Sure you can download a CSV file from that page and analyze that, but I want to script it. I am just like that ;) To use the API, you need to get an API key (http://www.developers.elsevier.com/action/devprojects ). I still cannot figure out if this key is "private" so I am not going to share mine here. I have stored it in a python file called my_scopus.py, and I will import it in these examples.
The code below is "wide", so apologies in advance that some of it will run out of the usual area it belongs.
1 About me from Scopus
There is an author API that provides a metrics view of a Scopus ID. Here this shows there are about 77 documents for me, cited about 3028 times. Why do I say "about"? Apparently there are two different databases that Scopus uses, one for the web, and one for this API, and they do not return the same data. It is close, but not the same. The API database includes thing that are published after 1995, and it may not be updated as quickly as the web database. For example the web page reports 79 documents and 3143 citations. In the next sections we will use the search API, which returns the same information as what is on the web. Here we just illustrate how to setup an http request in Python. I like json output, so we ask for it.
import requests import json from my_scopus import MY_API_KEY resp = requests.get("http://api.elsevier.com/content/author?author_id=7004212771&view=metrics", headers={'Accept':'application/json', 'X-ELS-APIKey': MY_API_KEY}) print json.dumps(resp.json(), sort_keys=True, indent=4, separators=(',', ': '))
{
"author-retrieval-response": [
{
"@_fa": "true",
"@status": "found",
"coauthor-count": "90",
"coredata": {
"citation-count": "3028",
"cited-by-count": "2369",
"dc:identifier": "AUTHOR_ID:7004212771",
"document-count": "77",
"prism:url": "http://api.elsevier.com/content/author/author_id/7004212771"
},
"h-index": "18"
}
]
}
2 Get my documents from Scopus
To find my documents, we will use the Search API, http://api.elsevier.com/documentation/SCOPUSSearchAPI.wadl . We specify a Scopus ID, and to limit the quantity of data that comes back we specify that we want the dc:identifier field, which corresponds to the scopus id for each document. We will use that in the next section to get info for each document.
import requests import json from my_scopus import MY_API_KEY resp = requests.get("http://api.elsevier.com/content/search/scopus?query=AU-ID(7004212771)&field=dc:identifier&count=100", headers={'Accept':'application/json', 'X-ELS-APIKey': MY_API_KEY}) results = resp.json() return [[str(r['dc:identifier'])] for r in results['search-results']["entry"]]
| SCOPUS_ID:84924911828 |
| SCOPUS_ID:84923164062 |
| SCOPUS_ID:84924778427 |
| SCOPUS_ID:84924130725 |
| SCOPUS_ID:84901638552 |
| SCOPUS_ID:84898934670 |
| SCOPUS_ID:84896759135 |
| SCOPUS_ID:84896380535 |
| SCOPUS_ID:84896585411 |
| SCOPUS_ID:84916613197 |
| SCOPUS_ID:84908637059 |
| SCOPUS_ID:84880986072 |
| SCOPUS_ID:84881394200 |
| SCOPUS_ID:84873706643 |
| SCOPUS_ID:84876703352 |
| SCOPUS_ID:84872843990 |
| SCOPUS_ID:84872872509 |
| SCOPUS_ID:84872845400 |
| SCOPUS_ID:84872841108 |
| SCOPUS_ID:84872855250 |
| SCOPUS_ID:84872864754 |
| SCOPUS_ID:84886483703 |
| SCOPUS_ID:84872854676 |
| SCOPUS_ID:84867809683 |
| SCOPUS_ID:84864914806 |
| SCOPUS_ID:84865730756 |
| SCOPUS_ID:84864592302 |
| SCOPUS_ID:84863684845 |
| SCOPUS_ID:84866142469 |
| SCOPUS_ID:84861127526 |
| SCOPUS_ID:84857224144 |
| SCOPUS_ID:84857197729 |
| SCOPUS_ID:84856818654 |
| SCOPUS_ID:80052944171 |
| SCOPUS_ID:80051860134 |
| SCOPUS_ID:80051809046 |
| SCOPUS_ID:79953651013 |
| SCOPUS_ID:79952860396 |
| SCOPUS_ID:79951537083 |
| SCOPUS_ID:79251517782 |
| SCOPUS_ID:77956568341 |
| SCOPUS_ID:77954747189 |
| SCOPUS_ID:77956693843 |
| SCOPUS_ID:77949916234 |
| SCOPUS_ID:77955464573 |
| SCOPUS_ID:72049114200 |
| SCOPUS_ID:78649528829 |
| SCOPUS_ID:78649504144 |
| SCOPUS_ID:77952266872 |
| SCOPUS_ID:73149124752 |
| SCOPUS_ID:73149109096 |
| SCOPUS_ID:67449106405 |
| SCOPUS_ID:63649114440 |
| SCOPUS_ID:60849113132 |
| SCOPUS_ID:58649114498 |
| SCOPUS_ID:79952218110 |
| SCOPUS_ID:79952292116 |
| SCOPUS_ID:78049295221 |
| SCOPUS_ID:79952296916 |
| SCOPUS_ID:79952225819 |
| SCOPUS_ID:78049231913 |
| SCOPUS_ID:79952234104 |
| SCOPUS_ID:79952301915 |
| SCOPUS_ID:45149129361 |
| SCOPUS_ID:40949100780 |
| SCOPUS_ID:37349101648 |
| SCOPUS_ID:58049109348 |
| SCOPUS_ID:33750804660 |
| SCOPUS_ID:33645645065 |
| SCOPUS_ID:20544467859 |
| SCOPUS_ID:15744396507 |
| SCOPUS_ID:9744261716 |
| SCOPUS_ID:13444307808 |
| SCOPUS_ID:3042820285 |
| SCOPUS_ID:2942640180 |
| SCOPUS_ID:0142023762 |
| SCOPUS_ID:0141924604 |
| SCOPUS_ID:0037368024 |
| SCOPUS_ID:0037197884 |
3 Retrieve info for a document
Here, we work out how to retrieve data for a document. We use the Abstract API (http://api.elsevier.com/documentation/AbstractRetrievalAPI.wadl ). We again use a field to limit the amount of data. Here is an example that works for an article. Scopus also lists books and conferences so, we will see how that works later. Note the unicode stuff. I was getting some errors about non-ascii characters causing the json file not to read, and then issues in constructing the string. This was only a problem for some entries.
import requests import json from my_scopus import MY_API_KEY def get_scopus_info(SCOPUS_ID): url = ("http://api.elsevier.com/content/abstract/scopus_id/" + SCOPUS_ID + "?field=authors,title,publicationName,volume,issueIdentifier," + "prism:pageRange,coverDate,article-number,doi,citedby-count,prism:aggregationType") resp = requests.get(url, headers={'Accept':'application/json', 'X-ELS-APIKey': MY_API_KEY}) results = json.loads(resp.text.encode('utf-8')) fstring = '{authors}, {title}, {journal}, {volume}, {articlenum}, ({date}). {doi} (cited {cites} times).\n' return fstring.format(authors=', '.join([au['ce:indexed-name'] for au in results['abstracts-retrieval-response']['authors']['author']]), title=results['abstracts-retrieval-response']['coredata']['dc:title'].encode('utf-8'), journal=results['abstracts-retrieval-response']['coredata']['prism:publicationName'].encode('utf-8'), volume=results['abstracts-retrieval-response']['coredata']['prism:volume'].encode('utf-8'), articlenum=(results['abstracts-retrieval-response']['coredata'].get('prism:pageRange') or results['abstracts-retrieval-response']['coredata'].get('article-number')).encode('utf-8'), date=results['abstracts-retrieval-response']['coredata']['prism:coverDate'].encode('utf-8'), doi='doi:' + results['abstracts-retrieval-response']['coredata']['prism:doi'].encode('utf-8'), cites=int(results['abstracts-retrieval-response']['coredata']['citedby-count'].encode('utf-8'))) print get_scopus_info('SCOPUS_ID:0037368024')
Kitchin J.R., Barteau M.A., Chen J.G., A comparison of gold and molybdenum nanoparticles on TiO2(1 1 0) 1 × 2 reconstructed single crystal surfaces, Surface Science, 526, 323-331, (2003-03-01). doi:10.1016/S0039-6028(02)02679-1 (cited 27 times).
4 Get information for all documents
We will use the data we previously got in the long list of Scopus IDs. A few subtle points here are that I made that a nested list so it would print as a column, and so we will have to index each entry to get the scopus id. Also, it seems that some entries generate json that cannot be parsed by python, so we wrap this in a try block and skip those entries. We need to check for the entry being a Journal article, to avoid errors with our format string. We also need to accomodate journals that do not have page ranges, but have artice numbers instead. Finally, we will format each entry so there is some html code for it.
import requests import json import textwrap from my_scopus import MY_API_KEY def get_scopus_info(SCOPUS_ID): url = ("http://api.elsevier.com/content/abstract/scopus_id/" + SCOPUS_ID + "?field=authors,title,publicationName,volume,issueIdentifier," + "prism:pageRange,coverDate,article-number,doi,citedby-count,prism:aggregationType") resp = requests.get(url, headers={'Accept':'application/json', 'X-ELS-APIKey': MY_API_KEY}) return json.loads(resp.text.encode('utf-8')) i = 0 for sid in scopus_ids: # some entries seem to have json parse errors, so we catch those try: results = get_scopus_info(sid[0]) # index 0 because the input data is a 2d array if results['abstracts-retrieval-response']['coredata']['prism:aggregationType'] == 'Journal': i += 1 fstring = '{authors}, {title}, {journal}, {volume}, {articlenum}, ({date}). <a href="https://doi.org/{doi}">{doi}</a> (cited {cites} times)\n\n' s = fstring.format(authors=', '.join([au['ce:indexed-name'].encode('utf-8') for au in results['abstracts-retrieval-response']['authors']['author']]), title=results['abstracts-retrieval-response']['coredata']['dc:title'].encode('utf-8'), journal=results['abstracts-retrieval-response']['coredata']['prism:publicationName'].encode('utf-8'), volume=results['abstracts-retrieval-response']['coredata'].get('prism:volume', 'None').encode('utf-8'), articlenum=str((results['abstracts-retrieval-response']['coredata'].get('prism:pageRange') or results['abstracts-retrieval-response']['coredata'].get('article-number'))).encode('utf-8'), date=results['abstracts-retrieval-response']['coredata']['prism:coverDate'].encode('utf-8'), doi='doi:' + results['abstracts-retrieval-response']['coredata']['prism:doi'].encode('utf-8'), cites=int(results['abstracts-retrieval-response']['coredata']['citedby-count'].encode('utf-8'))) print '{0:3d}. {1}<br>'.format(i, s) except: print '{0:3d}. {1}'.format(i, sid)
2. Boes J.R., Gumuslu G., Miller J.B., Gellman A.J., Kitchin J.R., Estimating bulk-composition-dependent H2 adsorption energies on CuxPd1- x alloy (111) surfaces, ACS Catalysis, 5, 1020-1026, (2015-02-06). doi:10.1021/cs501585k (cited 0 times)
3. Boes J.R., Kondratyuk P., Yin C., Miller J.B., Gellman A.J., Kitchin J.R., Core level shifts in Cu-Pd alloys as a function of bulk composition and structure, Surface Science, None, None, (2015-01-01). doi:10.1016/j.susc.2015.02.011 (cited 0 times)
4. Xu Z., Rossmeisl J., Kitchin J.R., A linear response DFT+U study of trends in the oxygen evolution activity of transition metal rutile dioxides, Journal of Physical Chemistry C, 119, 4827-4833, (2015-01-01). doi:10.1021/jp511426q (cited 0 times)
5. Xu Z., Kitchin J.R., Relating the electronic structure and reactivity of the 3d transition metal monoxide surfaces, Catalysis Communications, 52, 60-64, (2014-07-05). doi:10.1016/j.catcom.2013.10.028 (cited 2 times)
6. Demeter E.L., Hilburg S.L., Washburn N.R., Collins T.J., Kitchin J.R., Electrocatalytic oxygen evolution with an immobilized TAML activator, Journal of the American Chemical Society, 136, 5603-5606, (2014-04-16). doi:10.1021/ja5015986 (cited 4 times)
7. Thompson R.L., Shi W., Albenze E., Kusuma V.A., Hopkinson D., Damodaran K., Lee A.S., Kitchin J.R., Luebke D.R., Nulwala H., Probing the effect of electron donation on CO2 absorbing 1,2,3-triazolide ionic liquids, RSC Advances, 4, 12748-12755, (2014-03-17). doi:10.1039/c3ra47097k (cited 1 times)
8. Mehta P., Salvador P.A., Kitchin J.R., Identifying potential BO2 oxide polymorphs for epitaxial growth candidates, ACS Applied Materials and Interfaces, 6, 3630-3639, (2014-03-12). doi:10.1021/am4059149 (cited 0 times)
9. Miller S.D., Pushkarev V.V., Gellman A.J., Kitchin J.R., Simulating temperature programmed desorption of oxygen on Pt(111) using DFT derived coverage dependent desorption barriers, Topics in Catalysis, 57, 106-117, (2014-02-01). doi:10.1007/s11244-013-0166-3 (cited 2 times)
10. Curnan M.T., Kitchin J.R., Effects of concentration, crystal structure, magnetism, and electronic structure method on first-principles oxygen vacancy formation energy trends in perovskites, Journal of Physical Chemistry C, 118, 28776-28790, (2014-01-01). doi:10.1021/jp507957n (cited 2 times)
11. Xu Z., Kitchin J.R., Probing the coverage dependence of site and adsorbate configurational correlations on (111) surfaces of late transition metals, Journal of Physical Chemistry C, 118, 25597-25602, (2014-01-01). doi:10.1021/jp508805h (cited 0 times)
12. Lee A.S., Eslick J.C., Miller D.C., Kitchin J.R., Comparisons of amine solvents for post-combustion CO2 capture: A multi-objective analysis approach, International Journal of Greenhouse Gas Control, 18, 68-74, (2013-10-01). doi:10.1016/j.ijggc.2013.06.020 (cited 3 times)
13. Hallenbeck A.P., Kitchin J.R., Effects of O2 and SO2 on the capture capacity of a primary-amine based polymeric CO2 sorbent, Industrial and Engineering Chemistry Research, 52, 10788-10794, (2013-08-07). doi:10.1021/ie400582a (cited 7 times)
13. ['SCOPUS_ID:84873706643'] 14. Calle-Vallejo F., Inoglu N.G., Su H.-Y., Martinez J.I., Man I.C., Koper M.T.M., Kitchin J.R., Rossmeisl J., Number of outer electrons as descriptor for adsorption processes on transition metals and their oxides, Chemical Science, 4, 1245-1249, (2013-03-01). doi:10.1039/c2sc21601a (cited 16 times)
15. Lee A.S., Kitchin J.R., Chemical and molecular descriptors for the reactivity of amines with CO 2 , Industrial and Engineering Chemistry Research, 51, 13609-13618, (2012-10-24). doi:10.1021/ie301419q (cited 3 times)
16. Rubin E.S., Mantripragada H., Marks A., Versteeg P., Kitchin J., The outlook for improved carbon capture technology, Progress in Energy and Combustion Science, 38, 630-671, (2012-10-01). doi:10.1016/j.pecs.2012.03.003 (cited 91 times)
17. Akhade S.A., Kitchin J.R., Effects of strain, d-band filling, and oxidation state on the surface electronic structure and reactivity of 3d perovskite surfaces, Journal of Chemical Physics, 137, 084703, (2012-08-28). doi:10.1063/1.4746117 (cited 8 times)
18. Landon J., Demeter E., Inoglu N., Keturakis C., Wachs I.E., Vasic R., Frenkel A.I., Kitchin J.R., Spectroscopic characterization of mixed Fe-Ni oxide electrocatalysts for the oxygen evolution reaction in alkaline electrolytes, ACS Catalysis, 2, 1793-1801, (2012-08-03). doi:10.1021/cs3002644 (cited 39 times)
19. Chao R., Munprom R., Petrova R., Gerdes K., Kitchin J.R., Salvador P.A., Structure and relative thermal stability of mesoporous (La, Sr) MnO 3powders prepared using evaporation-induced self-assembly methods, Journal of the American Ceramic Society, 95, 2339-2346, (2012-07-01). doi:10.1111/j.1551-2916.2012.05236.x (cited 4 times)
20. Kitchin J., Preface: Trends in computational catalysis, Topics in Catalysis, 55, 227-228, (2012-06-01). doi:10.1007/s11244-012-9808-0 (cited 0 times)
21. Alesi W.R., Kitchin J.R., Evaluation of a primary amine-functionalized ion-exchange resin for CO 2 capture, Industrial and Engineering Chemistry Research, 51, 6907-6915, (2012-05-16). doi:10.1021/ie300452c (cited 15 times)
22. Akhade S.A., Kitchin J.R., Effects of strain, d-band filling, and oxidation state on the bulk electronic structure of cubic 3d perovskites, Journal of Chemical Physics, 135, 104702, (2011-09-14). doi:10.1063/1.3631948 (cited 3 times)
23. Man I.C., Su H.-Y., Calle-Vallejo F., Hansen H.A., Martinez J.I., Inoglu N.G., Kitchin J., Jaramillo T.F., Norskov J.K., Rossmeisl J., Universality in Oxygen Evolution Electrocatalysis on Oxide Surfaces, ChemCatChem, 3, 1159-1165, (2011-07-11). doi:10.1002/cctc.201000397 (cited 199 times)
24. Inoglu N., Kitchin J.R., Identification of sulfur-tolerant bimetallic surfaces using dft parametrized models and atomistic thermodynamics, ACS Catalysis, 1, 399-407, (2011-04-01). doi:10.1021/cs200039t (cited 9 times)
25. Miller S.D., Inoglu N., Kitchin J.R., Configurational correlations in the coverage dependent adsorption energies of oxygen atoms on late transition metal fcc(111) surfaces, Journal of Chemical Physics, 134, 104709, (2011-03-14). doi:10.1063/1.3561287 (cited 16 times)
26. Alesi Jr. W.R., Gray M., Kitchin J.R., CO2 adsorption on supported molecular amidine systems on activated carbon, ChemSusChem, 3, 948-956, (2010-08-01). doi:10.1002/cssc.201000056 (cited 18 times)
27. Landon J., Kitchin J.R., Electrochemical concentration of carbon dioxide from an oxygen/carbon dioxide containing gas stream, Journal of the Electrochemical Society, 157, None, (2010-07-23). doi:10.1149/1.3432440 (cited 3 times)
28. Inoglu N., Kitchin J.R., Simple model explaining and predicting coverage-dependent atomic adsorption energies on transition metal surfaces, Physical Review B - Condensed Matter and Materials Physics, 82, 045414, (2010-07-16). doi:10.1103/PhysRevB.82.045414 (cited 14 times)
29. Pennline H.W., Granite E.J., Luebke D.R., Kitchin J.R., Landon J., Weiland L.M., Separation of CO2 from flue gas using electrochemical cells, Fuel, 89, 1307-1314, (2010-06-01). doi:10.1016/j.fuel.2009.11.036 (cited 20 times)
30. Inoglu N., Kitchin J.R., New solid-state table: Estimating d-band characteristics for transition metal atoms, Molecular Simulation, 36, 633-638, (2010-06-01). doi:10.1080/08927022.2010.481794 (cited 16 times)
31. Tierney H.L., Baber A.E., Kitchin J.R., Sykes E.C.H., Hydrogen dissociation and spillover on individual isolated palladium atoms, Physical Review Letters, 103, 246102, (2009-12-10). doi:10.1103/PhysRevLett.103.246102 (cited 45 times)
32. Miller S.D., Kitchin J.R., Uncertainty and figure selection for DFT based cluster expansions for oxygen adsorption on Au and Pt (111) surfaces, Molecular Simulation, 35, 920-927, (2009-09-01). doi:10.1080/08927020902833137 (cited 14 times)
33. Inolu N., Kitchin J.R., Sulphur poisoning of water-gas shift catalysts: Site blocking and electronic structure modification, Molecular Simulation, 35, 936-941, (2009-09-01). doi:10.1080/08927020902833129 (cited 6 times)
34. Kitchin J.R., Correlations in coverage-dependent atomic adsorption energies on Pd(111), Physical Review B - Condensed Matter and Materials Physics, 79, 205412, (2009-05-01). doi:10.1103/PhysRevB.79.205412 (cited 26 times)
35. Han J.W., Kitchin J.R., Sholl D.S., Step decoration of chiral metal surfaces, Journal of Chemical Physics, 130, 124710, (2009-04-08). doi:10.1063/1.3096964 (cited 11 times)
36. Miller S.D., Kitchin J.R., Relating the coverage dependence of oxygen adsorption on Au and Pt fcc(1 1 1) surfaces through adsorbate-induced surface electronic structure effects, Surface Science, 603, 794-801, (2009-03-01). doi:10.1016/j.susc.2009.01.021 (cited 39 times)
37. Inoglu N., Kitchin J.R., Atomistic thermodynamics study of the adsorption and the effects of water-gas shift reactants on Cu catalysts under reaction conditions, Journal of Catalysis, 261, 188-194, (2009-01-25). doi:10.1016/j.jcat.2008.11.020 (cited 20 times)
38. Kitchin J.R., Reuter K., Scheffler M., Alloy surface segregation in reactive environments: First-principles atomistic thermodynamics study of Ag3 Pd(111) in oxygen atmospheres, Physical Review B - Condensed Matter and Materials Physics, 77, 075437, (2008-02-29). doi:10.1103/PhysRevB.77.075437 (cited 49 times)
39. Norskov J.K., Bligaard T., Logadottir A., Kitchin J.R., Chen J.G., Pandelov S., Stimming U., Response to "comment on 'trends in the exchange current for hydrogen evolution' [J. Electrochem. Soc., 152, J23 (2005)]", Journal of the Electrochemical Society, 153, 054612JES, (2006-11-14). doi:10.1149/1.2358292 (cited 9 times)
40. Kitchin J.R., Norskov J.K., Barteau M.A., Chen J.G., Trends in the chemical properties of early transition metal carbide surfaces: A density functional study, Catalysis Today, 105, 66-73, (2005-07-15). doi:10.1016/j.cattod.2005.04.008 (cited 70 times)
41. Norskov J.K., Bligaard T., Logadottir A., Kitchin J.R., Chen J.G., Pandelov S., Stimming U., Trends in the exchange current for hydrogen evolution, Journal of the Electrochemical Society, 152, None, (2005-04-07). doi:10.1149/1.1856988 (cited 282 times)
42. Norskov J.K., Rossmeisl J., Logadottir A., Lindqvist L., Kitchin J.R., Bligaard T., Jonsson H., Origin of the overpotential for oxygen reduction at a fuel-cell cathode, Journal of Physical Chemistry B, 108, 17886-17892, (2004-11-18). doi:10.1021/jp047349j (cited 1055 times)
43. Kitchin J.R., Norskov J.K., Barteau M.A., Chen J.G., Role of strain and ligand effects in the modification of the electronic and chemical Properties of bimetallic surfaces, Physical Review Letters, 93, None, (2004-10-08). doi:10.1103/PhysRevLett.93.156801 (cited 361 times)
44. Mhadeshwar A.B., Kitchin J.R., Barteau M.A., Vlachos D.G., The role of adsorbate-adsorbate interactions in the rate controlling step and the most abundant reaction intermediate of NH 3 decomposition on RU, Catalysis Letters, 96, 13-22, (2004-07-01). doi:10.1023/B:CATL.0000029523.22277.e1 (cited 45 times)
45. Kitchin J.R., Norskov J.K., Barteau M.A., Chen J.G., Modification of the surface electronic and chemical properties of Pt(111) by subsurface 3d transition metals, Journal of Chemical Physics, 120, 10240-10246, (2004-06-01). doi:10.1063/1.1737365 (cited 443 times)
46. McCormick J.R., Kitchin J.R., Barteau M.A., Chen J.G., A four-point probe correlation of oxygen sensitivity to changes in surface resistivity of TiO2(0 0 1) and Pd-modified TiO2(0 0 1), Surface Science, 545, None, (2003-11-01). doi:10.1016/j.susc.2003.08.041 (cited 11 times)
47. Kitchin J.R., Khan N.A., Barteau M.A., Chen J.G., Yakshinskiy B., Madey T.E., Elucidation of the active surface and origin of the weak metal-hydrogen bond on Ni/Pt(1 1 1) bimetallic surfaces: A surface science and density functional theory study, Surface Science, 544, 295-308, (2003-10-20). doi:10.1016/j.susc.2003.09.007 (cited 108 times)
48. Kitchin J.R., Barteau M.A., Chen J.G., A comparison of gold and molybdenum nanoparticles on TiO2(1 1 0) 1 × 2 reconstructed single crystal surfaces, Surface Science, 526, 323-331, (2003-03-01). doi:10.1016/S0039-6028(02)02679-1 (cited 27 times)
49. Song I.K., Kitchin J.R., Barteau M.A., H3PW12O40-functionalized tip for scanning tunneling microscopy, Proceedings of the National Academy of Sciences of the United States of America, 99, 6471-6475, (2002-04-30). doi:10.1073/pnas.072514399 (cited 12 times)
5 Summary thoughts
I see a lot of potential here for analytics on publications, generation of bibliography files, etc… Instead of retrieving this data every time, it would make much more sense to cache it, e.g. writing each result to a file that could then be used locally, and much faster. The downside of that is, the citations would not be updated in those files. The upside is, you could fix the titles so they are properly marked up. I do not know what the issues with some of the json files was. Some of them were unicode issues. Some other day I will try to track down the other ones.
The entries could be made a lot more functional than this. Each author could be turned into a link back to the scopus author page, for example, the title could be linked to the scopus abstract page, etc… The citations could be a button that automatically updates (like the one in this post ). That is another exercise, for another day!
Copyright (C) 2015 by John Kitchin. See the License for information about copying.
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